The document describes a Vehicle Crash Alert System (VCAS) created by Anurag Garg, Sanjay Singh, and Shadhab Fazvi. VCAS is a small box containing an accelerometer sensor that can detect if a vehicle has crashed or tilted. If so, it transmits coordinates using short-range radio signals to alert emergency responders. The system is low-cost, reliable, and aims to reduce road accident deaths in India by facilitating faster medical response times. A prototype was created using an AVR microcontroller and acceleration sensor to demonstrate transmitting different radio signals based on crash positioning.
IRJET - Accident Prevention Control System and Detection of Lost KeyIRJET Journal
This document describes a project to develop an accident prevention and control system using sensors and a microcontroller, as well as a system to detect lost keys using GPS. The accident prevention system uses an ultrasonic sensor to measure distance to nearby objects, and alerts the driver or takes actions like disabling the ignition if distances become too small. If an accident still occurs, the system uses GPS to locate the coordinates and sends an SMS using GSM to emergency contacts. The lost key detection system inserts a GPS module into keys to track their location via a mobile phone app or web page if lost. The system is intended to reduce accidents and provide safety, while having low cost, simple design, and low power consumption.
This document discusses e-call, an emergency system in vehicles that automatically contacts emergency services in the event of a crash. It reduces response time from 30 minutes to within minutes by using sensors to detect crashes and GPS to pinpoint the location. The system sends data to a public safety access point that then alerts rescue services. Standards and technology ensure reliable communication between vehicles and emergency centers. E-call is currently installed by some automakers and will be mandatory in new European vehicles by 2015 to save lives by hastening medical response.
SMART ACCIDENT DETECTION AND ALERT MESSAGE SYSTEMIRJET Journal
This document describes a smart accident detection and alert message system that uses sensors to detect vehicle accidents and send emergency alerts. The system uses an Arduino Uno controller interfaced with a GPS module, GSM module, and accelerometer. If an accident is detected by a change in vehicle orientation measured by the accelerometer, the GPS module transmits the accident location via the GSM module. This sends an SMS alert with a Google Maps link to pre-determined contacts like family members or emergency services, allowing them to locate the vehicle and respond quickly to the accident. The goal is to reduce accident fatalities by speeding up emergency response times.
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.
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.
This document proposes an IoT-based vehicle accident monitoring and control system. The system uses a PIC microcontroller and sensors to detect vehicle accidents through vibrations. When an accident is detected, the system will send GPS location data to IoT to alert hospitals and relatives. A reset button allows the driver to cancel the alert for minor accidents. The aim is to quickly provide accident information and location to facilitate emergency response.
The document describes a Vehicle Crash Alert System (VCAS) created by Anurag Garg, Sanjay Singh, and Shadhab Fazvi. VCAS is a small box containing an accelerometer sensor that can detect if a vehicle has crashed or tilted. If so, it transmits coordinates using short-range radio signals to alert emergency responders. The system is low-cost, reliable, and aims to reduce road accident deaths in India by facilitating faster medical response times. A prototype was created using an AVR microcontroller and acceleration sensor to demonstrate transmitting different radio signals based on crash positioning.
IRJET - Accident Prevention Control System and Detection of Lost KeyIRJET Journal
This document describes a project to develop an accident prevention and control system using sensors and a microcontroller, as well as a system to detect lost keys using GPS. The accident prevention system uses an ultrasonic sensor to measure distance to nearby objects, and alerts the driver or takes actions like disabling the ignition if distances become too small. If an accident still occurs, the system uses GPS to locate the coordinates and sends an SMS using GSM to emergency contacts. The lost key detection system inserts a GPS module into keys to track their location via a mobile phone app or web page if lost. The system is intended to reduce accidents and provide safety, while having low cost, simple design, and low power consumption.
This document discusses e-call, an emergency system in vehicles that automatically contacts emergency services in the event of a crash. It reduces response time from 30 minutes to within minutes by using sensors to detect crashes and GPS to pinpoint the location. The system sends data to a public safety access point that then alerts rescue services. Standards and technology ensure reliable communication between vehicles and emergency centers. E-call is currently installed by some automakers and will be mandatory in new European vehicles by 2015 to save lives by hastening medical response.
SMART ACCIDENT DETECTION AND ALERT MESSAGE SYSTEMIRJET Journal
This document describes a smart accident detection and alert message system that uses sensors to detect vehicle accidents and send emergency alerts. The system uses an Arduino Uno controller interfaced with a GPS module, GSM module, and accelerometer. If an accident is detected by a change in vehicle orientation measured by the accelerometer, the GPS module transmits the accident location via the GSM module. This sends an SMS alert with a Google Maps link to pre-determined contacts like family members or emergency services, allowing them to locate the vehicle and respond quickly to the accident. The goal is to reduce accident fatalities by speeding up emergency response times.
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.
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.
This document proposes an IoT-based vehicle accident monitoring and control system. The system uses a PIC microcontroller and sensors to detect vehicle accidents through vibrations. When an accident is detected, the system will send GPS location data to IoT to alert hospitals and relatives. A reset button allows the driver to cancel the alert for minor accidents. The aim is to quickly provide accident information and location to facilitate emergency response.
Application Oriented Computer Vision Pipeline for Automotive IndustryOytun Eren Sengul
This document discusses computer vision applications for the automotive industry developed by InfoDif, a Turkish R&D company. It describes solutions such as driver monitoring systems to detect seatbelt use, drowsiness, and identify the driver; vehicle security systems using intruder detection; and advanced driver assistance features like lane departure warnings. The company has developed its own image processing framework called CAPRA and uses specialized hardware to enable these real-time computer vision applications.
IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...IRJET Journal
This document describes a smart vehicle system that detects vehicle crashes and dispatches emergency services. The system has two main parts: 1) crash detection and location identification, and 2) efficient traffic control for emergency vehicles. The first part uses sensors to detect crashes and obtain location and passenger health data from GPS and pulse sensors, sending this information via GSM to emergency services. The second part uses RFID to control traffic signals and prioritize lanes for approaching emergency response vehicles to reach the crash site more quickly. The overall goal is to minimize response times and reduce transportation accident deaths.
Smart Highway Technology using Intelligent Black Box for Vehicle Accident Mon...ijtsrd
The main aim of this paper is a development of prototype Vehicle Black Box System VBBS which can be installed into any vehicle like car, two wheeler, and any other vehicle all over the world. This system can be designed with minimum number of circuits. The Vehicle Black Box system can play a good role in constructing safer vehicles, when the accident is occurred for treatment of crash victims, helps insurance companies for their vehicle crash investigations, and increases highway status in order to decrease the death rate. Prof. Saurabh Thakare | Miss. Kiran Ingle | Miss. Kajal Nhavkar | Miss. Suvarna Khondale | Mr. Vikrant Duryodhan | Mr. Dnyaneshwar Hyalinge | Mr. Vinayak Shirsat "Smart Highway Technology using Intelligent Black Box for Vehicle Accident Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30974.pdf Paper Url :https://www.ijtsrd.com/engineering/electrical-engineering/30974/smart-highway-technology-using-intelligent-black-box-for-vehicle-accident-monitoring/prof-saurabh-thakare
Advanced High Speed Black Box Based Vehicle Crash Investigation Systemijtsrd
This document describes a proposed vehicle black box system that records data during crashes to aid in accident investigations. It would include sensors to monitor speed, location via GPS, and video footage via front and back cameras. The data would be stored temporarily in memory and could then be retrieved for analysis after a crash. The system aims to objectively determine the causes and sequence of events leading up to and during accidents. This could help insurance claims and reduce pending cases by providing clear evidence.
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.
The document presents a distance monitoring vision system for automobiles using image processing. The system is proposed to help reduce traffic problems like traffic jams and accidents by allowing drivers to monitor the distance to objects in front of and behind their vehicle. It would use a camera, engine control unit, and microchip to process images and provide alerts to drivers through LED lights and sounds if an object gets too close. The system is intended to help avoid collisions by detecting other vehicles and obstacles on the road. Charts are presented showing reductions in road accidents expected with the use of such a distance monitoring system.
IRJET- Car Accident Detection and Reporting SystemIRJET Journal
This document describes a car accident detection and reporting system that uses sensors to detect accidents and sends alerts. When an accident occurs and the vibration sensor exceeds a threshold, the Arduino analyzes the sensor readings and takes action. It sends an SMS with the vehicle's location from the GPS module to emergency responders for immediate assistance. The system aims to reduce accidents and response time by automatically detecting accidents and messaging authorities. It provides a promising embedded approach using components like Arduino, GSM, GPS, and vibration sensors.
The OBD Analyser is a device that connects to a vehicle's onboard diagnostic port to monitor driving data and vehicle usage. It can create policies to improve fuel efficiency, reduce maintenance costs, and ensure proper taxi cab usage. When policy violations occur, it sends alerts and can remotely lock or disable the vehicle. It monitors many data points including speed, engine parameters, door openings, taxi meter usage, and more. The OBD Analyser is installed behind the dashboard and connected to the vehicle's diagnostic port and power. It can be configured locally or remotely to set usage policies and parameters.
IRJET- Driver State Monitoring System and Vehicle ControlIRJET Journal
This document describes a driver state monitoring system and vehicle control system using sensors and a microcontroller. The system uses a smartphone app to detect driver drowsiness by monitoring eye blink rate. If drowsiness is detected, the system sends a signal to an Arduino microcontroller which triggers an alarm and reduces vehicle speed for safety. Ultrasonic sensors detect objects in front of and behind the vehicle. The system is able to automatically control vehicle speed, alert the driver, and safely park the vehicle if the driver is drowsy. The overall goal is to increase vehicle and road safety by monitoring driver attention and taking control of the vehicle when needed.
This document presents a novel vehicle security and monitoring system using wireless technology. The system architecture includes a GPS receiver to track the vehicle's location, a GSM modem to send SMS alerts, an IR sensor to detect driver drowsiness, and RF tags to identify traffic signal violations. The system has two main units - a security unit embedded in the vehicle that sends location and sensor data to a control unit via GSM. If theft is detected, the user can track the vehicle's location and stop it remotely via SMS commands. An IR sensor monitors the driver for drowsiness and will slow down or stop the vehicle if needed. RF tags help identify traffic light violations and alert the user via buzzer and SMS. The system
IRJET- Car Accident Detection and Notification: An Analytical SurveyIRJET Journal
The document presents a proposed system for car accident detection and notification. The system has two phases: 1) Detection using vibration, speed and collision sensors to identify if an accident has occurred. 2) Notification which uses an Android application along with GPRS and GSM modules to determine the location of the accident and send messages to emergency services and relatives to request help. The system aims to provide faster emergency response to save lives by automating the accident detection and notification process.
This document describes a smart helmet system that uses sensors and wireless communication to improve rider safety. The system detects if the rider has been in an accident using an accelerometer. It also checks if the rider has been drinking alcohol and whether they are wearing a helmet before allowing the bike to start. If an accident occurs, the helmet sends an alert message with the rider's location to registered contacts using GPS and GSM. The system aims to reduce accidents by ensuring safe riding conditions and enabling faster emergency response when needed.
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...IRJET Journal
This document describes a vehicle theft detection system that uses various sensors integrated with a microcontroller and communication modules. The system uses an alcohol sensor to detect alcohol, a smoke sensor to detect smoke, and an emergency button. It sends alerts to a Blynk app and via SMS messages using an ESP8266 WiFi module and GPS and GSM modules. The microcontroller analyzes sensor data and controls alerts and ignition. The system was designed and tested to provide vehicle tracking, pollution monitoring, and safety features. Future extensions could include automatic emergency braking and drowsiness detection.
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.
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.
ELS is the first year hardware group project. This aims at improving safety on highways by enforcing law, driver assisting, geo tracking and automatic responding in case of emergency.
This document presents a project on developing a smart vehicle accident detection and rescue system using IoT. The system aims to automatically detect vehicle accidents and alert nearby people, hospitals, and police. It also sends location details to help with rescue efforts. The proposed system uses sensors to detect accidents and an IoT module to communicate accident details via a cloud network. If the accident is minor, drivers can press a reset button to avoid alerts. Otherwise, location and vehicle data is sent for emergency response. The system was tested on vehicles and aims to reduce accident fatalities by expediting rescue times.
Iaetsd automobile automation using ultrasonics and image processing along wit...Iaetsd Iaetsd
The document describes a system to automatically control a vehicle's speed and avoid accidents using various sensors. An ultrasonic sensor detects obstacles and controls the vehicle's speed based on the distance to the obstacle. An eye blink sensor detects if the driver is drowsy and will stop the car if no blinking is detected for 30 seconds. A breathalyzer prevents the car from starting if the driver's alcohol level is above the limit and will also stop the car if alcohol is detected while driving. A smoke sensor detects any smoke from short circuits in the engine and alerts the driver to stop. The system aims to reduce accidents by automatically controlling the vehicle's speed based on obstacle detection and preventing driving under the influence of alcohol or when drowsy
An accident is a specific, unexpected, unusual and unintended external action which occurs in a particular time and place, with no apparent and deliberate cause but with marked effects. Carelessness of the driver is the major factor of such accidents. The traffic authorities give a lot of instructions to the vehicle operators. But many of them do not obey the rules. Nowadays most of the countries are forcing the motor riders to wear the helmet and not to use the vehicles when the person is in drunken condition. But still the rules are being violated by the users. In order to overcome this we propose a new intelligent helmet system, which automatically checks whether the person is wearing the helmet and has non- alcoholic breath while driving. Here we have a transmitter at the helmet and the receiver at the bike .The project aims at the security and safety of the bikers against road accidents. The circuit is so designed that the bike wont’ start without wearing helmet. Also, if the driver is drunk, the bike will not start thereby preventing drunken drivers. And in case of accident, immediate message will be sent to the family members about the accident using a GSM modem.
Design and Implementation of Car Black box for Evidence Collection System to ...IJMTST Journal
The vehicle accident is a major public problem in many countries. It is occurred due to rider's poor
behaviors, Vehicle bad condition, bad weather situation and opposite vehicle mistakes. To predict those
situations block box concept is introduced. The concept of the Car Black Box is similar to the Flight block box
concept, which is stores the vehicle condition such as engine temperature, speed, CO2 content, it also checks
the car present condition before ignition the vehicle, brake condition, seat belt and also introduce the
automatic speed controller to avoids crashing between the vehicles. It is a low cost system which provides
solution to the existing automotive control systems. And it also monitors the vehicle current condition on
Display of LCD. The design selects ARM 7 as embedded controller, UART ( Universal Asynchronous Receiver
Transmitter) is the common peripheral found on microcontrollers widely used for communication with the
external devices and systems, I2C (Inter-Integrated Circuit) for on-board communication.
Application Oriented Computer Vision Pipeline for Automotive IndustryOytun Eren Sengul
This document discusses computer vision applications for the automotive industry developed by InfoDif, a Turkish R&D company. It describes solutions such as driver monitoring systems to detect seatbelt use, drowsiness, and identify the driver; vehicle security systems using intruder detection; and advanced driver assistance features like lane departure warnings. The company has developed its own image processing framework called CAPRA and uses specialized hardware to enable these real-time computer vision applications.
IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...IRJET Journal
This document describes a smart vehicle system that detects vehicle crashes and dispatches emergency services. The system has two main parts: 1) crash detection and location identification, and 2) efficient traffic control for emergency vehicles. The first part uses sensors to detect crashes and obtain location and passenger health data from GPS and pulse sensors, sending this information via GSM to emergency services. The second part uses RFID to control traffic signals and prioritize lanes for approaching emergency response vehicles to reach the crash site more quickly. The overall goal is to minimize response times and reduce transportation accident deaths.
Smart Highway Technology using Intelligent Black Box for Vehicle Accident Mon...ijtsrd
The main aim of this paper is a development of prototype Vehicle Black Box System VBBS which can be installed into any vehicle like car, two wheeler, and any other vehicle all over the world. This system can be designed with minimum number of circuits. The Vehicle Black Box system can play a good role in constructing safer vehicles, when the accident is occurred for treatment of crash victims, helps insurance companies for their vehicle crash investigations, and increases highway status in order to decrease the death rate. Prof. Saurabh Thakare | Miss. Kiran Ingle | Miss. Kajal Nhavkar | Miss. Suvarna Khondale | Mr. Vikrant Duryodhan | Mr. Dnyaneshwar Hyalinge | Mr. Vinayak Shirsat "Smart Highway Technology using Intelligent Black Box for Vehicle Accident Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30974.pdf Paper Url :https://www.ijtsrd.com/engineering/electrical-engineering/30974/smart-highway-technology-using-intelligent-black-box-for-vehicle-accident-monitoring/prof-saurabh-thakare
Advanced High Speed Black Box Based Vehicle Crash Investigation Systemijtsrd
This document describes a proposed vehicle black box system that records data during crashes to aid in accident investigations. It would include sensors to monitor speed, location via GPS, and video footage via front and back cameras. The data would be stored temporarily in memory and could then be retrieved for analysis after a crash. The system aims to objectively determine the causes and sequence of events leading up to and during accidents. This could help insurance claims and reduce pending cases by providing clear evidence.
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.
The document presents a distance monitoring vision system for automobiles using image processing. The system is proposed to help reduce traffic problems like traffic jams and accidents by allowing drivers to monitor the distance to objects in front of and behind their vehicle. It would use a camera, engine control unit, and microchip to process images and provide alerts to drivers through LED lights and sounds if an object gets too close. The system is intended to help avoid collisions by detecting other vehicles and obstacles on the road. Charts are presented showing reductions in road accidents expected with the use of such a distance monitoring system.
IRJET- Car Accident Detection and Reporting SystemIRJET Journal
This document describes a car accident detection and reporting system that uses sensors to detect accidents and sends alerts. When an accident occurs and the vibration sensor exceeds a threshold, the Arduino analyzes the sensor readings and takes action. It sends an SMS with the vehicle's location from the GPS module to emergency responders for immediate assistance. The system aims to reduce accidents and response time by automatically detecting accidents and messaging authorities. It provides a promising embedded approach using components like Arduino, GSM, GPS, and vibration sensors.
The OBD Analyser is a device that connects to a vehicle's onboard diagnostic port to monitor driving data and vehicle usage. It can create policies to improve fuel efficiency, reduce maintenance costs, and ensure proper taxi cab usage. When policy violations occur, it sends alerts and can remotely lock or disable the vehicle. It monitors many data points including speed, engine parameters, door openings, taxi meter usage, and more. The OBD Analyser is installed behind the dashboard and connected to the vehicle's diagnostic port and power. It can be configured locally or remotely to set usage policies and parameters.
IRJET- Driver State Monitoring System and Vehicle ControlIRJET Journal
This document describes a driver state monitoring system and vehicle control system using sensors and a microcontroller. The system uses a smartphone app to detect driver drowsiness by monitoring eye blink rate. If drowsiness is detected, the system sends a signal to an Arduino microcontroller which triggers an alarm and reduces vehicle speed for safety. Ultrasonic sensors detect objects in front of and behind the vehicle. The system is able to automatically control vehicle speed, alert the driver, and safely park the vehicle if the driver is drowsy. The overall goal is to increase vehicle and road safety by monitoring driver attention and taking control of the vehicle when needed.
This document presents a novel vehicle security and monitoring system using wireless technology. The system architecture includes a GPS receiver to track the vehicle's location, a GSM modem to send SMS alerts, an IR sensor to detect driver drowsiness, and RF tags to identify traffic signal violations. The system has two main units - a security unit embedded in the vehicle that sends location and sensor data to a control unit via GSM. If theft is detected, the user can track the vehicle's location and stop it remotely via SMS commands. An IR sensor monitors the driver for drowsiness and will slow down or stop the vehicle if needed. RF tags help identify traffic light violations and alert the user via buzzer and SMS. The system
IRJET- Car Accident Detection and Notification: An Analytical SurveyIRJET Journal
The document presents a proposed system for car accident detection and notification. The system has two phases: 1) Detection using vibration, speed and collision sensors to identify if an accident has occurred. 2) Notification which uses an Android application along with GPRS and GSM modules to determine the location of the accident and send messages to emergency services and relatives to request help. The system aims to provide faster emergency response to save lives by automating the accident detection and notification process.
This document describes a smart helmet system that uses sensors and wireless communication to improve rider safety. The system detects if the rider has been in an accident using an accelerometer. It also checks if the rider has been drinking alcohol and whether they are wearing a helmet before allowing the bike to start. If an accident occurs, the helmet sends an alert message with the rider's location to registered contacts using GPS and GSM. The system aims to reduce accidents by ensuring safe riding conditions and enabling faster emergency response when needed.
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...IRJET Journal
This document describes a vehicle theft detection system that uses various sensors integrated with a microcontroller and communication modules. The system uses an alcohol sensor to detect alcohol, a smoke sensor to detect smoke, and an emergency button. It sends alerts to a Blynk app and via SMS messages using an ESP8266 WiFi module and GPS and GSM modules. The microcontroller analyzes sensor data and controls alerts and ignition. The system was designed and tested to provide vehicle tracking, pollution monitoring, and safety features. Future extensions could include automatic emergency braking and drowsiness detection.
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.
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.
ELS is the first year hardware group project. This aims at improving safety on highways by enforcing law, driver assisting, geo tracking and automatic responding in case of emergency.
This document presents a project on developing a smart vehicle accident detection and rescue system using IoT. The system aims to automatically detect vehicle accidents and alert nearby people, hospitals, and police. It also sends location details to help with rescue efforts. The proposed system uses sensors to detect accidents and an IoT module to communicate accident details via a cloud network. If the accident is minor, drivers can press a reset button to avoid alerts. Otherwise, location and vehicle data is sent for emergency response. The system was tested on vehicles and aims to reduce accident fatalities by expediting rescue times.
Iaetsd automobile automation using ultrasonics and image processing along wit...Iaetsd Iaetsd
The document describes a system to automatically control a vehicle's speed and avoid accidents using various sensors. An ultrasonic sensor detects obstacles and controls the vehicle's speed based on the distance to the obstacle. An eye blink sensor detects if the driver is drowsy and will stop the car if no blinking is detected for 30 seconds. A breathalyzer prevents the car from starting if the driver's alcohol level is above the limit and will also stop the car if alcohol is detected while driving. A smoke sensor detects any smoke from short circuits in the engine and alerts the driver to stop. The system aims to reduce accidents by automatically controlling the vehicle's speed based on obstacle detection and preventing driving under the influence of alcohol or when drowsy
An accident is a specific, unexpected, unusual and unintended external action which occurs in a particular time and place, with no apparent and deliberate cause but with marked effects. Carelessness of the driver is the major factor of such accidents. The traffic authorities give a lot of instructions to the vehicle operators. But many of them do not obey the rules. Nowadays most of the countries are forcing the motor riders to wear the helmet and not to use the vehicles when the person is in drunken condition. But still the rules are being violated by the users. In order to overcome this we propose a new intelligent helmet system, which automatically checks whether the person is wearing the helmet and has non- alcoholic breath while driving. Here we have a transmitter at the helmet and the receiver at the bike .The project aims at the security and safety of the bikers against road accidents. The circuit is so designed that the bike wont’ start without wearing helmet. Also, if the driver is drunk, the bike will not start thereby preventing drunken drivers. And in case of accident, immediate message will be sent to the family members about the accident using a GSM modem.
Design and Implementation of Car Black box for Evidence Collection System to ...IJMTST Journal
The vehicle accident is a major public problem in many countries. It is occurred due to rider's poor
behaviors, Vehicle bad condition, bad weather situation and opposite vehicle mistakes. To predict those
situations block box concept is introduced. The concept of the Car Black Box is similar to the Flight block box
concept, which is stores the vehicle condition such as engine temperature, speed, CO2 content, it also checks
the car present condition before ignition the vehicle, brake condition, seat belt and also introduce the
automatic speed controller to avoids crashing between the vehicles. It is a low cost system which provides
solution to the existing automotive control systems. And it also monitors the vehicle current condition on
Display of LCD. The design selects ARM 7 as embedded controller, UART ( Universal Asynchronous Receiver
Transmitter) is the common peripheral found on microcontrollers widely used for communication with the
external devices and systems, I2C (Inter-Integrated Circuit) for on-board communication.
Similar to A SAFETY SYSTEM FOR ACCIDENT MONITORING USING BLACK BOX (4).pptx (20)
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.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
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.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
A SAFETY SYSTEM FOR ACCIDENT MONITORING USING BLACK BOX (4).pptx
1. M.A.M COLLEGE OF ENGINEERING
THIRUCHRAPALLI-621105
A SAFETY SYSTEM FOR ACCIDENT MONITORING
WITH BLACK BOX
2. ABSTRACT
• Traffic in our country is increasing day by day. Many people are not giving a good response for
the traffic rules in many places.
• Mainly accidents happens due to over speed and careless driving. Especially, in the school and
the college zone, people are hesitating for decreasing the speed to its limit.
• This is embedded project to indicate the over speed and to control the vehicle in the over speed
condition. This is constructed with the wireless communication. Given below is the block
diagram of the project.
• We are using PIC16F877A which is Programmable IC Microcontroller. To check the drunk and
drive we interfaced Alcohol sensor, and accident sensor indicate the occurrence of accident and
alert the public via alarm.
• The accident location using GPS. If the accident is a minor one then driver can press the reset
switch and drive normally.Accelerator, brake clutch and steering position sensor indicate the
position of accelerator, brake clutch steering respectively.
• We can monitor and control all with the help of IOT mobile app.
3. INTRODUCTION
• The main purpose of this paper is to develop a prototype of the vehicle black box system VBBS
that can be installed into any vehicle all over the world. This prototype can be designed with
minimum number of circuits.
• The VBBS can contribute to constructing safer vehicles, improving the treatment of crash victims,
helping insurance companies with their vehicle crash investigations, and enhancing road status in
order to decrease the death rate.
• Many police cases related to road accidents remain pending due to unknown reason of an
accident. To avoid these problems, a black box is designed which is used to analyse the status of
the vehicle at the time of occurrence of accidents.
• Black box is a digital electronic device, which records and store vehicle speed, real time and
vehicle's other status information. It helps to discover and to analyse the reason of an accident
easily and to settle many disputes related to car accident such as crash litigation, insurance
settlements.
• It can be used to not only reconstruct what happened before an accident by Insurance agents and
police but improve vehicle design, roadway design and emergency medical service by
automakers, government and hospital. Hence a combined system is essential to provide the
solution for all the above problems).
4. EXISTING SYSTEM
• The most common and well-known systems for accident monitoring with black box
• Flight Data Recorder: It is a black box that records crucial flight data and voice communication
between the cockpit crew members. The flight data recorder (FDR) is designed to withstand
extreme conditions and can help investigators understand what went wrong during an accident.
• Event Data Recorder (EDR): EDR is a black box that records critical data from a vehicle during a
crash. The device records information such as speed, braking, and seat belt use, and can provide
insight into the cause of the accident.
• Automobile Event Data Recorder: Similar to the EDR, this device records data from a vehicle during
a crash. It can provide important information to investigators about the cause of the accident.
• Overall, these systems for accident monitoring with black box are critical in understanding the
cause of accidents and preventing them from happening in the future.
5. PROPOSED SYSTEM
• In this project we’re going to monitor the accident with black box. Here it consist of various sensors
namely, Accelerator sensor ,brake sensor , clutch sensor ,steering position sensor and accident sensor .
• All the above mentioned sensor is used to analyze the condition of the vehicle .
• With the help GPS , location of accident occurred place to be located and stored for future purpose.
• If the driver felt it was an minor accident at the time he able to press the reset key , and the continue
driving normally.
• Once the major accident occurred after sensor detected that alert system alerts the people through
buzzer
• All the data are updated on the IoT cloud instantly for monitoring and for future purpose using IoT
mobile application.