• Ch. Sai Murali Krishna
• M. Lenin Babu
• D. Praneeth Kumar
• K. Jayaram
• K.Aravind Swamy

In recent years, one of the main contributors to car accidents around the globe has been driver weariness. Drowsiness in the driver can be used as a direct indicator of driver fatigue. To protect people and property, it is crucial to identify driver sleepiness. The project's objective is to develop a prototype sleepiness detection system. This real-time system continuously takes pictures, measures the condition of the mouth (MAR) and eye (EAR) by the predetermined methodology, and issues a warning when necessary. Although there are other ways to measure tiredness, this method is non-intrusive and has no negative effects on the driver, thus it provides an accurate picture of their state. The value of the mouth and eye closures is taken into account for the identification of tiredness. The driver is therefore classified as tired or drowsy when the eye closing and yawning last longer than a predetermined period. Dlib is one of the OpenCV libraries used to construct this system.

MAR, EAR, DLIB, OpenCV

"Alerting System For Accidents Caused By Sleep Deprivation and Exhaustion Using Python With Webcam And Mobile Cam", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.d579-d584, February-2023, Available :http://www.jetir.org/papers/JETIR2302370.pdf

"Alerting System For Accidents Caused By Sleep Deprivation and Exhaustion Using Python With Webcam And Mobile Cam", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppd579-d584, February-2023, Available at : http://www.jetir.org/papers/JETIR2302370.pdf