| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01096 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/matecconf/202439201096 | |
| Published online | 18 March 2024 | |
Helmet and number plate detection
1 Computer Science & Engineering Department, KG Reddy college of Engineering & Technology, Moinabad, Hyderabad, Telangana, India
2 Department of IT, GRIET, Hyderabad, Telangana, India
3 Lovely Professional University, Phagwara, Punjab, India.
* Corresponding author: r.swapna.k@gmail.com
Motorcyclists failing to wear helmets is one of the main reasons why people die in these kinds of crashes. Traditional approaches to ensuring motorcycle riders wear helmets include traffic police manually monitoring intersections or using CCTV footage to detect riders who are not wearing helmets. These techniques, however, necessitate a great deal of human labor and involvement. This system suggests using CCTV footage to automatically recognize non-helmeted motorcyclists and obtain their license plate information. Initially, the system classifies items in motion as either motorbikes or non-motorcycles. The system determines whether or not classed motorcycle riders are wearing helmets. The device uses an OCR technique to obtain the license plate number if the biker is not wearing a helmet.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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