DOI :10.46335/IJIES.2024.9.3.7
Authors : Rahul bhandekar, Manish Tembhare, Himanshu Pardhi, Pranali Dekate, Shivani Amrute
Abstract – This abstract introduces an advanced drowsiness detection system leveraging cutting-edge artificial intelligence (AI) technologies. Drowsy driving significantly threatens road safety, leading to accidents, injuries, and fatalities worldwide. To address this critical issue, our research pioneers a novel approach that combines computer vision and machine learning to develop a proactive drowsiness detection system. Our system utilizes a multi-modal sensor setup, including facial recognition, eye tracking, and steering wheel monitoring, to assess the driver's state continuously. By analyzing facial expressions, eye movements, and steering behavior, the AI model can accurately identify signs of drowsiness in real time. The system's robustness is demonstrated through extensive testing under various driving conditions, including day and night scenarios, diverse weather conditions, and varying road types.
