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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58102
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Road accidents remain one of the leading causes of fatalities worldwide, often resulting from overspeeding, drunk driving, driver fatigue, and insufficient monitoring of driver behavior. Traditional vehicle black box systems primarily focus on post-accident analysis and provide limited support for real-time prevention. A smart vehicle black box system designed to enhance road safety through continuous monitoring and automated traffic enforcement. The system integrates a vehicle-side module equipped with sensors such as alcohol detectors, drowsiness detection systems, ultrasonic distance sensors, and inertial measurement units, along with a black box module for secure data logging and alert generation. An ESP32-CAM captures visual evidence of traffic violations and transmits it to a web-based backend via Wi-Fi. The backend processes the collected data, stores time-stamped event logs, and automatically generates challans accessible through a monitoring dashboard. Experimental results demonstrate that the system effectively detects multiple types of violations and provides reliable supporting evidence. Overall, DriveSafe offers a scalable and cost-effective solution for improving road safety and enabling intelligent traffic management.
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Publication Date
3/23/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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