Computer vision based smart overspeeding vehicle surveillance system

In India, overspeeding causes more than 60% of deaths. Therefore, we need a system that tracks the median speed of cars and identifies those who regularly violate the law. Road fatalities can be reduced as a result of maintaining law and order. In this paper, we present an embedded system that can read the license plates of passing cars in real time. Using optical character recognition technology, the proposed system will capture images of license plates. In addition, it sends short message service (SMS) notifications regarding the highway speed of a specific moving vehicle violating the rules to the relevant authorities. By using this technique, several manual operations that were previously required to detect over-speeding automobiles with RADAR guns are eliminated. On the roadway, the device can only be operated by one operator due to its well-developed user interface. As part of this work, a downloadable database is developed which includes information about speeding vehicles as well as vehicles travelling on a roadway at the moment they are detected.

Authors

Institutions

Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-09-09
DOI
https://doi.org/10.11591/ijece.v15i5.pp4740-4750
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computer vision based smart overspeeding vehicle surveillance system

M. Shanmugasundaram, Boopalan Ganapathy, Budhaditya Bhattacharjee, Pragyendra Pragyendra
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Vehicle License Plate Recognition
article

Computer vision based smart overspeeding vehicle surveillance system

M. Shanmugasundaram, Boopalan Ganapathy, Budhaditya Bhattacharjee, Pragyendra Pragyendra
article en

Abstract

In India, overspeeding causes more than 60% of deaths. Therefore, we need a system that tracks the median speed of cars and identifies those who regularly violate the law. Road fatalities can be reduced as a result of maintaining law and order. In this paper, we present an embedded system that can read the license plates of passing cars in real time. Using optical character recognition technology, the proposed system will capture images of license plates. In addition, it sends short message service (SMS) notifications regarding the highway speed of a specific moving vehicle violating the rules to the relevant authorities. By using this technique, several manual operations that were previously required to detect over-speeding automobiles with RADAR guns are eliminated. On the roadway, the device can only be operated by one operator due to its well-developed user interface. As part of this work, a downloadable database is developed which includes information about speeding vehicles as well as vehicles travelling on a roadway at the moment they are detected.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 15(5)
Vellore Institute of Technology University (IN)
VIT University
Openalex Percentile: Top 64%
Vehicle License Plate Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Computer vision based smart overspeeding vehicle surveillance system — M. Shanmugasundaram, Boopalan Ganapathy, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2025) | TGRS Research Map | TGRS