Vehicle Accident Detection System using Internet of Things (VADS -IoT)


Singh, Jasspeed and Velu, Vengadeshwaran and Nirmal, Umar (2021) Vehicle Accident Detection System using Internet of Things (VADS -IoT). In: 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 3-4 April 2021, Penang, Malaysia.

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This paper aims to improve the response time of the emergency response department to be informed on vehicle accidents in Malaysia. The primary impact of this work was to reduce the waiting period for accident victims to receive medical assistance and be rescued from a catastrophic vehicle accident. The conceptual idea of achieving this was by accommodating sensors and a microcontroller in a vehicle to compute the displacement of the vehicle. The system was developed using a vibration sensor to determine the collision impact of an accident and a gyro sensor to determine the x-y displacement of the vehicle. When an accident occurs, the instantaneous coordinates of the vehicle will be captured using a GPS module and transmitted to the emergency response department via a GSM module. The coordinates are visualized on a registered mobile phone at the emergency response department and mirrored to a desktop's Pushbullet application. With that, necessary emergency response units can be deployed to the accident location. The outcome of this project utilizes a gyro sensor to monitor angles between 45° − 315° and a vibration sensor at collision impact frequency of more than or equal to 90 Hz. The prototype can be a viable system to be incorporated by vehicle manufacturers in Malaysia to improve the safety features of a vehicle and ensure a better reliability of vehicle accident detection and reporting system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Internet of Things
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 14 Jul 2021 08:44
Last Modified: 14 Jul 2021 08:44


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