Vigil is a traffic accident detection system that uses computer vision and machine learning to analyze live traffic camera feeds. The core idea is to build a system that extract video frames from a large number of traffic cameras, runs it through a computer vision model that detects car accidents and then notify a user interface. Follow along the journey of building this project in my newsletter Calculated Randonmess.
We welcome contributions! Please see our Contributing Guidelines for more details.
This project is licensed under the MIT License - see the LICENSE file for details.