Design of driver fatigue warning system based on facial multi-feature fusion

This project develops a driver fatigue warning system based on facial multi-feature fusion. Through real-time monitoring and analysis of the driver's eye movement, mouth expression, head posture and other multi-dimensional facial features, advanced image processing technology and deep learning algorithms are used to fuse and process these data. The system can effectively identify the driver's fatigue state and issue a real-time warning during the driving process, to help the driver take timely measures to avoid traffic accidents caused by fatigue driving. The application of this system, it is expected to improve road traffic safety, reduce the potential risks caused by fatigue driving, and help build a safer driving environment.