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

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.