International Journal of Electronic Devices and Networking
2025, Vol. 6, Issue 2, Part A
Accident detection & alert system for 2-wheel vehicles using helmet
Author(s): Shreyansh Kumar Singh, Devansh Upadhyaya, Megha Dadel and Shiv Kumar Choubey
Abstract:
The rise in vehicles has increased the rate of road accidents which are playing one of the major roles in causing life loss. Moreover, poor emergency facilities enhance risk of severity caused by an accident. The severity can be brought down by providing medical facilities at right time.
The proposed work is based on a system which integrates MQ-3, Eye Blink Sensor, Ultrasonic Distance Sensor and Arduino UNO. MQ-3 helps in detection if the driver is drunk or sober or not and turn off the motor. Eye Blink Sensor detects the sleep state of the driver and turn off the motor in case the driver is in sleep state. Ultrasonic Distance Sensor provides alert for the nearby vehicle approaching towards the driver.
The objective of this system is to provide adequate help in definite time frame and reducing the risk of accident.
DOI: 10.22271/27084477.2025.v6.i2a.76
Pages: 01-06 | Views: 106 | Downloads: 40
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How to cite this article:
Shreyansh Kumar Singh, Devansh Upadhyaya, Megha Dadel, Shiv Kumar Choubey. Accident detection & alert system for 2-wheel vehicles using helmet. Int J Electron Devices Networking 2025;6(2):01-06. DOI: 10.22271/27084477.2025.v6.i2a.76
