Drivers often engage in secondary activities that divert attention from driving, increasing accident risks. This study uses deep learning, specifically Squeeze Net 1.1, to detect visual and cognitive distractions through camera-based monitoring of the driver’s face, hands, and body. Comparative analysis of algorithms shows ResNet offers the best accuracy. The system effectively ...