Driver Monitoring based on Drowsiness and Yawning using YOLOv8
Published in 2024 International Conference on Current Trends in Advanced Computing (ICCTAC), 2024
This paper proposes a novel approach to enhance safety by addressing these issues through the identification of drowsy eyes and yawning using state-of-the-art deep learning models.
Recommended citation: S. S. Aote, K. Tank, A. Khanna, V. Padole and A. Rewatkar, "Driver Monitoring based on Drowsiness and Yawning using YOLOv8," 2024 International Conference on Current Trends in Advanced Computing (ICCTAC), Bengaluru, India, 2024, pp. 1-6, doi: 10.1109/ICCTAC61556.2024.10581349. keywords: {Visualization;Prevention and mitigation;Computational modeling;Road safety;Real-time systems;Safety;Usability;Driving hypnosis;Drowsiness detection;YOLOv8;Samruddhi Mahamarg;Road safety;Accident prevention Introduction},.
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