IIT Ropar develops algorithm for driver drowsiness detection

We used hand-engineered features based on human facial expressions, say researchers

The Indian Institute of Technology, Ropar, has developed an algorithm for driver drowsiness detection using machine learning and computer vision. A study titled ‘Machine Learning Models for Drowsiness Detection’ jointly published by Harshit M and J.M.P. Ganesh of the Department of Mechanical Engineering and Dr. Ashish Sahani of the Center for Bio-Medical Engineering says they used computer vision algorithms to extract facial features such as eye closure and yawning, followed by machine learning techniques to effectively detect driver’s alertness. It is an industrial and academic challenge to develop drowsiness detection technologies. Multiple techniques have been developed in recent years.