Real-Time Traffic Sign Recognition Using CNN and Flask-Based Web Application
Real-Time Traffic Sign Recognition Using CNN and Flask-Based Web Application
Authors:
1 Sumit K. Lokhande, 2 Pritish P. Bisne
1 Sumit K. Lokhande Master of Computer Application, Trinity Academy Of Engineering, Pune, India
2 Pritish P. Bisne of Master of Computer Application, Trinity Academy Of Engineering, Pune, India
Abstract - This research presents a real-time Traffic Sign Recognition (TSR) system combining deep learning and web technologies to enhance road safety. The model uses Convolutional Neural Networks (CNNs) for accurate sign classification and is trained on the GTSRB dataset. A Flask-based web interface allows real-time detection using webcam input. The system achieves 98.90% test accuracy with minimal latency, making it practical for intelligent vehicle applications.
Key Words: Traffic Sign Recognition, CNN, Flask, GTSRB, Real-Time Detection, OpenCV, AI, Deep Learning, Web App, Automation