Smartphone-based drowsiness detection system for drivers in real-time

No one knows the exact moment when sleep overcomes the senses. A drowsy driver at the wheel of a vehicle on the street can give rise to highly unsafe traffic situations and lead to extremely severe accidents. So being alert during driving becomes one of the key factors to a safe drive. Our proposed system can be used to monitor the state of driver's alertness by taking into account his behavioral as well as physiological factors. While the behavioral part is monitored in real time through image processing with the help of the camera on smartphones, the physiological monitoring relies on a heartbeat monitoring device called Zephyr. With the help of machine learning, we have identified patterns in the behavioral and physiological factors that together helps to identify drowsy states from alert states for explicitly during driving.