ROAD SIGN RECOGNITION SYSTEM FOR AUTONOMOUS VEHICLE USING RASPBERRY PI

Abstract

Due the growing extent of autonomous vechicle, dependable and current traffic sign recognition technologies are needed.. Road signs provide essential information for safe driving, including speed limits, stop signals, and pedestrian crossings, and their reliable detection is crucial for autonomous decision-making. This paper presents the design and implementation of a low-cost, embedded road sign recognition system using a Raspberry Pi, a camera module, and a motor driver circuit that controls the vehicle’s movement. Road sign images are captured through a camera and processed using computer vision techniques in combination with machine learning or deep learning models for classification. Based on the recognized sign, the Raspberry Pi generates appropriate control signals to the motor driver for vehicle navigation, enabling functions such as stopping, turning, and speed regulation. The proposed system demonstrates real-time processing capabilities with high classification accuracy while maintaining affordability and scalability. This work contributes toward the development of intelligent transportation systems and provides a practical framework for education, research, and prototypelevel autonomous driving applications.