• Rayyan Lambe
• Muskan Khan
• Abdul Hadi Khan

The "Automated Drivers Drowsiness Detection System" project aims to develop a system that can automatically detect drowsiness in drivers to enhance road safety. The system will utilize various sensors, such as cameras and physiological sensors, to monitor driver behavior and vital signs. Through real-time data analysis, it will identify signs of drowsiness, such as yawning, drooping eyelids, and changes in heart rate, and trigger alerts or interventions to keep the driver awake and alert. This project addresses a critical issue in road safety by leveraging technology to reduce the risk of accidents caused by drowsy driving.

"Automated Driver’s Drowsiness Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.c80-c83, February-2024, Available :http://www.jetir.org/papers/JETIR2402213.pdf

"Automated Driver’s Drowsiness Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppc80-c83, February-2024, Available at : http://www.jetir.org/papers/JETIR2402213.pdf