Vehicle safety has becoming one of the important issues nowadays, due to the fact the number of road accidents, which cause injuries, deaths and also damages, keeps on increasing. One of the main factors which contribute to these accidents are human's lack of awareness and also carelessness. This paper presents the development and implementation of an algorithm to be utilized for vehicle anti-collision alert system, which may be useful to reduce the occurrence of accidents. This algorithm, which is to be deployed with the front sensors of the vehicle, is capable of alerting any occurrence of sudden slowing or static vehicles ahead, by sensing the rate of distance change. Furthermore, it also triggers an alert if the driver is breaching the safe distance from the vehicle ahead. This algorithm has been successfully implemented in Altera DE0 FPGA and its functionality was validated via hardware experimental tests.
IRJET- Automated Speed Control of AutomotivesIRJET Journal
This document describes a system for automated speed control of vehicles using RF transmitters and receivers, GPS, and collision detection sensors. The system aims to replace speed breakers and autonomously limit vehicle speed in designated safe zones. It uses RF signals to control speed when a vehicle enters an area and GPS coordinates to define speed zones. An ultrasonic sensor measures distance to detect potential collisions and triggers warnings or forced braking. The system was prototyped and tested, demonstrating redundant speed control and accurate collision detection. The goal is to reduce accidents by automatically enforcing speed limits and preventing collisions.
IRJET- Car Obstacle Detection and Pollution Level Tracing using Node MCUIRJET Journal
This document describes a system that uses sensors installed in vehicles to detect obstacles and monitor pollution levels. The system uses an ultrasonic sensor to detect objects in front of the vehicle to avoid accidents. It also uses gas sensors to detect CO2 emitted from the vehicle. When obstacles are detected, the system automatically controls the vehicle speed to avoid collisions. The pollution levels are also monitored and notifications are sent if levels exceed standards. The system aims to reduce road accidents and monitor vehicle emissions using sensors and microcontrollers connected to the Internet of Things.
Implementation Of Ambulance Rescue System Using LabVIEW (IARS)IRJET Journal
This document describes a LabVIEW-based ambulance rescue system called IARS that automatically alerts ambulances in the event of a vehicle accident. The system consists of three main units: a vehicle unit fitted with sensors to detect accidents, a main server to receive accident locations and determine the nearest ambulance, and ambulance units that receive accident details from the server. When an accident is detected, the vehicle unit sends the location to the main server via GPS and GSM. The server then uses a shortest path algorithm to identify the closest available ambulance and sends it the accident location. This system aims to reduce response times and save lives by automating the accident response process.
IRJET- Smart Car Monitoring System using ArduinoIRJET Journal
1. This document describes a smart car monitoring system using Arduino that monitors vehicle conditions like location, accidents, and gas leaks.
2. The system uses an accelerometer sensor to detect accidents, and sends signals to a microcontroller. A GPS receiver and GSM modem are used to send the vehicle's location and messages to a mobile number in the event of an accident.
3. The system aims to reduce deaths from accidents by informing families and emergency services quickly when an accident occurs. It could also detect gas leaks and high temperatures.
This document presents an alcohol detection and monitoring system with engine locking that is designed to reduce drunk driving accidents. The system uses an alcohol sensor to detect alcohol levels in a driver's breath and will send a signal to a microcontroller to stop the engine and trigger an alarm if alcohol is detected. It also uses a GPS module to track the vehicle's location and a GSM module to send a message with the location to local authorities. The system is intended to automatically detect drunk driving and alert authorities in order to improve road safety.
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...Arvind Srivastava
The Ultrasonic Automatic Braking System in cars is a safety measure which can be implemented to apply the brakes suddenly in case of collision. Accelerator disengagement mechanism uses a servo motor and an additional link which shuts down the throttle valve to disengage accelerator and then the brakes.
IRJET- Implementation of Smart Black Box System for Gathering the Safety Info...IRJET Journal
1) The document presents a smart black box system that collects safety information like a vehicle's location, temperature, and obstacles during an accident to help investigations.
2) The system uses sensors to record this information in real-time and stores it, then sends the data to authorities via email if an accident occurs to help determine what happened.
3) The goal is to reduce accidents and response times by monitoring vehicle conditions and automatically notifying emergency services with the vehicle's location if an accident is detected.
Heart attack and alcohol detection sensor using internet of thingsEditorIJAERD
—In this system we tend to implement a heart-beat observation and heart failure detection system victimization
using the Internet of things. Recently we have got enlarged range of heart diseases as well as enlarged risk of heart
attacks. The detector is then interfaced to a microcontroller that enables checking pulse rate readings and transmittal
them over web. The user might set the high likewise as low levels of heart beat limit. Once setting these limits, the system
starts observation as shortly as patient heart beat goes on top of an explicit limit, the system sends response to the
controller that then transmits this over the net and alerts the doctors likewise as involved. This technique is employed to
watch heartbeat rate of the motive force perpetually and prevents from the accidents by dominant through IOT. IOT
conveys the emergency message to the Owner, auto and therefore the Police. Arduino processor ATmega328 is ready to
handle a lot of functions than standard microcontrollers. This technique is intended for the protection of individuals
sitting within the vehicle.
IRJET- Automated Speed Control of AutomotivesIRJET Journal
This document describes a system for automated speed control of vehicles using RF transmitters and receivers, GPS, and collision detection sensors. The system aims to replace speed breakers and autonomously limit vehicle speed in designated safe zones. It uses RF signals to control speed when a vehicle enters an area and GPS coordinates to define speed zones. An ultrasonic sensor measures distance to detect potential collisions and triggers warnings or forced braking. The system was prototyped and tested, demonstrating redundant speed control and accurate collision detection. The goal is to reduce accidents by automatically enforcing speed limits and preventing collisions.
IRJET- Car Obstacle Detection and Pollution Level Tracing using Node MCUIRJET Journal
This document describes a system that uses sensors installed in vehicles to detect obstacles and monitor pollution levels. The system uses an ultrasonic sensor to detect objects in front of the vehicle to avoid accidents. It also uses gas sensors to detect CO2 emitted from the vehicle. When obstacles are detected, the system automatically controls the vehicle speed to avoid collisions. The pollution levels are also monitored and notifications are sent if levels exceed standards. The system aims to reduce road accidents and monitor vehicle emissions using sensors and microcontrollers connected to the Internet of Things.
Implementation Of Ambulance Rescue System Using LabVIEW (IARS)IRJET Journal
This document describes a LabVIEW-based ambulance rescue system called IARS that automatically alerts ambulances in the event of a vehicle accident. The system consists of three main units: a vehicle unit fitted with sensors to detect accidents, a main server to receive accident locations and determine the nearest ambulance, and ambulance units that receive accident details from the server. When an accident is detected, the vehicle unit sends the location to the main server via GPS and GSM. The server then uses a shortest path algorithm to identify the closest available ambulance and sends it the accident location. This system aims to reduce response times and save lives by automating the accident response process.
IRJET- Smart Car Monitoring System using ArduinoIRJET Journal
1. This document describes a smart car monitoring system using Arduino that monitors vehicle conditions like location, accidents, and gas leaks.
2. The system uses an accelerometer sensor to detect accidents, and sends signals to a microcontroller. A GPS receiver and GSM modem are used to send the vehicle's location and messages to a mobile number in the event of an accident.
3. The system aims to reduce deaths from accidents by informing families and emergency services quickly when an accident occurs. It could also detect gas leaks and high temperatures.
This document presents an alcohol detection and monitoring system with engine locking that is designed to reduce drunk driving accidents. The system uses an alcohol sensor to detect alcohol levels in a driver's breath and will send a signal to a microcontroller to stop the engine and trigger an alarm if alcohol is detected. It also uses a GPS module to track the vehicle's location and a GSM module to send a message with the location to local authorities. The system is intended to automatically detect drunk driving and alert authorities in order to improve road safety.
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...Arvind Srivastava
The Ultrasonic Automatic Braking System in cars is a safety measure which can be implemented to apply the brakes suddenly in case of collision. Accelerator disengagement mechanism uses a servo motor and an additional link which shuts down the throttle valve to disengage accelerator and then the brakes.
IRJET- Implementation of Smart Black Box System for Gathering the Safety Info...IRJET Journal
1) The document presents a smart black box system that collects safety information like a vehicle's location, temperature, and obstacles during an accident to help investigations.
2) The system uses sensors to record this information in real-time and stores it, then sends the data to authorities via email if an accident occurs to help determine what happened.
3) The goal is to reduce accidents and response times by monitoring vehicle conditions and automatically notifying emergency services with the vehicle's location if an accident is detected.
Heart attack and alcohol detection sensor using internet of thingsEditorIJAERD
—In this system we tend to implement a heart-beat observation and heart failure detection system victimization
using the Internet of things. Recently we have got enlarged range of heart diseases as well as enlarged risk of heart
attacks. The detector is then interfaced to a microcontroller that enables checking pulse rate readings and transmittal
them over web. The user might set the high likewise as low levels of heart beat limit. Once setting these limits, the system
starts observation as shortly as patient heart beat goes on top of an explicit limit, the system sends response to the
controller that then transmits this over the net and alerts the doctors likewise as involved. This technique is employed to
watch heartbeat rate of the motive force perpetually and prevents from the accidents by dominant through IOT. IOT
conveys the emergency message to the Owner, auto and therefore the Police. Arduino processor ATmega328 is ready to
handle a lot of functions than standard microcontrollers. This technique is intended for the protection of individuals
sitting within the vehicle.
Traffic Clearance for Emergency Vehicles Using Priority ModeIRJET Journal
This document describes a system to provide priority traffic control for emergency vehicles using a "blue mode." The system uses image processing to detect an ambulance 1 km from an intersection. If detected, a signal is sent to switch the traffic lights from normal mode to blue mode for 30 seconds. In normal mode, IR sensors monitor traffic density and extend green lights accordingly. The goal is to help ambulances reach the hospital more quickly in an automated way. Future enhancements could include additional cameras at intersections and using more advanced technologies like XBee or GSM for wireless communication over longer distances.
Traffic and Admission Clearance for Patient on Ambulance journal ijrtem
This document describes a system to clear traffic and facilitate hospital admission for ambulance patients. It uses RFID and IoT technologies. An RFID card on the ambulance communicates with traffic lights to turn them green. An Android app alerts nearby hospitals of incoming patients for admission clearance. This allows ambulances to bypass traffic and patients to select a hospital, reducing delays. The system was tested using NodeMCU, RFID readers, LED lights and an MQTT server for communication. It provides live-saving benefits and could integrate real hospital locations and routing information in the future.
Accident Alert System using Advance Microcontrollerijtsrd
In India most of the accidents are happening due to vehicles over speeding. Sometimes if obstacle is close to the vehicle then they won't be able to judge the distance to apply instant brakes and accident is occurred. To avoid accident due to over speeding, obstacle detection using ultrasonic sensors is used. In this project ultrasonic sensor is used for 360degree detection of obstacle. If obstacle is in front of the vehicle less than safety distance, automatically brakes will be applied or if vehicle comes from backside of the vehicle and is at less than safety distance then the warning light is shown to vehicle. Sometimes if vehicle is coming very close to our vehicle just before hit the vehicle the airbags are open. Rahul Bhatade | Pratiksha Gawai | Prof. Sandip Zade ""Accident Alert System using Advance Microcontroller"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30105.pdf
Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30105/accident-alert-system-using-advance-microcontroller/rahul-bhatade
Anti-Smog Radar Application for VehiclesIJMREMJournal
Smog is regarded as a dangerous situation for vehicles as the visibility of human fails and a person cannot
drive smoothly and safely which can lead to severe accidents and routine disturbances. Hence, “Anti-Smog
Radar Application for Vehicles” is proposed using Internet of Things technology which ensures the smooth flow
of vehicles in smog and prevents accidents in time and cost-efficient manner by detecting and displaying the
front objects with their important information (distance, position, velocity and size) on smart phone used by
authenticated drivers. The radar application controls the hardware system to be deployed on vehicles through
which the user can start, stop and set the hardware in particular direction. The hardware contains NodeMcu
(Microcontroller with built-in Wi-Fi), Ultrasonic sensor and servo motor. The servo is used to detect the
position of front objects and ultrasonic sensor is clipped on servo to detect the objects. For alerts, the objects
are drawn with different colors on application i.e. the red colored objects will be near to the vehicle, the yellow
colored objects will be at some distance from the vehicle and the green colored objects will be far from the
vehicle. Kalman algorithm is used to filter the ultrasonic readings to eliminate the noise. The proposed system
can work in every condition i.e. in day and night.
SENSPEED: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Envir...IRJET Journal
This document proposes SenSpeed, a system that uses smartphone sensors to accurately estimate vehicle speed in urban environments without requiring additional hardware. It does this by sensing natural driving conditions like turns, stops, and uneven road surfaces to identify reference points where the true speed is known. It then measures the acceleration error between reference points and uses this to correct estimated speeds over time. The system architecture first aligns sensor readings, estimates raw speeds by integrating accelerometer data, senses reference points, measures acceleration errors, and corrects speeds to provide accurate estimations. It was shown to work well in real driving tests.
This document proposes an automatic control system for unmanned railway gates using sensors to reduce accidents. The objectives are to decrease costs by automating gates and reducing accidents through automatic closure when trains approach. The methodology uses infrared sensors to detect approaching trains and microcontrollers to signal gate motors. When a train is sensed, the system checks for vehicles near the gate before closing it, and reopens the gate once the train passes. This system could automate gates at road-rail crossings in Pakistan to improve safety.
Automatic fire prevteing system in train and busesVasu Manikandan
This document summarizes a research paper that proposes a system using a ZigBee wireless sensor network to detect and control fire accidents on running trains. The system would monitor temperature and humidity in each train coach in real-time. If a fire is detected, the system would send an alarm signal to alert passengers and the engine driver. It would also automatically activate the train's braking system and a water sprinkler system to extinguish the fire. The proposed network uses low-power ZigBee sensors to monitor coaches and transmit signals to control fire alarms, train braking, and water sprinklers, providing a way to quickly detect and respond to fires on moving trains.
IRJET- Accident Detection and Alerting SystemIRJET Journal
This document describes an accident detection and alerting system that uses sensors to detect vehicle accidents and sends alerts via SMS. The system uses an Arduino microcontroller connected to an accelerometer sensor to detect accidents based on vibrations. When an accident is detected, the Arduino reads location coordinates from an attached GPS receiver and sends an SMS with the coordinates and a Google Maps link to emergency contacts. This is intended to quickly notify authorities and help is sent to any victims. The system provides real-time accident detection and alerting to improve emergency response times.
Drunken drive detection with smart ignition lockjournalBEEI
Drink and drive issue have become solemnly that needs immediate attention. This is due to drivers’ ignorance towards road rules and regulations and their selfish attitude that caused loss of innocent lives. Although previously there is a drunk detecting mechanism using breathalyzer but it isn’t suitable for current fast-paced lifestyle. Therefore, to overcome these issues, this system is proposed. This system is fixed on vehicle’s steering to measure alcohol concentration reading using MQ-3 sensor from the driver’s exhaled breath. If the driver found to be drunk beyond the threshold level of 400 ppm, then ignition lock is activated and the car engine does not start till alcohol concentration falls to a safe level. Or, if the driver consumes an alcoholic drink while driving, upon exceeding permissible limit, the car slows down till it stops. Then, the location of the vehicle is tracked and sent as Google Map integrated link via text message to authorized unit. Simultaneously, the car buzzer goes off while the car slows down so that surrounding road users are aware of the driver’s condition and drives at a distance. The proposed detection system is highly potential to be implemented for reducing the drunk and drive accidents.
Fire accidents are very dangerous and cause harm to human life and property. If these types of accidents occur in some public transport, then it’s a matter of concern. In the recent times we have seen a lot of accidents occurring in trains, and a major part of it is due to fire accidents in the compartments. This fire is not confined to just one compartment. In case the train is moving then there are chances of the fire spreading to other compartments too. To avoid such incidents, there are different methods that are in use. Most of the present day systems use detectors in the compartments to detect any fire accidents. In case of any such occurrences, the information is passed on to the driver, so that he can take necessary decision. Hence we propose a system wherein we incorporate wireless sensors and WPAN to carry out similar operations. We have also designed some extra features which cater to the safety of the passengers. At the end we are sure to get a more reliable system which also has advanced safety features incorporated in it.
IRJET- A Smart Car: Synergetic Combination of Low Cost Multiple Sensors f...IRJET Journal
The document proposes a smart car system that uses multiple low-cost sensors to prevent accidents and increase safety. The system monitors oxygen levels in the car, detects alcohol consumption by the driver, and controls the car's speed. It uses sensors to detect oxygen levels and alcohol consumption, which are connected to an Arduino processor. The processor can lock the car, shut off the engine if alcohol is detected, and send alerts to the car's owner. It also controls speed using infrared sensors to measure the car's speed and ensure it does not exceed limits, helping authorities monitor traffic and prevent accidents caused by speeding. The system aims to address common causes of accidents by integrating physical and physiological sensors into cars.
This document summarizes a student project to develop an ultrasonic sensor-based system to prevent vehicle collisions. A group of 4 students are working on the project under the guidance of Ms. E. Swetha and Mrs. Swapna Kumari. B. The system uses ultrasonic sensors to detect obstacles and automatically activates the emergency braking system. When an obstacle is detected, ultrasonic waves are reflected back and received by a receiver. This triggers the braking circuit to apply maximum brakes to stop the vehicle and prevent an accident. The goal is to develop a safety system that can brake a car automatically based on sensor input to reduce accidents caused by delayed braking.
The document describes a study that used Faster R-CNN, a deep learning approach, to detect road objects like vehicles, pedestrians, and traffic signs in Bangladesh. The researchers collected images to train a neural network to identify 19 object classes. Their model achieved 86.42% accuracy and was able to detect objects in various lighting and traffic conditions, though it struggled when objects were extremely close together. The study aims to help analyze traffic and potentially assist autonomous vehicles in Bangladesh.
IRJET- A Review on Accident Prevention Methods at Railway Line CrossingsIRJET Journal
This document reviews various accident prevention methods that have been proposed for railway line crossings. It summarizes several existing systems that use technologies like sensors, GPS, image processing and more to detect trains and automatically open and close gates. However, many of these systems have limitations in noisy or harsh environments. The document concludes that while previous methods focused on gate automation, there remains a need for a system that can reliably detect an approaching train and warn humans in noisy conditions, such as when wearing headphones, to help prevent accidents caused by people not noticing trains.
Design and Fabrication of Automatic Speed Controller for Automobileijtsrd
This project demonstrates idea of accident prevent in hill area and other danger area. In this system we use a transmitter antenna that placed on critical region and it send it particular frequency of speed in certain region. If any vehicle receive this frequency of speed and speed of vehicle automatically set on particular speed of that place. This is very efficient and power full idea. This idea comes in my mind for saving of Fuel energy and provide perfect controlling of vehicle driver. This system provides automatic speed control in hazard region. In this project we demonstrate the idea of advance accident avoiding vehicle system. In this project we make a vehicle that control by advance technology. And we interface the RF with the help of encoder and decoder IC that sense hazard field and distance. According to distance it take an appropriate decision and according to condition it automatically control the speed of vehicle and it sense the critical condition of distance and it stop. My idea is very special idea for accident prevention because it sense the condition of obstacle and it weep the buzzer and intimation. Dr. Pikesh Bansal | Abhinav Srivastava | Aadil Zaya | Bhuvnesh Sharma | Anuj Upadhyay ""Design and Fabrication of Automatic Speed Controller for Automobile"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23846.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23846/design-and-fabrication-of-automatic-speed-controller-for-automobile/dr-pikesh-bansal
The document provides an overview of alcohol interlock technology, including how the devices work, installation, sensor types, accuracy standards, features, tampering prevention, and future advances. It explains that alcohol interlocks prevent vehicle startup if breath alcohol is above a preset limit, and require subsequent retests while driving to ensure sobriety. The technology is designed to be highly accurate while resistant to circumvention or environmental factors.
DESIGN AND VALIDATION OF SAFETY CRUISE CONTROL SYSTEM FOR AUTOMOBILESIJCSEA Journal
In light of the recent humongous growth of the human population worldwide, there has also been a voluminous and uncontrolled growth of vehicles, which has consequently increased the number of road accidents to a large extent. In lieu of a solution to the above mentioned issue, our system is an attempt to mitigate the same using synchronous programming language. The aim is to develop a safety crash warning system that will address the rear end crashes and also take over the controlling of the vehicle when the threat is at a very high level. Adapting according to the environmental conditions is also a prominent feature of the system. Safety System provides warnings to drivers to assist in avoiding rear-end crashes with other vehicles. Initially the system provides a low level alarm and as the severity of the threat increases the level of warnings or alerts also rises. At the highest level of threat, the system enters in a Cruise Control Mode, wherein the system controls the speed of the vehicle by controlling the engine throttle and if permitted, the brake system of the vehicle. We focus on this crash area as it has a very high percentage of the crash-related fatalities. To prove the feasibility, robustness and reliability of the system, we have also proved some of the properties of the system using temporal logic along with a reference implementation in ESTEREL. To bolster the same, we have formally verified various properties of the system along with their proofs.
IRJET - Traffic Signal Automation using Spike Road BlockIRJET Journal
This document describes a system to automate traffic signals and road blockers using spikes on the road. The system uses sensors to detect vehicle speed and traffic density. It then dynamically controls the timing of traffic signals based on this sensor data. When the signal is red, a barrier gate closes and spikes emerge on the road to block traffic and enforce the signal. The system is intended to reduce traffic violations and minimize accidents. It collects sensor data, retrieves nearby police locations from a database, and can generate alerts if needed. The system aims to help control traffic flow and reduce congestion problems.
This document describes a driver monitoring system that uses various sensors and cameras to continuously monitor the driver and provide alerts if suspicious activity is detected, such as speeding, alcohol consumption, fatigue, etc. The goals are to track driving patterns, generate reports, and help reduce accidents caused by reckless driving. It discusses implementing such a system for truck and bus drivers, as the Maharashtra State Road Transport Corporation is facing significant losses from vehicle maintenance costs due to careless driving. The proposed system would use sensors to monitor speed, driving patterns, and other metrics, and alert the driver or vehicle owner if thresholds are exceeded. It would analyze the collected data to identify risky drivers and report them to transportation authorities.
Abstract Traffic congestion on city road networks is one of the main issues to be addressed by today’s traffic management schemes. The frequent traffic jams at major junctions call for an efficient traffic management system in place. The image sequences from a camera are analyzed using edge detection technique, object counting method and queue length estimation to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The paper also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others. Using image-processing operations to calculate traffic density is cost effective as cameras are cheaper and affordable devices compared to any other devices such as sensors. Keywords: Edge detection, Object counting, vehicle queue length, traffic management, image processing.
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...IRJET Journal
This document describes developing a distance algorithm for adaptive cruise control systems using vehicle-to-vehicle communication and sensor networks. It involves three modes: 1) cruise control, 2) adaptive cruise control where the rear vehicle automatically adjusts its speed based on the distance to the preceding vehicle, and 3) cooperative adaptive cruise control where the rear vehicle adjusts its speed and communicates with the preceding vehicle. Ultrasonic sensors measure the distance between vehicles and different distance limits are set for the modes. The system is intended to increase road safety and efficiency by enabling vehicles to automatically control speed based on surrounding traffic conditions.
TCP/IP Protocol Based Adaptive Cruise Control using Raspberry PiIRJET Journal
This document describes a proposed system for adaptive cruise control using sensors and two Raspberry Pi boards connected via TCP/IP protocol. The system consists of a slave Raspberry Pi board that detects various vehicle and road parameters using sensors like ultrasonic sensors for distance, humidity sensors for weather, accelerometers for slope detection, etc. The slave board sends the sensor data to a master Raspberry Pi board over TCP/IP. The master board controls the speed of a DC motor based on whether the sensor values are within predefined thresholds. If values exceed thresholds, the motor speed is adjusted. The system aims to automatically control vehicle speed based on road and traffic conditions to improve safety.
Traffic Clearance for Emergency Vehicles Using Priority ModeIRJET Journal
This document describes a system to provide priority traffic control for emergency vehicles using a "blue mode." The system uses image processing to detect an ambulance 1 km from an intersection. If detected, a signal is sent to switch the traffic lights from normal mode to blue mode for 30 seconds. In normal mode, IR sensors monitor traffic density and extend green lights accordingly. The goal is to help ambulances reach the hospital more quickly in an automated way. Future enhancements could include additional cameras at intersections and using more advanced technologies like XBee or GSM for wireless communication over longer distances.
Traffic and Admission Clearance for Patient on Ambulance journal ijrtem
This document describes a system to clear traffic and facilitate hospital admission for ambulance patients. It uses RFID and IoT technologies. An RFID card on the ambulance communicates with traffic lights to turn them green. An Android app alerts nearby hospitals of incoming patients for admission clearance. This allows ambulances to bypass traffic and patients to select a hospital, reducing delays. The system was tested using NodeMCU, RFID readers, LED lights and an MQTT server for communication. It provides live-saving benefits and could integrate real hospital locations and routing information in the future.
Accident Alert System using Advance Microcontrollerijtsrd
In India most of the accidents are happening due to vehicles over speeding. Sometimes if obstacle is close to the vehicle then they won't be able to judge the distance to apply instant brakes and accident is occurred. To avoid accident due to over speeding, obstacle detection using ultrasonic sensors is used. In this project ultrasonic sensor is used for 360degree detection of obstacle. If obstacle is in front of the vehicle less than safety distance, automatically brakes will be applied or if vehicle comes from backside of the vehicle and is at less than safety distance then the warning light is shown to vehicle. Sometimes if vehicle is coming very close to our vehicle just before hit the vehicle the airbags are open. Rahul Bhatade | Pratiksha Gawai | Prof. Sandip Zade ""Accident Alert System using Advance Microcontroller"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30105.pdf
Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30105/accident-alert-system-using-advance-microcontroller/rahul-bhatade
Anti-Smog Radar Application for VehiclesIJMREMJournal
Smog is regarded as a dangerous situation for vehicles as the visibility of human fails and a person cannot
drive smoothly and safely which can lead to severe accidents and routine disturbances. Hence, “Anti-Smog
Radar Application for Vehicles” is proposed using Internet of Things technology which ensures the smooth flow
of vehicles in smog and prevents accidents in time and cost-efficient manner by detecting and displaying the
front objects with their important information (distance, position, velocity and size) on smart phone used by
authenticated drivers. The radar application controls the hardware system to be deployed on vehicles through
which the user can start, stop and set the hardware in particular direction. The hardware contains NodeMcu
(Microcontroller with built-in Wi-Fi), Ultrasonic sensor and servo motor. The servo is used to detect the
position of front objects and ultrasonic sensor is clipped on servo to detect the objects. For alerts, the objects
are drawn with different colors on application i.e. the red colored objects will be near to the vehicle, the yellow
colored objects will be at some distance from the vehicle and the green colored objects will be far from the
vehicle. Kalman algorithm is used to filter the ultrasonic readings to eliminate the noise. The proposed system
can work in every condition i.e. in day and night.
SENSPEED: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Envir...IRJET Journal
This document proposes SenSpeed, a system that uses smartphone sensors to accurately estimate vehicle speed in urban environments without requiring additional hardware. It does this by sensing natural driving conditions like turns, stops, and uneven road surfaces to identify reference points where the true speed is known. It then measures the acceleration error between reference points and uses this to correct estimated speeds over time. The system architecture first aligns sensor readings, estimates raw speeds by integrating accelerometer data, senses reference points, measures acceleration errors, and corrects speeds to provide accurate estimations. It was shown to work well in real driving tests.
This document proposes an automatic control system for unmanned railway gates using sensors to reduce accidents. The objectives are to decrease costs by automating gates and reducing accidents through automatic closure when trains approach. The methodology uses infrared sensors to detect approaching trains and microcontrollers to signal gate motors. When a train is sensed, the system checks for vehicles near the gate before closing it, and reopens the gate once the train passes. This system could automate gates at road-rail crossings in Pakistan to improve safety.
Automatic fire prevteing system in train and busesVasu Manikandan
This document summarizes a research paper that proposes a system using a ZigBee wireless sensor network to detect and control fire accidents on running trains. The system would monitor temperature and humidity in each train coach in real-time. If a fire is detected, the system would send an alarm signal to alert passengers and the engine driver. It would also automatically activate the train's braking system and a water sprinkler system to extinguish the fire. The proposed network uses low-power ZigBee sensors to monitor coaches and transmit signals to control fire alarms, train braking, and water sprinklers, providing a way to quickly detect and respond to fires on moving trains.
IRJET- Accident Detection and Alerting SystemIRJET Journal
This document describes an accident detection and alerting system that uses sensors to detect vehicle accidents and sends alerts via SMS. The system uses an Arduino microcontroller connected to an accelerometer sensor to detect accidents based on vibrations. When an accident is detected, the Arduino reads location coordinates from an attached GPS receiver and sends an SMS with the coordinates and a Google Maps link to emergency contacts. This is intended to quickly notify authorities and help is sent to any victims. The system provides real-time accident detection and alerting to improve emergency response times.
Drunken drive detection with smart ignition lockjournalBEEI
Drink and drive issue have become solemnly that needs immediate attention. This is due to drivers’ ignorance towards road rules and regulations and their selfish attitude that caused loss of innocent lives. Although previously there is a drunk detecting mechanism using breathalyzer but it isn’t suitable for current fast-paced lifestyle. Therefore, to overcome these issues, this system is proposed. This system is fixed on vehicle’s steering to measure alcohol concentration reading using MQ-3 sensor from the driver’s exhaled breath. If the driver found to be drunk beyond the threshold level of 400 ppm, then ignition lock is activated and the car engine does not start till alcohol concentration falls to a safe level. Or, if the driver consumes an alcoholic drink while driving, upon exceeding permissible limit, the car slows down till it stops. Then, the location of the vehicle is tracked and sent as Google Map integrated link via text message to authorized unit. Simultaneously, the car buzzer goes off while the car slows down so that surrounding road users are aware of the driver’s condition and drives at a distance. The proposed detection system is highly potential to be implemented for reducing the drunk and drive accidents.
Fire accidents are very dangerous and cause harm to human life and property. If these types of accidents occur in some public transport, then it’s a matter of concern. In the recent times we have seen a lot of accidents occurring in trains, and a major part of it is due to fire accidents in the compartments. This fire is not confined to just one compartment. In case the train is moving then there are chances of the fire spreading to other compartments too. To avoid such incidents, there are different methods that are in use. Most of the present day systems use detectors in the compartments to detect any fire accidents. In case of any such occurrences, the information is passed on to the driver, so that he can take necessary decision. Hence we propose a system wherein we incorporate wireless sensors and WPAN to carry out similar operations. We have also designed some extra features which cater to the safety of the passengers. At the end we are sure to get a more reliable system which also has advanced safety features incorporated in it.
IRJET- A Smart Car: Synergetic Combination of Low Cost Multiple Sensors f...IRJET Journal
The document proposes a smart car system that uses multiple low-cost sensors to prevent accidents and increase safety. The system monitors oxygen levels in the car, detects alcohol consumption by the driver, and controls the car's speed. It uses sensors to detect oxygen levels and alcohol consumption, which are connected to an Arduino processor. The processor can lock the car, shut off the engine if alcohol is detected, and send alerts to the car's owner. It also controls speed using infrared sensors to measure the car's speed and ensure it does not exceed limits, helping authorities monitor traffic and prevent accidents caused by speeding. The system aims to address common causes of accidents by integrating physical and physiological sensors into cars.
This document summarizes a student project to develop an ultrasonic sensor-based system to prevent vehicle collisions. A group of 4 students are working on the project under the guidance of Ms. E. Swetha and Mrs. Swapna Kumari. B. The system uses ultrasonic sensors to detect obstacles and automatically activates the emergency braking system. When an obstacle is detected, ultrasonic waves are reflected back and received by a receiver. This triggers the braking circuit to apply maximum brakes to stop the vehicle and prevent an accident. The goal is to develop a safety system that can brake a car automatically based on sensor input to reduce accidents caused by delayed braking.
The document describes a study that used Faster R-CNN, a deep learning approach, to detect road objects like vehicles, pedestrians, and traffic signs in Bangladesh. The researchers collected images to train a neural network to identify 19 object classes. Their model achieved 86.42% accuracy and was able to detect objects in various lighting and traffic conditions, though it struggled when objects were extremely close together. The study aims to help analyze traffic and potentially assist autonomous vehicles in Bangladesh.
IRJET- A Review on Accident Prevention Methods at Railway Line CrossingsIRJET Journal
This document reviews various accident prevention methods that have been proposed for railway line crossings. It summarizes several existing systems that use technologies like sensors, GPS, image processing and more to detect trains and automatically open and close gates. However, many of these systems have limitations in noisy or harsh environments. The document concludes that while previous methods focused on gate automation, there remains a need for a system that can reliably detect an approaching train and warn humans in noisy conditions, such as when wearing headphones, to help prevent accidents caused by people not noticing trains.
Design and Fabrication of Automatic Speed Controller for Automobileijtsrd
This project demonstrates idea of accident prevent in hill area and other danger area. In this system we use a transmitter antenna that placed on critical region and it send it particular frequency of speed in certain region. If any vehicle receive this frequency of speed and speed of vehicle automatically set on particular speed of that place. This is very efficient and power full idea. This idea comes in my mind for saving of Fuel energy and provide perfect controlling of vehicle driver. This system provides automatic speed control in hazard region. In this project we demonstrate the idea of advance accident avoiding vehicle system. In this project we make a vehicle that control by advance technology. And we interface the RF with the help of encoder and decoder IC that sense hazard field and distance. According to distance it take an appropriate decision and according to condition it automatically control the speed of vehicle and it sense the critical condition of distance and it stop. My idea is very special idea for accident prevention because it sense the condition of obstacle and it weep the buzzer and intimation. Dr. Pikesh Bansal | Abhinav Srivastava | Aadil Zaya | Bhuvnesh Sharma | Anuj Upadhyay ""Design and Fabrication of Automatic Speed Controller for Automobile"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23846.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23846/design-and-fabrication-of-automatic-speed-controller-for-automobile/dr-pikesh-bansal
The document provides an overview of alcohol interlock technology, including how the devices work, installation, sensor types, accuracy standards, features, tampering prevention, and future advances. It explains that alcohol interlocks prevent vehicle startup if breath alcohol is above a preset limit, and require subsequent retests while driving to ensure sobriety. The technology is designed to be highly accurate while resistant to circumvention or environmental factors.
DESIGN AND VALIDATION OF SAFETY CRUISE CONTROL SYSTEM FOR AUTOMOBILESIJCSEA Journal
In light of the recent humongous growth of the human population worldwide, there has also been a voluminous and uncontrolled growth of vehicles, which has consequently increased the number of road accidents to a large extent. In lieu of a solution to the above mentioned issue, our system is an attempt to mitigate the same using synchronous programming language. The aim is to develop a safety crash warning system that will address the rear end crashes and also take over the controlling of the vehicle when the threat is at a very high level. Adapting according to the environmental conditions is also a prominent feature of the system. Safety System provides warnings to drivers to assist in avoiding rear-end crashes with other vehicles. Initially the system provides a low level alarm and as the severity of the threat increases the level of warnings or alerts also rises. At the highest level of threat, the system enters in a Cruise Control Mode, wherein the system controls the speed of the vehicle by controlling the engine throttle and if permitted, the brake system of the vehicle. We focus on this crash area as it has a very high percentage of the crash-related fatalities. To prove the feasibility, robustness and reliability of the system, we have also proved some of the properties of the system using temporal logic along with a reference implementation in ESTEREL. To bolster the same, we have formally verified various properties of the system along with their proofs.
IRJET - Traffic Signal Automation using Spike Road BlockIRJET Journal
This document describes a system to automate traffic signals and road blockers using spikes on the road. The system uses sensors to detect vehicle speed and traffic density. It then dynamically controls the timing of traffic signals based on this sensor data. When the signal is red, a barrier gate closes and spikes emerge on the road to block traffic and enforce the signal. The system is intended to reduce traffic violations and minimize accidents. It collects sensor data, retrieves nearby police locations from a database, and can generate alerts if needed. The system aims to help control traffic flow and reduce congestion problems.
This document describes a driver monitoring system that uses various sensors and cameras to continuously monitor the driver and provide alerts if suspicious activity is detected, such as speeding, alcohol consumption, fatigue, etc. The goals are to track driving patterns, generate reports, and help reduce accidents caused by reckless driving. It discusses implementing such a system for truck and bus drivers, as the Maharashtra State Road Transport Corporation is facing significant losses from vehicle maintenance costs due to careless driving. The proposed system would use sensors to monitor speed, driving patterns, and other metrics, and alert the driver or vehicle owner if thresholds are exceeded. It would analyze the collected data to identify risky drivers and report them to transportation authorities.
Abstract Traffic congestion on city road networks is one of the main issues to be addressed by today’s traffic management schemes. The frequent traffic jams at major junctions call for an efficient traffic management system in place. The image sequences from a camera are analyzed using edge detection technique, object counting method and queue length estimation to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The paper also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others. Using image-processing operations to calculate traffic density is cost effective as cameras are cheaper and affordable devices compared to any other devices such as sensors. Keywords: Edge detection, Object counting, vehicle queue length, traffic management, image processing.
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...IRJET Journal
This document describes developing a distance algorithm for adaptive cruise control systems using vehicle-to-vehicle communication and sensor networks. It involves three modes: 1) cruise control, 2) adaptive cruise control where the rear vehicle automatically adjusts its speed based on the distance to the preceding vehicle, and 3) cooperative adaptive cruise control where the rear vehicle adjusts its speed and communicates with the preceding vehicle. Ultrasonic sensors measure the distance between vehicles and different distance limits are set for the modes. The system is intended to increase road safety and efficiency by enabling vehicles to automatically control speed based on surrounding traffic conditions.
TCP/IP Protocol Based Adaptive Cruise Control using Raspberry PiIRJET Journal
This document describes a proposed system for adaptive cruise control using sensors and two Raspberry Pi boards connected via TCP/IP protocol. The system consists of a slave Raspberry Pi board that detects various vehicle and road parameters using sensors like ultrasonic sensors for distance, humidity sensors for weather, accelerometers for slope detection, etc. The slave board sends the sensor data to a master Raspberry Pi board over TCP/IP. The master board controls the speed of a DC motor based on whether the sensor values are within predefined thresholds. If values exceed thresholds, the motor speed is adjusted. The system aims to automatically control vehicle speed based on road and traffic conditions to improve safety.
This document describes a smart brake system that uses ultrasonic sensors and pneumatic brakes for automatic braking. The system detects obstacles using ultrasonic sensors and activates compressed air brakes via a flow control valve if the vehicle gets too close. The system aims to increase safety by automatically applying the brakes if the driver is unable to respond in time. It discusses the components, design methodology, advantages and limitations. Future work could involve adding speed control and integrating the system into four-wheel vehicles for even greater safety benefits.
Design of Secured Ground Vehicle Event Data Recorder for Data AnalysisIJERA Editor
The Event Data Recorder (EDR) is now one of the important components installed in the vehicles by the automakers since it is helping in calculating an independent measurement of crash severity which is far better than the traditional systems used. There is limited research is done on the domain. In this paper we are going to propose an EDR which is based on ARM controller and will sense the alcohol, brake pressed, Speed, Location, Humidity, and Temperature. The data collected from the sensors is aggregated using a threshold-based technique, then the data is encrypted using RC6 and finally, the data is mined for knowledge using top k rules
IRJET- Automatic Vehicle Accident Detection and Rescue SystemIRJET Journal
This document describes an automatic vehicle accident detection and rescue system that uses IoT technology. The system uses impact and ultrasonic sensors to detect if an accident occurs. If an accident is detected, the Arduino microcontroller sends the vehicle's location data from the GPS module and alerts the vehicle owner, nearest hospital, and police station through text messages sent via a GSM modem. The goal is to detect accidents quickly and send location information to emergency responders to reduce loss of life. The system aims to automatically detect accidents and communicate location information faster than existing systems to improve emergency response times.
Smart vehicle and smart signboard system with zonal speed regulationIAEME Publication
To control the accident highway department have placed the signboards. Increasing number of accidents at busy junctions are a major threat faced by today’s world. Nowadays people are driving very fast; we lost our valuable life by making small mistake while driving (school zone, hills area, and highways). Most of accidents are occur due to two wheelers Speed control is required at busy junctions.
A low-cost and simple distributed sensors model that is particularly suitable for measuring eye blink of the driver, accident and hand position on a steering wheel. These sensors can be used in automotive active safety systems that aim at detecting driver’s fatigue, a major issue to prevent road accidents. The key point of this approach is to design a prototype of sensor units, so that it can serve as platform for integrating different kinds of sensors into the steering wheel. Since the sensors are attached to the steering wheel, therefore they can’t be detached by the driver. It will also detect dangerous stylish driving which may lead to fatal accidents. The major drawback is that the eye blink sensors frame worn by the driver can be removed causing the sensor non-operational. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver shuts his eyes for approximately 3 seconds and also the LCD displays the respective warning message. The wheel is slowed or stopped depending on the condition. This is accompanied by the vehicle’s owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and a list of nearby police stations through an android mobile application. Therefore, driver can be alerted during drowsiness and the owner can be notified simultaneously.
IRJET - Construction of "One Belt and One Road" Intelligent Analysis SystemIRJET Journal
This document describes a proposed intelligent system for controlling vehicles on the "One Belt One Road" initiative using sensors. The system aims to improve road safety and enforce traffic rules. It would use a galvanic skin response sensor to monitor drivers for health issues, control vehicle speed in different zones, control horn use in prohibited areas, and prevent parking in restricted places. The system architecture includes an RF transmitter on traffic signals that communicates with an RF receiver and microcontroller in each vehicle. The goal is to address common causes of accidents like ignoring traffic signals and rules through automated vehicle monitoring and control.
IRJET- Automatic Pneumatic Bumper Shock Absorber and Breaking SystemIRJET Journal
1. The document describes an automatic pneumatic bumper shock absorber and breaking system designed to improve vehicle safety.
2. The system uses an ultrasonic sensor to detect obstacles within 1.5 meters of the vehicle. If an obstacle is detected, the sensor sends a signal to activate the pneumatic bumper and automatically apply the brakes to slow the vehicle.
3. The pneumatic bumper is designed to retract and extend via a pneumatic cylinder to absorb impact forces and reduce damage in the event of a collision. The system is intended to improve response time during braking and control vehicle speed to reduce accident risks.
This document describes a proposed disaster notification system that uses sensors and wireless networks to automatically notify emergency services when a car accident occurs. The system would detect accidents using an impact sensor and prevent drunk driving using an alcohol sensor. It would use GPS to get location and convert coordinates to an address to send to emergency responders. This would allow for faster emergency response when victims cannot call for help, improving survival rates. The system would also notify family members and integrate with a vehicle display map and notifications. It aims to address the problems of traffic accidents and drunk driving in Taiwan.
IRJET- Intelligence Transportation System based on IoTIRJET Journal
This document describes an intelligent transportation system that detects vehicle accidents and notifies emergency services. It uses sensors in vehicles to detect accidents and send location information via GSM to ambulances and a server. An Android app allows ambulance drivers to control traffic lights to pass through more efficiently on their way to the accident site. Temperature sensors update patient condition to a hospital webpage. The system aims to reduce emergency response times, which can save lives when injuries occur in accidents. It presents the system architecture and algorithm for automatic accident detection and notification to provide faster emergency assistance.
Advance automatic breaking system for vehicleIRJET Journal
This document describes an automatic vehicle braking system that uses ultrasonic sensors to detect obstacles in front of a vehicle and automatically apply the brakes. The system includes ultrasonic transmitters that emit sound waves and receivers that detect reflected waves to determine the distance to obstacles. A microcontroller analyzes the sensor data and controls a servo motor that pushes the brake pedal if an obstacle is detected within a certain distance. The system is intended to automatically brake the vehicle for safety purposes by reducing delays in braking. It provides an overview of the hardware components, including ultrasonic sensors, a display, and an emergency braking system to apply maximum braking pressure if needed to avoid a collision.
IRJET- Accident Detection and Monitoring System using IoTIRJET Journal
This document describes an accident detection and monitoring system using IoT. The system uses sensors like a vibration sensor, MEMS sensor, heartbeat sensor and gas sensor to detect if an accident has occurred. If an accident is detected, the Arduino mega controller sends an alert message via GSM and GPS to notify emergency services. The GPS location is also sent so emergency services know the exact location of the accident. Additional sensors measure oxygen levels and heartbeat of victims. All sensor data is sent to a server where it can be monitored via a webpage. This system allows for quick emergency response and monitoring of accident victims to help save lives.
Design and Implementation of an Arduino-Based Accident Prevention SystemIRJET Journal
This document proposes a system to prevent vehicle accidents using an Arduino microcontroller. It uses an ultrasonic sensor to detect obstacles and warn of potential collisions. A temperature sensor monitors engine heat to alert the driver if overheating occurs. A speed sensor detects if the vehicle exceeds 50 kmph and notifies the driver. The system aims to reduce accidents by avoiding collisions, preventing engine damage from overheating, and alerting drivers to reduce speed. It was found to accurately sense distances, temperatures, and speeds, and provide warning messages and sounds to drivers as needed.
A Major Project Report On Quot VEHICLE TRACKING SYSTEM USING GPS AND GSM Q...Leonard Goudy
This document is a project report on a vehicle tracking system using GPS and GSM. It was submitted by four students to Rajiv Gandhi Prodyogiki Vishwavidyalaya, Bhopal, India under the guidance of Dr. Dilip Sharma of the Electronics and Communication Engineering department at Ujjain Engineering College. The project involved developing a system that uses a GPS module to track the location of a vehicle and send it via GSM to a predefined number or laptop when activated. The system can also be activated by detecting accidents, fire, or theft. The report includes sections on methodology, requirements, coding, advantages, results, and conclusions.
IRJET- Offline Location Detection and Accident Indication using Mobile SensorsIRJET Journal
This document presents a system for offline location detection and accident indication using mobile sensors. The system utilizes a smartphone's intrinsic sensors (accelerometer) to detect movement and determine if an accident has occurred. If an accident is detected, the location of the smartphone is obtained from satellites and sent via message to emergency contacts along with the location. The system aims to address issues with existing location tracking for accident victims by providing a more accurate location even when the phone is offline. It describes the system architecture, algorithms, and case studies evaluating sensor-based deployment algorithms for increasing coverage in wireless sensor networks. The proposed system could help provide timely assistance in emergency situations.
Light Dimmer with Implementation of Data Abstraction While CrashingIJCERT JOURNAL
The paper proposes a system to automatically dim the headlight of opposite vehicles by changing from high beam to low beam. The system envisioned is automatic collision avoidance and detection. Many methods are available to dim the headlight of vehicles. In the earlier days dip mechanism was used. Similarly there are several mechanisms for automatic accident detection. An automatic alarm gadget for traffic accidents is presented. It can consequently discover a car crash; hunt down the spot and after that send the essential data to hospitals. This system will highly aid the search and rescue of vehicles that have met with an accident.
This document proposes an automatic license issuing system that uses sensors to monitor a driver's behavior during a driving test. The system aims to replace the current manual process of evaluating driving tests. Sensors like force sensors, piezo sensors, MEMS accelerometers, smoke sensors, and an LCD display are mounted on a test vehicle. The sensors collect data on the driver's control of the vehicle and emissions. This data is sent wirelessly via a ZigBee module to a remote server for analysis. The server compares the test data to reference data to evaluate the driver's performance and determine if a license should be issued. The goal is to objectively assess driving ability and prevent illegal or unsafe licenses from being issued.
This project represents a way of developing an
interface to detect driver drowsiness based on continuously
monitoring eyes and DIP algorithms. Micro sleeps that are short
period of sleeps lasting 2 to 3 seconds are good indicator of
fatigue state. Thus by continuously monitoring the eyes of the
driver by using camera one can detect the sleepy state of driver
and timely warning is issued.
Aim of the project is to develop the hardware which is very
advanced product related to driver safety on the roads using
controller and image processing. This product detects driver
drowsiness and gives warning in form of alarm and as well as
decreases the speed of vehicle.Along with the drowsiness
detection process there is continuous monitoring of the distance
done by the Ultrasonic sensor. The ultrasonic sensor detects the
obstacle and accordingly warns the driver as well as decreases
speed of vehicle.
Blind spot detection with automatic steeringeSAT Journals
Abstract Present days, the automotive industry is mainly focusing on the road safety measures. The automobiles have been constantly updating with new sensing technologies to detect blind spots, which can prevent road accidents. Almost 1.32 million people die in road accidents each year. Blind spot of an automobile is the region of the vehicle which cannot be observed properly while looking either through side or rear mirror view. To meet the above requirements, this paper describes detecting blind spot by using ultrasonic sensor and controlling the direction of car by automatic steering. The technology embedded in the system is capable of automatically steer the vehicle away from an obstacle if the system determines that a collision is impending or if the vehicle is in the vicinity of our car. Keywords -- Arduino Mega 2560, Ultrasonic Sensor, L293 Motor IC
Similar to Implementation of Algorithm for Vehicle Anti-Collision Alert System in FPGA (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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Most of these anti-collision systems were controlled by using the microcontroller. However, for an
application or a system which need a very high processing speed, the microcontroller can be replaced by a
higher performance device like FPGA, due to the former’s inability to perform very fast computations since
all of the instructions are executed sequentially inside the microcontrollers [8], [9].
Field programmable gate array (FPGA) is a digital integrated circuit that is designed to perform a
variety of tasks such as combinational functions, or simply logic. It can be configured or reprogrammed by
customers or designer engineers after manufacturing [10]. FPGA hardware design is increasingly popular in
applications like graphic processing [11], digital signal filtering [12], cryptography [13], and also the electric
motor drives [8], [9]. This is owing to its flexibility, very fast computation time with low latency, low power
consumption and its continual improvement of the technology, which make it even better in the future.
The need for a very fast computation is essential for this system because the slower the system
detects a possible collision, the later the driver will react and thus, the effect of collision will be more severe.
For example, if two cars, which are initially 30 m from each other, are moving fast at 100 km/h on a
highway. Then, imagine if the car at the front suddenly slows down to 70 km/h. Within one second, if the
driver of the second car doesn’t apply any braking, he can find himself just 3 m behind the car at the front.
This paper presents the development of an algorithm for the vehicle anti-collision alert system,
which is implemented in FPGA. The proposed system is able to detect a possibility of collision by detecting
the rate of change of distance between two vehicles and thus, triggering the alert. Furthermore, it also capable
of alerting the driver in the case where the safe distance has been breached. The process of detection and
notification is done within a very short time, owing to FPGA hardware ability to perform a very fast
computation. For the system test purpose, an ultrasonic range sensor is utilized in order to detect the distance
between two vehicles.
2. RESEARCH METHOD
2.1. System Architecture
Figure 1 shows the block diagram of the system developed. As can be seen from this figure, it
consists of two main subcomponents: detector and comparator. The detector initiates the detection of the
existence of any objects ahead, whereas the comparator will use the data received from the detector in order
to determine if there are any occurrence of slowing vehicles or static objects ahead, or the safe distance
between two vehicles has been breached.
Figure 1. The block diagram of the proposed vehicle anti-collision alert system
In this research, for testing purpose, the detector deployed the ultrasonic sensor range detection
mechanism. An ultrasonic sensor sends out a sonic burst at 40 KHz and its velocity is the same as the speed
of sound, which is approximately 340 ms-1
. This signal will be reflected back by the object ahead and thus,
the signal traveling time, which is the time interval between the trigger signal is sent and the echo signal is
received, is calculated. Therefore, the distance (in meter) between two objects can be determined by using the
following formula:
distance = travelling time * 340 / 2
In the calculation, the traveling time needs to be divided by 2, since the traveling time includes the
time it took from the ultrasonic sensor to reach the object ahead and also the time the echo signal needed to
reach back at the sensor.
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2.2. Detection and Comparison Process
The states machine in Figure 2 illustrates the detection mechanism which has been operated by the
detector. It consists of five different states: IDLE, INIT, WAIT, RECEIVE, and STOP. In IDLE state, the
machine is waiting for the comparator to be ready to acquire a new comparison first, which is indicated by
the compare_done flag. Next, in INIT state, the detector will send a high-level trigger signal to the
ultrasonic sensor, in order to initiate the sonic burst. This trigger signal is maintained at high level for at least
10 µs. After the WAIT state, the sonic burst should be ready and transmitted. During the RECEIVE state,
there is a counter inside the detector which counts the number of clock cycles between the moment the sonic
burst is transmitted and the time when the sensor receives the echo (when echo flag is becoming low).
However, in the case of the inexistence of any objects ahead, it will directly transit to the STOP state but no
comparison will be performed afterward.
Finally, during the STOP state, the counter value is sent to the comparator together with a cnt_done
flag, indicating that the counting process is completed and the comparison can be commenced. Before
returning back to the IDLE state, the detector will stay in the same state until the end_60ms flag is high,
signaling that the detector has reached its complete measurement cycle, which is set at 60 ms. This
measurement cycle period, which is the time interval between two consecutive trigger signal, had been
recommended by the sensor manufacturer, in order to prevent trigger signal to the echo signal [14].
Figure 2. States machine which represent the detector’s operation
Figure 3 shows the states machine which represents the operations executed by the comparator.
Initially, it remains in the IDLE state until it receives a high-level cnt_done flag, which indicates that the
detection process is done in the detector. Next, in the READ state, the new distance value counted inside the
detector is updated inside the comparator. At this stage, this newly updated value is compared to the distance
value from the previous measurement cycle. At the COMPARE state, it will decide to perform one of the
following actions:
a. If the difference between the new distance value and the previous distance value is significant, then it
will transit to TRIGGER_COLL in order to activate the collision alert
b. If the difference between the new distance value and the previous distance value is small and the
collision alert is currently activated, then it will transmit to UNTRIG_COLL state to deactivate the
collision alert
c. If the new distance value is greater than the safe distance threshold, then it will transmit to the
TRIGGER_PROX state in order to activate the safe distance alert
d. If the new distance value is lesser than the safe distance threshold and the safe distance alert is currently
activated, then it will transit to the UNTRIG_PROX state to deactivate the safe distance alert
e. If none of the above cases, it will directly transit to the WAIT state.
After the WAIT state, it will return back to the IDLE state. At this stage, the comparator sends a
compare_done flag to the detector, in order to indicate the latter that the comparison is completed and it may
now proceed with the new detection.
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Figure 3. States machine which represent the comparator's operation
2.3. Parameters Setting
As the matter of fact, there are several parameters which need to be set for this system. For example,
in the detector, a parameter called MAX_CNT is used to set the maximum count value by the counter;
beyond this value, we can assume that there are no objects or vehicles which exist in front of us. If the
maximum detection is set at d (in meter), the MAX_CNT shall be set equal to 2d / (340 * Tclk), where Tclk is
the period of the clock utilized for the counter. For example, if d = 10 m and Tclk = 20 ns, then:
MAX_CNT = (2*10) / (340 * 20x10-9
) ≈ 2941176.
In the comparator, there are two parameters that need to be determined, which are
SAFE_DISTANCE_THOLD and DIFF_DISTANCE_THOLD. The former is the safe distance threshold for
the counted distance value; if the counted value is lesser than the threshold, it indicates that the safe distance
is breached. While the latter is the minimum difference between the current distance value and the previous
value. If their differences are bigger than the threshold value, then the system will trigger the collision alert.
Both of these parameters can be determined by using the same formula as the MAX_CNT
determination. For example, if the safe distance is fixed at 2 m, then
SAFE_DISTANCE_THOLD = (2*2) / (340 * 20x10-9
) ≈ 588235.
Meanwhile, if the minimum distance count difference is set at 0.5 m every measurement cycle, then
DIFF_DISTANCE_THOLD = (0.5*2) / (340 * 20x10-9
) ≈ 147059
3. RESULTS AND ANALYSIS
The proposed algorithm was successfully implemented on Altera DE0 Development Board, which
equipped with Cyclone III FPGA Device. It had been designed by using Verilog HDL code. Figure 4 shows
the proposed system’s hardware test setup. It can be seen that the designed system in FPGA is connected to
the HC-SR04 ultrasonic sensor via input-output ports. Moreover, a ruler is put at the sensor, in order to easily
fix the distance between the sensor and the obstacle during the test.
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Figure 4. FPGA hardware test setup
For the test in the laboratory purpose, the safe distance threshold is 5 cm while the distance
difference threshold is set to 2 cm. Therefore, SAFE_DISTANCE_THOLD and DIFF_DISTANCE_THOLD
are fixed at 14700 and 5882, respectively. Meanwhile, the maximum detection range is set at 30 cm
(MAX_CNT = 88235).
3.1. Hardware Experimental Results
Figure 5 shows an obstacle, which represents a vehicle in front, is set at a distance of 7 cm from the
sensor. The result of the detection in FPGA is observed in the SignalTap II window, as shown in Figure 6. In
this case, the detector counted a value equal to 20520, which is corresponding to 7 cm, approximately. As can
be seen here, the alert_prox signal remains LOW, as expected since the distance is greater than the safe
distance set.
Figure 5. An obstacle is set at 7 cm from the sensor
Figure 6. Waveforms observed in SignalTap II window when an obstacle is set at 7 cm from the sensor
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Meanwhile, Figure 7 shows that the obstacle had been moved closer to the sensor, within a distance
of 4.5 cm. The counter value produced inside the detector is 13432, which is corresponding to a distance
equal to 4.5 cm, approximately. In this case, since the distance is smaller than the safe distance set, then the
alert_prox signal is set to HIGH, as can be observed in Figure 8.
Figure 7. An obstacle is set at 4.5 cm from the sensor
Figure 8. Waveforms observed in SignalTap II window when an obstacle is set at 4.5 cm from the sensor
Figure 9 shows the results observed in the SignalTap window when the obstacle ahead had been
moved very quickly and thus, its distance from the sensor was drastically changed between two consecutive
measurements. As can be seen from the results shown, the distance was reduced from 9.6 cm (corresponding
to cnt_val =28348) to 6.7 cm (corresponding to cnt_val =19907). It means that the distance between the
obstacle and the sensor was reduced by 2.9 cm within two consecutive measurements. Consequently, the
alert_col signal is set to HIGH in order to trigger the anti-collision alert.
Figure 9. Waveforms observed in SignalTap II window when the distance between the sensor and the
obstacle changed drastically
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In Figure 10, it shows that the system took only 5 clock cycles from the reception of the echo signal
has been completed to the alert_col signal is triggered. Since the 50 MHz clock is used for this test (clock
period is equal to 20 ns), the time taken for this detection is 100 ns.
Figure 10. Waveforms observed in SignalTap II window showing the number of clock cycles it took to
trigger the collision alert
When comparing the performance of the proposed system with the performance of the
microcontroller-based system [7], it clearly shows that the detection of the proposed system is almost 400
time faster than the detection of the latter, which was measured at 40 us. This performance can be
significantly improved if the usage of the ultrasonic sensor is replaced by the laser range detector due to the
greater speed of light, as proposed in [4].
3.2. Design Performance Analysis
Table 1 shows the hardware resources utilization and also the analysis on the timing and power
consumption of the implemented algorithm in FPGA. These data are obtained from the Quartus II
compilation report, while the timing performance and the power dissipation are extracted from the
TimeQuest timing analysis report and PowerPlay Analyzer report, respectively.
Table 1. The overall performance of the implemented system in FPGA
Logic Elements Fmax (MHz) Power Dissipation (mW)
1399 72.4 128.93
Based on the figures in Table 1, the whole system only consumed 1399 from the total 15408 logic
elements which are available in the FPGA used. In terms of the timing performance, the maximum clock
frequency which can be used to operate this system is 72.4 MHz. Thus, the computation time of the proposed
system can be improved by replacing the 50 MHz clock with a faster clock, which frequency is up to the
stated Fmax.
In fact, the power consumption is not the main focus of this paper. However, it can be improved in
the future by implementing several power management techniques such as the clock gating, or by changing
the power-optimized state machine encoding like Gray encoding instead of Binary encoding.
4. CONCLUSION
This paper has presented an implementation of the algorithm for vehicle anti-collision alert system,
which had been successfully implemented in Altera DE0 FPGA Board. The proposed system is capable of
detecting a decelerating or even a static object ahead and thus, alerting a possible collision. Besides, it also
has the ability to remind drivers to keep the distance between two vehicles within a safe range. The
experimental tests were performed by using the targeted FPGA hardware, and the results from these tests had
validated the functionality of the proposed system. Furthermore, the data from the analysis shows that it can
perform a very fast detection while consuming low hardware resources. This result may contribut to
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improving the performance of systems which are considered as time-critical sytems and which require very
high-speed execution and very low computing time.
ACKNOWLEDGEMENTS
The authors wish to acknowledge Universiti Teknikal Malaysia Melaka (UTeM) for the financial
funding under Grant No. PJP/2015/FTK(28D)/S01452 and providing instrumentation devices support for this
project.
REFERENCES
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[2] S. Gothane and M. V. Sarode, "Analyzing Factors, Construction of Dataset, Estimating Importance of Factor, and
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[3] “Human Error Accounts For 90% Of Road Accidents”, [Internet] International News. 2011. Available:
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[4] Kumar A, Jaiswal A, Jaiswal N, Sharma R. Vehicles Anti-collision System. International Journal of Computer
Applications. 2014; 99(19): 7-9.
[5] Triveni Shinde and Prof. B.V. Pawar. “Car Anti-Collision and Intercommunication System using Communication
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25-32, 2013.
[6] Shival Dubey and Abdul Wahid Ansari. “Design and Development of Vehicle anti-collision System using
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[7] Zulkifli AS, Arduino Based Automobile Front Sensor, Universiti Teknikal Malaysia Melaka, 2015.
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[9] M.A. Kacou, F. Ghaffari, O. Romain and B. Condamin, "Influence of high-power electric motor on an FPGA used
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[10] Maxfield C. FPGAs. 1st ed. Amsterdam: Newnes; 2008.
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[12] C. Zhao and Z. Zhang, "Digital filter design and performance analysis of dynamic temperature signal denoise
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[13] G. Werner, S. Farris, A. Kaminsky, M. Kurdziel, M. Lukowiak and S. Radziszowski, "Implementing authenticated
encryption algorithm MK-3 on FPGA", MILCOM 2016 - 2016 IEEE Military Communications Conference,
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[14] Ultrasonic Ranging Module HC - SR04 [Internet]. Available from: http://www.micropik.com/PDF/HCSR04.pdf
BIOGRAPHIES OF AUTHORS
Aiman Zakwan Jidin obtained his MEng in Electronic and Microelectronic System
Engineering from ESIEE Engineering Paris France in 2011. He has 2 years of working
experience in designing digital IC and digital system in FPGA at Altera Corporation Malaysia
(now part of Intel), before joining Universiti Teknikal Malaysia Melaka (UTeM) as lecturer and
researcher, in Electronics and Computer Engineering. His research interests include FPGA
Design and Digital System Design.
9. ISSN:2088-8708
IJECE Vol. 7, No. 2, April 2017 : 775–783
783
Lim Siau Li is currently a final year student of Bachelor of Computer Engineering Technology
(Computer Systems) at Universiti Technical Malaysia Melaka (UTeM), Malaysia. She had
recently completed her final year project on developing the algorithm for the vehicle anti-
collision alert system by using FPGA and Altera Quartus II software. She is currently
undergoing an engineering internship at Intel Microelectronics (M) Sdn. Bhd.
Ahmad Fauzan B. Kadmin has over 13 years of experience in computer & communication
engineering field with technical expert in mobile computing and wireless communication
system. He Graduated with MEng in Computer & communication Engineering from Universiti
Kebangsaan Malaysia. Previously, he worked as an Engineer with Megasteel Sdn. Bhd.,
Samsung SDI(M) Sdn. Bhd. and Agensi Angkasa Negara. Currently attached with UTeM as
lecturer.