Road Safety For Two-wheeler Riders Remains A Critical Issue Due To Frequent Non-compliance With Helmet-wearing Regulations, Leading To Numerous Road
Fatalities, This Report Presents An Advanced Traffic Monitoring System That Utilizes Machine Learning To Automatically Detect Helmet Violations, Recognize
Vehicle Number Plates, And Calculate Fines. Real-time Helmet Detection Is Achieved Using YOLOv5, While CNN And OCR Are Employed For Reading
Number Plates. Upon Detecting A Violation, The System Captures The Vehicle's Plate, Calculates Fines According To Predefined Rules, And Stores The Data For
Further Action. Designed To Operate Under Various Lighting And Environmental Conditions, The System Aims To Enhance Traffic Management, Reduce
Accidents, And Ensure Compliance With Minimal Human Involvement.
