Intelligent Driver Monitoring system for Autonomous Vehicles
The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides feedback to improve road safety. The system can be part of a larger Road Safety ECO system sharing data between driver and organisations (Smart City).
An unofficial PyTorch implementation of the 3MDAD dataset
Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sensory wake-up cue to increase the user's chance of being roused from sleep.
A basic driver monitoring system using cv2 and mediapipe, written in python
AI-powered driver monitoring system that detects phone use, yawning, and sleep to help prevent road accidents.
A real-time Raspberry Pi system for detecting driver drowsiness and vehicle crashes using facial landmarks, head pose, and motion sensors. Sends GPS-based emergency SMS alerts via Twilio and displays live driver status on an LCD.
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