• Mr.R. Shanmugasundaram
• Mythili K, 3Kishore Akash YS
• Arunkumar S
• Karthickraja S

Driving while drowsy is a significant cause of accidents on the road. Many companies have developed AI-based solutions to detect drowsiness in drivers, but these solutions only alert the driver and do not offer an alternative solution to keep the driver and others on the road safe. Our proposed solution offers a comprehensive approach to this problem by combining drowsiness detection with autonomous driving. The system uses facial recognition, eye tracking, and sensors to monitor the driver's behavior and determine when they are too drowsy to continue driving. When the system detects drowsiness, it automatically switches to autonomous driving mode, taking control of the vehicle and ensuring the safety of the driver and other road users. The system is designed to be user-friendly and can be integrated into existing cars or installed as an aftermarket accessory. The advanced machine learning algorithms used in the system can analyze a large amount of data in real-time, detecting patterns such as blinking frequency, head nodding, and yawning to determine the level of drowsiness in the driver. One of the main advantages of our proposed solution is that it provides an additional layer of safety for the driver and others on the road. The autonomous driving mode ensures that the vehicle continues to move safely even when the driver is unable to control it. This reduces the risk of accidents caused by drowsy or fatigued drivers. In conclusion, our proposed AI-based system offers a comprehensive solution to the problem of drowsiness while driving. It not only detects drowsiness but also provides an automatic driving mode to ensure the safety of the driver and others on the road. With the rise of autonomous driving technology, this solution has the potential to revolutionize the way we drive and make our roads safer for everyone.

OpenCV, Landmarks detection, Artificial Intelligence, Real-time image processing.

"AI-based Drowsiness Detection and Autonomous Driving: Enhancing Road Safety", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.71-77, June-2023, Available :http://www.jetir.org/papers/JETIRFZ06012.pdf

"AI-based Drowsiness Detection and Autonomous Driving: Enhancing Road Safety", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. pp71-77, June-2023, Available at : http://www.jetir.org/papers/JETIRFZ06012.pdf