Raspberry Pi: A Cost-Effective System for Real-Time Number Plate Recognition using Rear-View Cameras

Résumé fourni par la source

In today's traffic management landscape, precise vehicle identification via number plate detection is vital for road safety and regulatory compliance. This strategy focuses on creating a robust detection system using Raspberry Pi and rear-view cameras for real-time monitoring. Utilizing custom canny edge detection algorithms optimized for Raspberry Pi's computational capabilities ensures accurate number plate recognition(NPR) from live video feeds. Integration of rear-view camera hardware with Raspberry Pi involves setup, configuration, and optimization for seamless communication and enhanced functionality. The paper aims to advance road safety and traffic management through a cost-effective solution for automatic vehicle identification. By combining Raspberry Pi technology with rear-view cameras, the goal is to establish new standards, enabling proactive measures to reduce risks on roads and highways.

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