Every year many people die in road accidents. One of the reasons on the deaths caused by road accidents is the victims do not receive treatments within the golden hour. Hence, the detection of road accidents can help in reducing the number of deaths caused by road accidents. There are solutions to detect road accidents, such as implementation traffic management system, using sensors in smart phones and analyzing data from vehicle’s sensors. In this project, Smart Vehicle Surveillance System (SVSS) is proposed to detect road accidents. Piezoelectric sensors play the role as vehicle’s sensors in SVSS. Arduino Mega 2560 microcontroller serves as the control unit to receive and analyze signal. GPS module tracks the car’s location, while GSM/GPRS module connects SVSS to mobile data network. Furthermore, Blynk IoT mobile application notifies the subscribers of SVSS if the occurrence of road accidents is identified and the driver needs help. This prototype is our initial idea in detection of road accidents. Industrial involvement can improve the practicality and implantable of SVSS in a car.


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    Title :

    Smart Vehicle Surveillance System for Road Accidents Detection


    Additional title:

    Advances in Engineering res


    Contributors:

    Conference:

    Proceedings of the Multimedia University Engineering ; 2022 ; Cyberjaya and Melaka, Malaysia July 25, 2022 - July 27, 2022



    Publication date :

    2022-12-23


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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    Desai, Gargi / Ambre, Vishal / Jakharia, Sagar et al. | IEEE | 2018


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    Cornelius, E.H. | Engineering Index Backfile | 1945