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Non Helmet and Number Plate Detection

Author(s):

Patil Durvesh Sanjay , M.V.P.S Rajrshi Shahu Maharaj Polytechnic; Dalal Yadnyesh Sachin, M.V.P.S Rajrshi Shahu Maharaj Polytechnic; Patil Atharva Sahebrao , M.V.P.S Rajrshi Shahu Maharaj Polytechnic; Patil Vishal Suresh, M.V.P.S Rajrshi Shahu Maharaj Polytechnic

Keywords:

Number Plate Recognition Road Safety Traffic Monitoring Road Safety Computer Vision OCR (Optical Character Recognition)

Abstract

This project focuses on an automated system to detect traffic rule violations, specifically targeting riders without helmets and those breaking traffic signals. The system leverages computer vision and machine learning techniques to identify violations in real-time. It integrates helmet detection, signal monitoring, and Optical Character Recognition (OCR) for number plate extraction. When a violation is detected (e.g., a rider without a helmet breaking a signal), the system captures an image of the vehicle and extracts the number plate details. These details are stored in an Excel file for further processing or enforcement actions. The solution aims to enhance road safety and improve compliance with traffic regulations through non-intrusive, automated monitoring.

Other Details

Paper ID: IJSRDV12I90128
Published in: Volume : 12, Issue : 9
Publication Date: 01/12/2024
Page(s): 146-148

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