Camera system can detect alcohol intoxication on the faces of drivers
A camera-based system that can identify drunk drivers just by analysing their faces has been developed by researchers at Edith Cowan University (ECU). A series of videos were taken of people in a driving simulation who were in various levels of alcohol intoxication – sober, low intoxication and severely intoxicated. The team developed a machine learning system that uses discernible cues from standard RGB (red, green and blue) videos of the drivers’ faces to gauge the degree of alcohol-related impairment. These included facial features, gaze direction and head position. “Our system detects varying levels of alcohol intoxication impairment, with an overall accuracy of 75% for the three-level classification,” ECU PhD student Ensiyeh Keshtkaran said. “This not only benefits vehicles equipped…