• Gunjana K E
• Deepa G Warad
• Gokul B M
• Jaswanth Alluri
• Dr. Suresh L

License plates are crucial for the identification of motor vehicles, typically issued by government entities. The rise of counterfeit plates presents significant challenges, enabling illegal activities and evading law enforcement, which ultimately jeopardizes public safety. Traffic regulations are designed to safeguard all road users, with violations posing risks to drivers, pedestrians, and cyclists alike. This paper proposes an innovative system for detecting and documenting counterfeit or altered registration plates. Current detection methods have notable limitations that this system addresses. Key features include real-time monitoring, maintenance of an up-to-date database of valid plates, and integration with traffic cameras and toll systems. Furthermore, the system will utilize machine learning algorithms to improve detection accuracy by identifying patterns indicative of counterfeit plates. By connecting to a national vehicle database, the system will remain current with new registrations and flagged offenders.

License plates, counterfeit detection, public safety, traffic regulations, real-time monitoring, machine learning, vehicle database, law enforcement, YOLO.

"Fake Registration Plate and Traffic Rules Violation Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.g228-g232, November-2024, Available :http://www.jetir.org/papers/JETIR2411619.pdf

"Fake Registration Plate and Traffic Rules Violation Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppg228-g232, November-2024, Available at : http://www.jetir.org/papers/JETIR2411619.pdf