Vehicle Accident Detection And Alert System

This project presents a smart and efficient Vehicle Accident Detection and Alert System designed to enhance road safety and reduce the response time during accidents. The system uses an ESP32 microcontroller, which supports both Wi-Fi and Bluetooth communication, to detect abnormal vehicle conditions and send immediate alerts. A gyroscope sensor is employed to detect tilt or sudden motion, which may indicate a crash or rollover. An MQ3 gas sensor is integrated to sense the presence of alcohol or gas leakage inside the vehicle, which ensures early detection of dangerous situations such as drunk driving or fuel leaks. Additionally, an ultrasonic sensor is used to detect nearby obstacles or impacts, further contributing to accident detection. Once a potential accident or hazard is identified, the system activates a buzzer and LED indicator to alert passengers or nearby people. A 16x2 LCD display is used to show the system status in real-time. At the same time, an alert message, including location data if GPS is used, is sent wirelessly to emergency contacts or authorities using Wi-Fi or Bluetooth. The system is powered by a battery, ensuring functionality even when the vehicle's main power fails during a collision. This real-time monitoring and alert mechanism provides a cost-effective and practical solution for improving vehicle safety, especially in areas with limited access to immediate medical support or rescue services. The modularity of the system allows for future upgrades such as GPS integration, GSM for SMS alerts, and mobile app connectivity for live tracking. It is particularly beneficial for private vehicles, public transportation, and fleet management. Overall, the system contributes to minimizing accident severity, saving lives, and providing valuable data for post-accident analysis. This innovative approach demonstrates the effective use of embedded systems and sensors in building safer and smarter transportation systems. Keywords: Vehicle safety, Accident detection, ESP32, IoT, Gyroscope sensor, MQ3 Alcohol sensor, Ultrasonic sensor, Alert system, Real-time monitoring, Embedded system, Wireless communication, Alcohol detection, Tilt sensor, Buzzer alert, LCD display.

Authors

Institutions

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-09
DOI
https://doi.org/10.55041/ijsrem44143
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vehicle Accident Detection And Alert System

P. S. Kashyap, Deepika Sharma, Vivek Kumar Singh, Shuvo Biswas
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT and GPS-based Vehicle Safety Systems
article

Vehicle Accident Detection And Alert System

P. S. Kashyap, Deepika Sharma, Vivek Kumar Singh, Shuvo Biswas
article en

Abstract

This project presents a smart and efficient Vehicle Accident Detection and Alert System designed to enhance road safety and reduce the response time during accidents. The system uses an ESP32 microcontroller, which supports both Wi-Fi and Bluetooth communication, to detect abnormal vehicle conditions and send immediate alerts. A gyroscope sensor is employed to detect tilt or sudden motion, which may indicate a crash or rollover. An MQ3 gas sensor is integrated to sense the presence of alcohol or gas leakage inside the vehicle, which ensures early detection of dangerous situations such as drunk driving or fuel leaks. Additionally, an ultrasonic sensor is used to detect nearby obstacles or impacts, further contributing to accident detection. Once a potential accident or hazard is identified, the system activates a buzzer and LED indicator to alert passengers or nearby people. A 16x2 LCD display is used to show the system status in real-time. At the same time, an alert message, including location data if GPS is used, is sent wirelessly to emergency contacts or authorities using Wi-Fi or Bluetooth. The system is powered by a battery, ensuring functionality even when the vehicle's main power fails during a collision. This real-time monitoring and alert mechanism provides a cost-effective and practical solution for improving vehicle safety, especially in areas with limited access to immediate medical support or rescue services. The modularity of the system allows for future upgrades such as GPS integration, GSM for SMS alerts, and mobile app connectivity for live tracking. It is particularly beneficial for private vehicles, public transportation, and fleet management. Overall, the system contributes to minimizing accident severity, saving lives, and providing valuable data for post-accident analysis. This innovative approach demonstrates the effective use of embedded systems and sensors in building safer and smarter transportation systems. Keywords: Vehicle safety, Accident detection, ESP32, IoT, Gyroscope sensor, MQ3 Alcohol sensor, Ultrasonic sensor, Alert system, Real-time monitoring, Embedded system, Wireless communication, Alcohol detection, Tilt sensor, Buzzer alert, LCD display.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Pakistan Telecommunication Company (Pakistan) (PK)
Openalex Percentile: Top 93%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.