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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58102

Drivesafe: Smart Black Box for Real-Time Driver Monitoring and Automated Law Enforcement

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58102

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58102

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.

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Authors

JJ

Joe Joseph

SJ

Stelbin Joy

AS

Angel Sibi

RLCK

Rohit Lal C K

SV

Sreevalsan V

APAAP

Asst. Prof. Athulya A P

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Full Articles

Abstract

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.

KEYWORDS

Smart Vehicle Black Box System Driver Monitoring Traffic Violation Detection ESP32-CAM IoT Automated Challan Road Safety.

Cite This Article

Joe Joseph, Stelbin Joy, Angel Sibi, Rohit Lal C K, Sreevalsan V, Asst. Prof. Athulya A P, "Drivesafe: Smart Black Box for Real-Time Driver Monitoring and Automated Law Enforcement," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58102

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Publication Date

3/23/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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