Road Sign Recognition

Road Sign Recognition System is a project based on Machine Learning, Deep Learning (Convolutional Neural Network) and Computer Vision. The Road Sign Recognition project is an innovative and technologically advanced solution designed to enhance road safety and traffic management. Leveraging cutting-edge computer vision and machine learning techniques, this system is specifically engineered to identify and interpret road signs with high accuracy in real-time.

Link to the Traffic Sign Dataset

Key Features

1. High Accuracy (95%)
2. Comprehensive Sign Recognition
3. Adaptability to the Environmental Conditions
4. Multi Class Recognition
5. Deep Learning Models

Technology Used

1. Python
2. OpenCV
3. Deep Learning Algorithm (CNN)
4. Flask
5. Web Skills (Html, Css, JS)

Contact

For any feedback or queries, please reach out to me at LinkedIn