Scientists use biometrics, behavior analysis for drunk driver detection

Scientists at the University of Michigan have introduced a cost-effective hardware approach that leverages current technologies, incorporating cameras equipped with facial recognition and analysis features.

This method integrates conventional Advanced Driver Assistance Systems (ADAS) cameras that are used to monitor various aspects of driver behavior and alertness, with either infrared LiDAR or structured light 3D cameras, which capture detailed 3D images and measurements.

“You already see these 3D camera technologies in products like smartphones, tablets, and mixed reality devices,” says …

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