Current Volume 9
Abstract
This report presents a real-time object detection system for identifying motorcyclists without helmets and detecting vehicle number plates using the YOLO (You Only Look Once) algorithm. The primary objective is to enhance road safety and aid law enforcement by automating the surveillance process. The model is trained using a dataset consisting of annotated images of motorcyclists with and without helmets, as well as vehicles with visible number plates. YOLO’s fast and accurate detection capabilities enable efficient identification of both safety violations and vehicle registration details. The system successfully detects and classifies helmet usage and localizes number plates in real-time, making it suitable for deployment in smart traffic monitoring systems. The results demonstrate high precision and recall, confirming YOLO’s effectiveness in multi-object detection tasks within the traffic surveillance domain.
Citations
IRE Journals:
Pawan Kumar Singh , Syed Md Sheeraz , Udit Singh , Madhup Agrawal
"Helmet and Number Plate Detection" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 2085-2108
IEEE:
Pawan Kumar Singh , Syed Md Sheeraz , Udit Singh , Madhup Agrawal
"Helmet and Number Plate Detection" Iconic Research And Engineering Journals, 8(11)
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