Proceedings of the Multimedia University Engineering Conference (MECON 2022)

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Smart Vehicle Surveillance System for Road Accidents Detection

Authors
Yew-Keong Sin1, 1, *, Chin-Hean Law1, Ming-Yue Tan1
1Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100, Cyberjaya, Selangor, Malaysia
*Corresponding author. Email: yksin@mmu.edu.my
Corresponding Author
Yew-Keong Sin
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-082-4_32How to use a DOI?
Keywords
Smart Vehicle; Crash Detection; Piezoelectric Sensors; Arduino; Internet of Things
Abstract

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.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Multimedia University Engineering Conference (MECON 2022)
Series
Advances in Engineering Research
Publication Date
23 December 2022
ISBN
978-94-6463-082-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-082-4_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yew-Keong Sin
AU  - Chin-Hean Law
AU  - Ming-Yue Tan
PY  - 2022
DA  - 2022/12/23
TI  - Smart Vehicle Surveillance System for Road Accidents Detection
BT  - Proceedings of the Multimedia University Engineering Conference (MECON 2022)
PB  - Atlantis Press
SP  - 367
EP  - 376
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-082-4_32
DO  - 10.2991/978-94-6463-082-4_32
ID  - Sin2022
ER  -