Driver Drowsiness detection using AI

Driver Drowsiness detection using AI

Author Name : Rohan Chopra, Ashish Lathkar, Souporno Ghosh, Anshul Bansod, Sonali Sanjay Kubde, Midde Rahil Rehan, Kosti Gowri Sai Madhurya

ABSTRACT

Driver fatigue is one of the primary reasons of accidents in the world. Detecting the drowsiness of the driver is one of the surest approaches of measuring driver fatigue. In this project we aim to develop a drowsiness detection device. This device works through tracking the eyes of the driver and sounding an alarm while he/she is drowsy.

The system so designed is a non-intrusive real-time monitoring device. The priority is on improving the safety of the driver without disturbing him. Eye blink of the driver is detected in our project. If the driver eyes continue to be closed for more than a certain duration of time, the driver is said to be drowsy and an alarm is sounded. The programming for that is achieved in OpenCV using the Haarcascade library for the detection of facial features.