About This Project
This project focuses on developing a computer vision-based Android application that can detect and identify traffic signs in real-time. The system uses advanced machine learning algorithms to recognize various traffic signs and provide relevant information to drivers.
The application employs YOLO V4 (You Only Look Once) for real-time object detection, combined with Optical Character Recognition (OCR) using Tesseract technology to read text on signs. This dual approach ensures high accuracy in both detecting the presence of signs and understanding their content.
A comprehensive comparative study of supervised machine learning algorithms was conducted to determine the best approach for sign detection. The final implementation achieves high-performance outputs with minimal latency, making it suitable for real-world driving scenarios.