This document describes a proposed system called "Ignition Interlocking Seat Belt" that aims to improve vehicle passenger safety by ensuring seat belts are properly worn. The system uses various sensors like load cells and IR temperature sensors to detect a human presence in the vehicle. Additional sensors like reed switches, RFID tags, and IR sensors monitor and track the status of the seat belt. Data from the sensors is sent to a microcontroller which only allows ignition of the engine if the occupant has properly buckled their seat belt. The goal is to utilize seat belts to their full potential and ensure passenger safety.
IRJET- Biometric Vehicle Starter and SecurityIRJET Journal
This document proposes a biometric vehicle security system using fingerprint recognition to prevent unauthorized access. The system would store fingerprint data during enrollment and only start the vehicle if the detected fingerprint matches the stored data. Additional security features include a keypad for backup access, automatic engine shutdown if idle too long, disconnecting the spark plug for remote locking, and a buzzer alert triggered by ultrasonic height detection. The system aims to provide affordable, user-friendly vehicle protection using fingerprint biometrics which are inexpensive, easy to maintain and difficult to duplicate compared to other biometric methods.
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.
IRJET - Drowsiness Detection System using ML & IPIRJET Journal
This document describes a machine learning and computer vision-based system for detecting driver drowsiness. The system uses a camera to capture images of the driver's face and then applies image processing and fuzzy logic techniques to detect the driver's eyes and lips. It analyzes factors like eye blinking frequency and interval to determine the driver's alertness level and warns the driver if drowsiness is detected. The system was tested in day and night environments and can work in different lighting conditions using fuzzy logic to assess fatigue based on eye movement patterns and predict drowsiness states.
1. The document describes a prototype for a smart travel automated vehicle (STAV) that uses sensors and a Raspberry Pi microcontroller to drive autonomously.
2. The STAV is designed to detect obstacles using ultrasonic sensors, identify traffic signs using computer vision, and send alerts to contacts if an accident occurs using GPS.
3. Features of the STAV include automated driving, fast response times through algorithms, traffic sign detection, obstacle avoidance, accident alerts, and automated headlights based on time of day.
Car Safety System Enhancements using Internet of Things (IoT)IRJET Journal
This document proposes enhancements to car safety systems using Internet of Things (IoT) technologies. It describes a system that would detect alcohol consumption by drivers using an alcohol sensor, and prevent ignition if alcohol is detected. It would also detect car accidents using a tilt sensor and GPS module. If an accident is detected, it would send an emergency SMS message with location details to emergency services. The system would also include improved seatbelt detection using infrared and encoder wheel sensors to ensure proper seatbelt use. The goal is to reduce accidents caused by drunk or unrestrained drivers and speed emergency response when accidents do occur.
IRJET- Survey on Smart Helmet System based on Internet of ThingsIRJET Journal
This document discusses the design of a smart helmet system based on the Internet of Things to improve road safety. The system aims to (1) make wearing a helmet mandatory, (2) prevent drinking and riding, (3) detect accidents and alert authorities, and (4) prevent overspeeding. The smart helmet contains sensors that detect if a helmet is being worn, the rider's alcohol level, and if an accident has occurred. It is connected to the motorcycle which can prevent ignition if safety rules are violated or detect overspeeding. If an accident is detected, emergency responders are automatically alerted of the rider's location to provide timely medical assistance. The system aims to reduce accidents by enforcing safety protocols and handling their aftermath
IRJET - Child Rescue System in Open Bore-Well using Arduino UnoIRJET Journal
This document describes a child rescue system for open bore wells using an Arduino Uno. The system uses infrared sensors to detect movement near and inside the bore well, then activates motors to move a plate to catch the falling child and pull them to safety. It sends alert messages by GSM and displays messages on an LCD screen. The system aims to provide a fast, automatic rescue method to save children who fall into open bore wells, which are currently a safety hazard.
IRJET- Internet of Things based Emergency SystemIRJET Journal
The document proposes an Internet of Things (IoT) based emergency system to detect vehicle accidents. The system uses an accident sensor and microcontroller to detect accidents and transmit the information to an IoT module. The IoT module then sends an alert with the vehicle's GPS location to relatives or nearby hospitals. If the accident is minor, the driver can press a reset switch to continue driving. The system aims to quickly detect accidents and provide immediate medical assistance to reduce accident fatalities.
IRJET- Biometric Vehicle Starter and SecurityIRJET Journal
This document proposes a biometric vehicle security system using fingerprint recognition to prevent unauthorized access. The system would store fingerprint data during enrollment and only start the vehicle if the detected fingerprint matches the stored data. Additional security features include a keypad for backup access, automatic engine shutdown if idle too long, disconnecting the spark plug for remote locking, and a buzzer alert triggered by ultrasonic height detection. The system aims to provide affordable, user-friendly vehicle protection using fingerprint biometrics which are inexpensive, easy to maintain and difficult to duplicate compared to other biometric methods.
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.
IRJET - Drowsiness Detection System using ML & IPIRJET Journal
This document describes a machine learning and computer vision-based system for detecting driver drowsiness. The system uses a camera to capture images of the driver's face and then applies image processing and fuzzy logic techniques to detect the driver's eyes and lips. It analyzes factors like eye blinking frequency and interval to determine the driver's alertness level and warns the driver if drowsiness is detected. The system was tested in day and night environments and can work in different lighting conditions using fuzzy logic to assess fatigue based on eye movement patterns and predict drowsiness states.
1. The document describes a prototype for a smart travel automated vehicle (STAV) that uses sensors and a Raspberry Pi microcontroller to drive autonomously.
2. The STAV is designed to detect obstacles using ultrasonic sensors, identify traffic signs using computer vision, and send alerts to contacts if an accident occurs using GPS.
3. Features of the STAV include automated driving, fast response times through algorithms, traffic sign detection, obstacle avoidance, accident alerts, and automated headlights based on time of day.
Car Safety System Enhancements using Internet of Things (IoT)IRJET Journal
This document proposes enhancements to car safety systems using Internet of Things (IoT) technologies. It describes a system that would detect alcohol consumption by drivers using an alcohol sensor, and prevent ignition if alcohol is detected. It would also detect car accidents using a tilt sensor and GPS module. If an accident is detected, it would send an emergency SMS message with location details to emergency services. The system would also include improved seatbelt detection using infrared and encoder wheel sensors to ensure proper seatbelt use. The goal is to reduce accidents caused by drunk or unrestrained drivers and speed emergency response when accidents do occur.
IRJET- Survey on Smart Helmet System based on Internet of ThingsIRJET Journal
This document discusses the design of a smart helmet system based on the Internet of Things to improve road safety. The system aims to (1) make wearing a helmet mandatory, (2) prevent drinking and riding, (3) detect accidents and alert authorities, and (4) prevent overspeeding. The smart helmet contains sensors that detect if a helmet is being worn, the rider's alcohol level, and if an accident has occurred. It is connected to the motorcycle which can prevent ignition if safety rules are violated or detect overspeeding. If an accident is detected, emergency responders are automatically alerted of the rider's location to provide timely medical assistance. The system aims to reduce accidents by enforcing safety protocols and handling their aftermath
IRJET - Child Rescue System in Open Bore-Well using Arduino UnoIRJET Journal
This document describes a child rescue system for open bore wells using an Arduino Uno. The system uses infrared sensors to detect movement near and inside the bore well, then activates motors to move a plate to catch the falling child and pull them to safety. It sends alert messages by GSM and displays messages on an LCD screen. The system aims to provide a fast, automatic rescue method to save children who fall into open bore wells, which are currently a safety hazard.
IRJET- Internet of Things based Emergency SystemIRJET Journal
The document proposes an Internet of Things (IoT) based emergency system to detect vehicle accidents. The system uses an accident sensor and microcontroller to detect accidents and transmit the information to an IoT module. The IoT module then sends an alert with the vehicle's GPS location to relatives or nearby hospitals. If the accident is minor, the driver can press a reset switch to continue driving. The system aims to quickly detect accidents and provide immediate medical assistance to reduce accident fatalities.
Real Time Driver Monitoring and Accident Avoidence Alerting SystemIRJET Journal
The document proposes a real-time driver monitoring and accident avoidance system that uses image processing and sensors to detect driver drowsiness, alert the driver with a buzzer, and apply the brakes if needed to prevent accidents. Key components include an Arduino, ESP8266 WiFi module, ultrasonic sensor, buzzer, and motor driver to control braking. The system aims to reduce the high number of accidents caused by drowsy driving each year in India.
Accident preventing system with the help of pneumatic bumper protectionIRJET Journal
1. The document describes a system to prevent vehicle accidents using a pneumatic bumper protection.
2. An IR sensor detects obstacles in front of the vehicle and activates a solenoid valve to extend the pneumatic bumper. It also cuts power to the motor to engage the brakes.
3. The system aims to reduce vehicle and human damage from accidents by providing an automatic response when obstacles are detected to extend the bumper and brake the vehicle.
SMART MOTORCYCLE HELMET: REAL-TIME CRASH DETECTION WITH EMERGENCY NOTIFICATIO...ijcsit
Buying a car entails a cost, not counting the day to day high price tag of gasoline. People are looking for viable means of transportation that is cost-effective and can move its way through traffic faster. In the Philippines, motorcycle was the answer to most people transportation needs. With the increasing number of a motorcycle rider in the Philippines safety is the utmost concern. Today technology plays a huge role on how this safety can be assured. We now see advances in connected devices. Devices can sense its surrounding through sensor attach to it. With this in mind, this study focuses on the development of a wearable device named Smart Motorcycle Helmet or simply Smart Helmet, whose main objective is to help motorcycle rider in times of emergency. Utilizing sensors such as alcohol level detector, crash/impact sensor, Internet connection thru 3G, accelerometer, Short Message Service (SMS) and cloud computing infrastructure connected to a Raspberry Pi Zero-W and integrating a separate Arduino board for the antitheft tracking module is used to develop the propose Internet-of Things (IoT) device.
This document describes a smart helmet system that aims to improve motorcycle safety. The system uses sensors to check if the rider is wearing a helmet before allowing the bike to start. It also checks if the rider has been drinking alcohol. The system contains an Arduino microcontroller, alcohol sensor, IR sensor, vibration sensor, GPS and GSM modules. If an accident occurs, the GPS detects the location which is then sent as a text message via GSM to emergency contacts. The goal is to enforce helmet usage and prevent drunk driving, while facilitating quicker emergency response times after an accident. The system provides safety benefits and could help reduce traffic violations and casualties from motorcycle accidents.
IRJET- A Methodology: Iot Based Drowsy Driving Warning and Traffic Collis...IRJET Journal
The document proposes an IoT-based system to detect drowsy driving and traffic collisions. The system uses a smartphone to continuously monitor the driver's face for signs of drowsiness like eye blinking and mouth position using image processing. If drowsiness is detected, an alarm is triggered. The system also uses ultrasonic sensors to monitor vehicle distance and warn of obstacles. An impact sensor detects collisions and sends an emergency message with location to nearby hospitals and police. The goal is to reduce accidents caused by drowsy driving and speed emergency response to collisions.
IRJET- Smart Helmet for Accident PreventionIRJET Journal
This document describes a smart helmet system that prevents motorcycle accidents by checking if the rider is wearing a helmet and is not under the influence of alcohol before starting the engine. The system includes an alcohol sensor and helmet switch fitted in the helmet that send data to a microcontroller. If either condition is not met, the microcontroller will not allow the engine to start. It also detects accidents using an accelerometer and sends location data via GSM to emergency contacts to help save lives. The system aims to reduce head injuries from no-helmet accidents and drunk driving accidents in developing nations like India where motorcycles are widely used.
IRJET- A Survey on Vehicle Security System using IoTIRJET Journal
This document describes a proposed vehicle security system using IoT technologies. The system uses several sensors and devices to enhance vehicle security and safety. It includes a fingerprint sensor for biometric door locking to prevent theft. An IR sensor is used to detect obstacles near windows to close them automatically. An ultrasonic sensor measures distance to obstacles to avoid collisions. A GPS device tracks the live location of the vehicle. The system only allows the engine to start if the driver is wearing a seatbelt for safety. It aims to address disadvantages of existing systems and provide enhanced security, safety and monitoring features through IoT technologies like sensors, microcontrollers and mobile apps.
1. The document describes the development of a helmet detection system and smart seat belt system for dune buggies. The system uses an ultrasonic sensor to detect the presence of a helmet and prevents the vehicle from starting if a helmet is not detected.
2. It also incorporates a seat belt switch that checks if the seat belt is fastened and will not allow the vehicle to start if the seat belt is not fastened.
3. The system is intended to increase safety by ensuring drivers and passengers wear helmets and seat belts, which can reduce injuries during accidents. Various tests showed the system was able to prevent the vehicle from starting when proper safety gear was not worn.
IRJET - Helmet Violation Detection using Deep LearningIRJET Journal
This document describes a proposed system to detect motorcycle riders without helmets using deep learning techniques and report violations. The system uses support vector machines (SVM) for vehicle classification, convolutional neural networks (CNN) and SVM for helmet detection, and optical character recognition (OCR) for license plate recognition. Motorcycles are classified, helmet use is identified, and license plate numbers of riders without helmets are captured and SMS fines are sent. The goal is to reduce accidents by increasing helmet compliance through automated detection and reporting of violations.
IRJET - Smart Assistance System for DriversIRJET Journal
This document describes a smart driver assistance system that uses image processing to detect driver drowsiness and alcohol levels in order to prevent accidents. The system uses a camera mounted on the dashboard to capture images of the driver's face and detects drowsiness by measuring eyelid blinking duration and tracking eye movement. If the eyes are closed for 5-8 consecutive frames, an alarm is sounded. The system also uses an alcohol sensor to detect blood alcohol concentration and generates alerts or disables the vehicle at different thresholds. The goal is to develop a prototype that can warn drivers and reduce accidents caused by fatigue or intoxication through real-time facial analysis.
IRJET-Drunk and Drowsy Detection of Drivers using Artificial IntelligenceIRJET Journal
This document describes a system to detect drunk and drowsy driving using computer vision techniques. The system uses a smartphone camera to capture video of the driver's face and body. It analyzes eye blinking using facial landmark detection to detect drowsiness. It also analyzes body and head movements using differential imaging to detect signs of drunkenness. If signs of drowsiness or drunkenness are detected based on severity thresholds, an alarm is sounded to alert the driver. The system aims to help prevent accidents by monitoring driver fitness in real-time using non-intrusive computer vision methods.
The document describes a proposed usage-based automotive insurance system that uses driving data collected from sensors to determine insurance rates. The system would collect data like braking, acceleration, speed and location via accelerometers and GPS. This data would be used to analyze driving behavior and risk levels to calculate insurance premiums. It aims to offer more accurate policies based on actual driving habits compared to traditional demographic-based systems. It also aims to eliminate fraudulent insurance claims by verifying accident details with sensor data. The document outlines the system requirements, modules, algorithms, architecture, advantages and conclusions of the proposed system.
This document describes a system to detect driver drowsiness using machine vision concepts. A camera is placed to capture the driver's face and detect the eyes. The system calculates a "form factor" for the eye shape and uses this as a reference to compare to subsequent images and determine if the eyes are open or closed. If the driver's eyes are closed for too long, the system will produce warnings and eventually stop the vehicle to prevent accidents from an asleep driver. The system was tested using samples of eye images and successfully classified the driver's state as awake or asleep based on the form factor comparisons. Future work could improve the accuracy for drivers wearing glasses and account for different lighting conditions.
This document discusses an autonomous emergency braking system that uses laser sensors to detect vehicles ahead and automatically apply the brakes to avoid collisions if needed. It begins by introducing the system and its goal of preventing accidents through intelligent electronic control of the braking system. It then describes the key technologies used, including laser sensors to detect vehicles and electronic control units to process the sensor data and apply the brakes. Finally, it summarizes that the autonomous emergency braking system is designed to increase safety on the road by reducing the braking distance of vehicles and the number of accidents through automatic application of the brakes when collisions are imminent.
Innovations in Bike Systems to Provide A Safe Ride Based on IotIJMERJOURNAL
ABSTRACT: Intelligence applications are being developed that make machines more sophisticated in their way of learning and to make decisions. Accident is a specific, unpredicted external action that happens unexpectedly with no apparent or deliberate cause but with marked effects. With the increasing number of bike riders and the number of accidents happening each year our paper focuses on the methods that can be implemented to ensure safety while driving. Distraction of the driver’s attention is the major cause of these accidents. Nowadays wearing helmet has been made mandatory. But still the rules are being violated. Message transmitting sensors are equipped in the speedometer of bike and also in the bike’s helmet. The most important feature of the bike is that the bike’s engine gets start only when the person wears helmet. This system also checks the approaching vehicle’s speed on either side of the road and generate vibrations in the bike’s handlebar. This advanced development is bringing about a new era of productivity for the latest ideas on an astounding scale, understanding their efficiency, speed and functionality.
IRJET- Vehicular Data Acquisition & Driver Behaviours Surveillance SystemIRJET Journal
This document presents a system to detect driver drowsiness using computer vision techniques applied to a smartphone. A microcontroller with GPS and GSM modules is used to send an alert message with the vehicle's location if drowsiness is detected. Drowsiness is detected by analyzing face and eye movements using techniques like eye closure percentage and face tilt detection. The system is aimed to help reduce accidents caused by drowsy driving.
IRJET-A review of Face Recognition Based Car Ignition and Security SystemIRJET Journal
This document proposes a face recognition system to replace traditional car ignition keys. The system would use a Raspberry Pi and MATLAB algorithms to detect and track a user's face in order to start the car. It discusses how face recognition is a growing field in computer vision and security. The proposed system would work by detecting a user's face, recognizing it as an authorized user, and then enabling ignition. This adds security beyond a traditional key while maintaining convenience. It aims to prevent theft while incorporating modern computer vision techniques.
This document describes a proposed integrated safety warning system to detect and alert drivers to fatigue. A camera would detect when a driver's eyelids begin to close, indicating fatigue. An Arduino microcontroller would receive the signal from the camera and activate a vibration motor in the driver's seat. The seat vibration is intended to alert the driver and prevent accidents caused by drowsy driving, which account for thousands of deaths and injuries annually. The proposed system aims to provide a low-cost, non-intrusive solution to enhance road safety.
This document is a project report on machine vision submitted to Amity University by Digvijay Pratap Singh under the guidance of Mr. Raj Kumar Sagar. It includes an introduction to machine vision, discussing what it is, why it is needed, and how it works. It then discusses three applications of machine vision: in intelligent transportation systems for tasks like cruise assistance, urban driving assistance, traffic monitoring, and driver monitoring; for condition monitoring of vegetation on railway embankments; and for quality assessment of row crop plants through tasks like weed/crop classification and plant density evaluation. The document concludes that machine vision is important for increasing efficiency and precision while maintaining standards across various industries.
This document summarizes an intelligent safety helmet system that is designed to improve road safety. The system includes sensors in the helmet that can detect if the helmet is being worn and if the rider has consumed alcohol. It also includes accident detection sensors on the motorcycle that can notify emergency contacts by SMS with the rider's location if an accident occurs. The system aims to enforce safety rules and get medical help to riders more quickly after an accident. It uses wireless communication between modules on the helmet and motorcycle to link the systems together.
The document describes a smart restraint system that enhances vehicle safety through occupant detection sensors and an ignition interlocking system. The system uses a heartbeat sensor to monitor occupants' heart rates and ensure the seat belt is in use. If an occupant is not detected or their heart rate is abnormal, an alarm is triggered. Additionally, if an unauthorized person attempts to start the vehicle, an alert is sent to the authorized user via IFTTT, allowing them to interlock the ignition via IoT and prevent unauthorized access. The system aims to advance safety by detecting occupants, monitoring seat belt use, and preventing unauthorized vehicle use through IoT technology and sensors.
VEHICLE SAFETY, SECURITY MONITORING AND TRACKING DEVICE USING ARDUINOIRJET Journal
This document describes a vehicle safety, security, and tracking device created using an Arduino board. The device uses various sensors to monitor driver safety and prevent accidents. It includes a pressure sensor to check for seatbelt use, an IR sensor to detect accidents, and an alcohol sensor to check for intoxication. If unsafe conditions are detected, the device prevents the vehicle from starting. In the event of an accident, the GPS and GSM modules send the vehicle's location to emergency contacts. The system aims to encourage safe driving behaviors and notify authorities quickly in emergency situations.
Real Time Driver Monitoring and Accident Avoidence Alerting SystemIRJET Journal
The document proposes a real-time driver monitoring and accident avoidance system that uses image processing and sensors to detect driver drowsiness, alert the driver with a buzzer, and apply the brakes if needed to prevent accidents. Key components include an Arduino, ESP8266 WiFi module, ultrasonic sensor, buzzer, and motor driver to control braking. The system aims to reduce the high number of accidents caused by drowsy driving each year in India.
Accident preventing system with the help of pneumatic bumper protectionIRJET Journal
1. The document describes a system to prevent vehicle accidents using a pneumatic bumper protection.
2. An IR sensor detects obstacles in front of the vehicle and activates a solenoid valve to extend the pneumatic bumper. It also cuts power to the motor to engage the brakes.
3. The system aims to reduce vehicle and human damage from accidents by providing an automatic response when obstacles are detected to extend the bumper and brake the vehicle.
SMART MOTORCYCLE HELMET: REAL-TIME CRASH DETECTION WITH EMERGENCY NOTIFICATIO...ijcsit
Buying a car entails a cost, not counting the day to day high price tag of gasoline. People are looking for viable means of transportation that is cost-effective and can move its way through traffic faster. In the Philippines, motorcycle was the answer to most people transportation needs. With the increasing number of a motorcycle rider in the Philippines safety is the utmost concern. Today technology plays a huge role on how this safety can be assured. We now see advances in connected devices. Devices can sense its surrounding through sensor attach to it. With this in mind, this study focuses on the development of a wearable device named Smart Motorcycle Helmet or simply Smart Helmet, whose main objective is to help motorcycle rider in times of emergency. Utilizing sensors such as alcohol level detector, crash/impact sensor, Internet connection thru 3G, accelerometer, Short Message Service (SMS) and cloud computing infrastructure connected to a Raspberry Pi Zero-W and integrating a separate Arduino board for the antitheft tracking module is used to develop the propose Internet-of Things (IoT) device.
This document describes a smart helmet system that aims to improve motorcycle safety. The system uses sensors to check if the rider is wearing a helmet before allowing the bike to start. It also checks if the rider has been drinking alcohol. The system contains an Arduino microcontroller, alcohol sensor, IR sensor, vibration sensor, GPS and GSM modules. If an accident occurs, the GPS detects the location which is then sent as a text message via GSM to emergency contacts. The goal is to enforce helmet usage and prevent drunk driving, while facilitating quicker emergency response times after an accident. The system provides safety benefits and could help reduce traffic violations and casualties from motorcycle accidents.
IRJET- A Methodology: Iot Based Drowsy Driving Warning and Traffic Collis...IRJET Journal
The document proposes an IoT-based system to detect drowsy driving and traffic collisions. The system uses a smartphone to continuously monitor the driver's face for signs of drowsiness like eye blinking and mouth position using image processing. If drowsiness is detected, an alarm is triggered. The system also uses ultrasonic sensors to monitor vehicle distance and warn of obstacles. An impact sensor detects collisions and sends an emergency message with location to nearby hospitals and police. The goal is to reduce accidents caused by drowsy driving and speed emergency response to collisions.
IRJET- Smart Helmet for Accident PreventionIRJET Journal
This document describes a smart helmet system that prevents motorcycle accidents by checking if the rider is wearing a helmet and is not under the influence of alcohol before starting the engine. The system includes an alcohol sensor and helmet switch fitted in the helmet that send data to a microcontroller. If either condition is not met, the microcontroller will not allow the engine to start. It also detects accidents using an accelerometer and sends location data via GSM to emergency contacts to help save lives. The system aims to reduce head injuries from no-helmet accidents and drunk driving accidents in developing nations like India where motorcycles are widely used.
IRJET- A Survey on Vehicle Security System using IoTIRJET Journal
This document describes a proposed vehicle security system using IoT technologies. The system uses several sensors and devices to enhance vehicle security and safety. It includes a fingerprint sensor for biometric door locking to prevent theft. An IR sensor is used to detect obstacles near windows to close them automatically. An ultrasonic sensor measures distance to obstacles to avoid collisions. A GPS device tracks the live location of the vehicle. The system only allows the engine to start if the driver is wearing a seatbelt for safety. It aims to address disadvantages of existing systems and provide enhanced security, safety and monitoring features through IoT technologies like sensors, microcontrollers and mobile apps.
1. The document describes the development of a helmet detection system and smart seat belt system for dune buggies. The system uses an ultrasonic sensor to detect the presence of a helmet and prevents the vehicle from starting if a helmet is not detected.
2. It also incorporates a seat belt switch that checks if the seat belt is fastened and will not allow the vehicle to start if the seat belt is not fastened.
3. The system is intended to increase safety by ensuring drivers and passengers wear helmets and seat belts, which can reduce injuries during accidents. Various tests showed the system was able to prevent the vehicle from starting when proper safety gear was not worn.
IRJET - Helmet Violation Detection using Deep LearningIRJET Journal
This document describes a proposed system to detect motorcycle riders without helmets using deep learning techniques and report violations. The system uses support vector machines (SVM) for vehicle classification, convolutional neural networks (CNN) and SVM for helmet detection, and optical character recognition (OCR) for license plate recognition. Motorcycles are classified, helmet use is identified, and license plate numbers of riders without helmets are captured and SMS fines are sent. The goal is to reduce accidents by increasing helmet compliance through automated detection and reporting of violations.
IRJET - Smart Assistance System for DriversIRJET Journal
This document describes a smart driver assistance system that uses image processing to detect driver drowsiness and alcohol levels in order to prevent accidents. The system uses a camera mounted on the dashboard to capture images of the driver's face and detects drowsiness by measuring eyelid blinking duration and tracking eye movement. If the eyes are closed for 5-8 consecutive frames, an alarm is sounded. The system also uses an alcohol sensor to detect blood alcohol concentration and generates alerts or disables the vehicle at different thresholds. The goal is to develop a prototype that can warn drivers and reduce accidents caused by fatigue or intoxication through real-time facial analysis.
IRJET-Drunk and Drowsy Detection of Drivers using Artificial IntelligenceIRJET Journal
This document describes a system to detect drunk and drowsy driving using computer vision techniques. The system uses a smartphone camera to capture video of the driver's face and body. It analyzes eye blinking using facial landmark detection to detect drowsiness. It also analyzes body and head movements using differential imaging to detect signs of drunkenness. If signs of drowsiness or drunkenness are detected based on severity thresholds, an alarm is sounded to alert the driver. The system aims to help prevent accidents by monitoring driver fitness in real-time using non-intrusive computer vision methods.
The document describes a proposed usage-based automotive insurance system that uses driving data collected from sensors to determine insurance rates. The system would collect data like braking, acceleration, speed and location via accelerometers and GPS. This data would be used to analyze driving behavior and risk levels to calculate insurance premiums. It aims to offer more accurate policies based on actual driving habits compared to traditional demographic-based systems. It also aims to eliminate fraudulent insurance claims by verifying accident details with sensor data. The document outlines the system requirements, modules, algorithms, architecture, advantages and conclusions of the proposed system.
This document describes a system to detect driver drowsiness using machine vision concepts. A camera is placed to capture the driver's face and detect the eyes. The system calculates a "form factor" for the eye shape and uses this as a reference to compare to subsequent images and determine if the eyes are open or closed. If the driver's eyes are closed for too long, the system will produce warnings and eventually stop the vehicle to prevent accidents from an asleep driver. The system was tested using samples of eye images and successfully classified the driver's state as awake or asleep based on the form factor comparisons. Future work could improve the accuracy for drivers wearing glasses and account for different lighting conditions.
This document discusses an autonomous emergency braking system that uses laser sensors to detect vehicles ahead and automatically apply the brakes to avoid collisions if needed. It begins by introducing the system and its goal of preventing accidents through intelligent electronic control of the braking system. It then describes the key technologies used, including laser sensors to detect vehicles and electronic control units to process the sensor data and apply the brakes. Finally, it summarizes that the autonomous emergency braking system is designed to increase safety on the road by reducing the braking distance of vehicles and the number of accidents through automatic application of the brakes when collisions are imminent.
Innovations in Bike Systems to Provide A Safe Ride Based on IotIJMERJOURNAL
ABSTRACT: Intelligence applications are being developed that make machines more sophisticated in their way of learning and to make decisions. Accident is a specific, unpredicted external action that happens unexpectedly with no apparent or deliberate cause but with marked effects. With the increasing number of bike riders and the number of accidents happening each year our paper focuses on the methods that can be implemented to ensure safety while driving. Distraction of the driver’s attention is the major cause of these accidents. Nowadays wearing helmet has been made mandatory. But still the rules are being violated. Message transmitting sensors are equipped in the speedometer of bike and also in the bike’s helmet. The most important feature of the bike is that the bike’s engine gets start only when the person wears helmet. This system also checks the approaching vehicle’s speed on either side of the road and generate vibrations in the bike’s handlebar. This advanced development is bringing about a new era of productivity for the latest ideas on an astounding scale, understanding their efficiency, speed and functionality.
IRJET- Vehicular Data Acquisition & Driver Behaviours Surveillance SystemIRJET Journal
This document presents a system to detect driver drowsiness using computer vision techniques applied to a smartphone. A microcontroller with GPS and GSM modules is used to send an alert message with the vehicle's location if drowsiness is detected. Drowsiness is detected by analyzing face and eye movements using techniques like eye closure percentage and face tilt detection. The system is aimed to help reduce accidents caused by drowsy driving.
IRJET-A review of Face Recognition Based Car Ignition and Security SystemIRJET Journal
This document proposes a face recognition system to replace traditional car ignition keys. The system would use a Raspberry Pi and MATLAB algorithms to detect and track a user's face in order to start the car. It discusses how face recognition is a growing field in computer vision and security. The proposed system would work by detecting a user's face, recognizing it as an authorized user, and then enabling ignition. This adds security beyond a traditional key while maintaining convenience. It aims to prevent theft while incorporating modern computer vision techniques.
This document describes a proposed integrated safety warning system to detect and alert drivers to fatigue. A camera would detect when a driver's eyelids begin to close, indicating fatigue. An Arduino microcontroller would receive the signal from the camera and activate a vibration motor in the driver's seat. The seat vibration is intended to alert the driver and prevent accidents caused by drowsy driving, which account for thousands of deaths and injuries annually. The proposed system aims to provide a low-cost, non-intrusive solution to enhance road safety.
This document is a project report on machine vision submitted to Amity University by Digvijay Pratap Singh under the guidance of Mr. Raj Kumar Sagar. It includes an introduction to machine vision, discussing what it is, why it is needed, and how it works. It then discusses three applications of machine vision: in intelligent transportation systems for tasks like cruise assistance, urban driving assistance, traffic monitoring, and driver monitoring; for condition monitoring of vegetation on railway embankments; and for quality assessment of row crop plants through tasks like weed/crop classification and plant density evaluation. The document concludes that machine vision is important for increasing efficiency and precision while maintaining standards across various industries.
This document summarizes an intelligent safety helmet system that is designed to improve road safety. The system includes sensors in the helmet that can detect if the helmet is being worn and if the rider has consumed alcohol. It also includes accident detection sensors on the motorcycle that can notify emergency contacts by SMS with the rider's location if an accident occurs. The system aims to enforce safety rules and get medical help to riders more quickly after an accident. It uses wireless communication between modules on the helmet and motorcycle to link the systems together.
The document describes a smart restraint system that enhances vehicle safety through occupant detection sensors and an ignition interlocking system. The system uses a heartbeat sensor to monitor occupants' heart rates and ensure the seat belt is in use. If an occupant is not detected or their heart rate is abnormal, an alarm is triggered. Additionally, if an unauthorized person attempts to start the vehicle, an alert is sent to the authorized user via IFTTT, allowing them to interlock the ignition via IoT and prevent unauthorized access. The system aims to advance safety by detecting occupants, monitoring seat belt use, and preventing unauthorized vehicle use through IoT technology and sensors.
VEHICLE SAFETY, SECURITY MONITORING AND TRACKING DEVICE USING ARDUINOIRJET Journal
This document describes a vehicle safety, security, and tracking device created using an Arduino board. The device uses various sensors to monitor driver safety and prevent accidents. It includes a pressure sensor to check for seatbelt use, an IR sensor to detect accidents, and an alcohol sensor to check for intoxication. If unsafe conditions are detected, the device prevents the vehicle from starting. In the event of an accident, the GPS and GSM modules send the vehicle's location to emergency contacts. The system aims to encourage safe driving behaviors and notify authorities quickly in emergency situations.
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.
This document describes a proposed driver authentication system that aims to prevent unlicensed and underage drivers from operating vehicles. The system uses fingerprint biometrics to verify that the driver is the valid license holder. It involves scanning the driver's license, matching the fingerprint, and only starting the vehicle ignition if authentication is successful. The system also includes GPS tracking of vehicles and a website for owners and authorities to view vehicle and driver information. The goal is to enhance road safety by ensuring proper licensing and identifying hit-and-run culprits through automated driver verification and vehicle monitoring.
This document presents a driver authentication system that aims to prevent unlicensed and underage individuals from driving vehicles. The system uses fingerprint biometrics to verify that the person driving matches the fingerprint stored for the license number read from their driver's license card. It includes a GPS module to track the vehicle's location. If verification is successful, the ignition will start. Otherwise it will not. The system is intended to enhance road safety by ensuring only licensed and authorized individuals can drive, and help authorities identify drivers in accidents or stolen vehicles based on records of who recently drove it.
1. The document proposes an intelligence vehicle monitoring system to help avoid road accidents using wireless vehicle-to-infrastructure communication.
2. The system would use sensors on vehicles and road infrastructure to gather and share traffic and road condition data to help optimize traffic flow and suggest safe vehicle behaviors to avoid accidents.
3. It applies concepts from vehicular communication and wireless sensor networks to allow data exchange between vehicles and infrastructure like traffic signals to provide safety applications like collision warnings and speed management.
HELMET DETECTION USING ARTIFICIAL INTELLIGENCEIRJET Journal
This document summarizes a research paper that proposes using a YOLOv3 deep learning algorithm to detect whether motorcyclists are wearing helmets using video surveillance footage. The algorithm would first detect motorcycles, then determine the number of riders and whether each is wearing a helmet. This could help enforce helmet laws more efficiently. The paper reviews previous research on helmet detection methods and the YOLOv3 algorithm. It presents the proposed system architecture and algorithm workflow, and concludes the approach is generally very accurate based on testing with real-world video data containing various challenges.
IRJET - IoT based Vehicle Tracking SystemIRJET Journal
This document describes an IoT-based vehicle tracking system that uses GPS and wireless communication technologies.
The system uses sensors including GPS, temperature, fuel level and speed sensors connected to an Arduino microcontroller. The Arduino collects and sends the sensor data to an IoT platform called Thingsboard using a WiFi module. Thingsboard creates real-time dashboards displaying the live location of the vehicle on a map along with other sensor readings.
Compared to other vehicle tracking systems, this system provides accurate speed and fuel level readings in addition to live location. It is intended to help efficiently monitor vehicle fleets for companies like Uber and Ola. The system could also potentially send alerts in cases of accidents or theft
This document summarizes a research paper on the development of a solar-powered segway vehicle equipped with a grass cutter. The segway is designed to balance and operate manually without sensors or programming. It uses solar panels to charge batteries that power two DC motors for movement and one motor to power the attached grass cutter. Initial tests showed the segway could balance and move forward or backward using switches. Further testing improved its performance without added controls. The completed solar segway was able to cut grass using the attached cutting blade, demonstrating the achievement of the project goals.
This document describes an automatic traffic management system that uses CCTV cameras, a Raspberry Pi microcontroller, and machine learning algorithms to optimize traffic signal times based on real-time traffic conditions. Video from CCTV cameras is processed using HAAR cascade algorithms to identify and classify vehicles in order to calculate traffic density on roads. Based on comparisons to threshold densities, the system can allocate more or less time for traffic signals. This aims to minimize vehicle delays and help reduce issues like traffic jams, pollution, and accidents.
This document describes a smart helmet system that uses IoT technology to provide safety features for motorcycle riders. The system uses sensors to detect if a helmet is being worn, test for alcohol consumption, detect nearby vehicles, and sense if an accident has occurred. If an accident is detected, the system sends an alert message with GPS location to emergency contacts. The goal is to help prevent accidents, detect accidents quickly, and facilitate emergency response. The system is designed using components like an Arduino, RF module, alcohol sensor, IR sensor, GPS and GSM modules. It aims to encourage safe riding practices and reduce accident rates.
The document describes a proposed UID secure travel identity system that would provide Indian citizens with a unique identification number linked to biometric data. This would allow citizens to apply for a passport or driver's license digitally without agents. It would also let law enforcement view citizen data and notify airports if someone is not allowed to travel. The system would integrate various government departments and applications into a single platform to streamline processes and reduce delays. It analyzes the limitations of existing systems and outlines the features and methodology of the proposed centralized UID system to provide a digital identity for all government transactions.
IRJET - Improving Road Travel with Route Suggestion using Decision Tree A...IRJET Journal
The document describes a system that uses sensors in smartphones to analyze road conditions and provide route suggestions to users. It collects data from accelerometers and gyroscopes in smartphones about road vibrations as vehicles move. This data is classified using a decision tree algorithm and stored in a database. The system can then suggest the best routes to users based on current and historical road condition data. It aims to provide safer and more comfortable travel routes without requiring additional hardware. The system architecture involves smartphones collecting sensor data, classifying and uploading it to a server database, which then informs other app users of road conditions and traffic in real-time.
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHMIRJET Journal
This document describes a pothole detection system that uses the YOLO v4 object detection algorithm. The system uses a camera to capture live video and extracts images from the video stream. These images are fed into a pretrained YOLO v4 model that detects and highlights any potholes in real-time with bounding boxes. The model provides accuracy percentages for each detected pothole. A graphical user interface allows users to start and stop the detection process. An evaluation of the YOLO v4 model found it achieved 85-90% accuracy in real-time pothole detection, outperforming an earlier version that used a CNN model. Sample output images from the system demonstrate potholes being correctly detected and
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLCIRJET Journal
The document describes a smart system for sorting defective parts using a programmable logic controller (PLC). Reed switches are used as sensors to detect objects on conveyor belts and send signals to the PLC. Based on object height, the PLC controls DC motors to rotate belts and a pusher arm to sort objects into bins. This automated system reduces manual labor, increases sorting accuracy, and improves production efficiency compared to existing solutions. It is intended for use in small-scale industries to provide a low-cost sorting solution.
IRJET - Driver Drowsiness and Alcohol Detection with Car Tracking System usin...IRJET Journal
This document proposes a system using IoT to prevent accidents from drunk or drowsy driving. The system includes sensors to detect alcohol concentration using an MQ-3 sensor, eye blink rate using image processing on a Raspberry Pi to detect drowsiness. It also includes a GPS sensor to track the vehicle's coordinates. If the driver is detected as drunk or drowsy, protective measures are taken like turning off the ignition and triggering an alarm. The location and alerts would also be sent to family members. The overall aim is to prevent accidents from drunk or sleepy driving and provide car tracking for safety or theft situations.
IRJET- IoT based Smart Sensing Wheelchair to Assist in HealthcareIRJET Journal
The document proposes an IoT-based smart wheelchair that monitors a patient's heartbeat on a regular basis and notifies concerned individuals via message. Sensors would be integrated into the wheelchair seat and backrest to detect cardiovascular abnormalities. An Arduino board would connect to an IoT cloud platform via an edge device to transmit sensor data and receive commands. The system aims to provide independent mobility and remote health monitoring for patients who have difficulty operating a manual wheelchair.
This document describes a proposed smart transportation monitoring system that uses sensors and cameras to continuously monitor vehicles and alert authorities to issues like overspeeding or accidents. The system is intended to help improve transport safety and maintenance costs by keeping close track of vehicle locations and behaviors. It would work by using GPS and GSM modules to track vehicle positions over time and transmit updates to a database via a web portal. An accompanying smartphone app would also allow for real-time vehicle monitoring. The proposed system aims to address issues like high accident rates and maintenance costs from careless driving. It analyzes the technical, economic, and behavioral feasibility of the system and its potential to benefit transportation management and safety.
This document discusses car automation using Internet of Things technologies. It describes how sensors like ultrasonic sensors, GPS receivers, and IR sensors can be used with microcontrollers like Arduino and Raspberry Pi to monitor and control aspects of a vehicle. This allows for features like obstacle detection, speed control, automatic parking, and remote monitoring. The document also reviews several related works involving platforms for autonomous vehicles and discusses methods, results and applications of car automation systems.
1. The document describes an IoT-based student attendance system that uses fingerprint recognition to identify students and automatically record attendance in real-time.
2. The system uses an ESP8266 microcontroller connected to WiFi to send student fingerprint IDs to a server when scanned. The server then updates attendance records and calculates percentages.
3. Students and teachers can check attendance and assignments in real-time through a mobile app, improving accuracy over traditional paper-based systems while saving time.
Similar to IRJET - Ignition Interlocking Seat Belt (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
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
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.
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.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.
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.
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.