ISSN: 2265-6294

AUTOMATED DETECTION OF HELMET VIOLATIONS USING DEEP LEARNING IN TRAFFIC REGULATION SYSTEMS

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P. Deepthi , T. Shiva Prasad, T. Bhanu Prakas , G. Uday Sai Teja , J. Vinay

Abstract

In the current situation, India faces numerous challenges in traffic regulations that can be mitigated through innovative solutions. Riding motorcycles or mopeds without wearing a helmet is a prevalent traffic violation that has led to an increase in accidents and fatalities. The existing system primarily relies on CCTV recordings to monitor traffic violations, requiring traffic police to identify the violation and zoom in on the license plate if the rider is not wearing a helmet. This process demands significant manpower and time due to the frequent traffic violations and the rising number of motorcycle users. An automated system that detects helmet violations and extracts the vehicle's license plate number would significantly enhance efficiency

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