AI-Based Automatic Number Plate Recognition for Smart Traffic Management

Abstract

The number of vehicles on the road is increasing very fast, making people obey the law and to control traffic control are more difficult. To solve this problem, our system introduces an AI-based Number Plate Recognition system for smart traffic management. The system uses computer vision and deep learning to automatically detect and read vehicle number plate from images and live video. The system can correctly identify number plates even in different lighting and moving conditions. The extracted plate information is stored and connected to a vehicle database. This helps monitor traffic violations such as over-speeding, illegal parking, and identifying stolen vehicles. It can also send real-time alerts to traffic officials for quick action. This automated and cost-effective system improves surveillance, reduces manual work, and supports smart city development through intelligent and efficient traffic management