• Sneha K N
• Dr. Shamshekhar S Patil

Driver fatigue is a significant contributor to road accidents, leading to severe injuries and fatalities. This research proposes a real-time fatigue detection system that utilizes computer vision techniques to monitor and analyses the driver's behavioral characteristics. By tracking facial features such as eye closure, eyelid movement, and head pose, the system can accurately assess the driver's alertness level. In this task, we propose a machine, which detects the motive force’s fatigue fame, which include yawning, blinking, yawn counts, EAR AND MAR ratio and so forth., the use of video images and real time video streaming without equipping their bodies with devices. In this examine, we advise a technique to come across motive force’s drowsiness from a video taken via a digicam or webcam. This technique attempts to recognize the face and the detecting the eye and mouth in every frame. Further, we designed a new detection method for facial areas based on 68 key factors, referred to as facial landmarks. If the motive force shows any signs and symptoms of drowsiness, alert message will be displayed to prompt the driver to take necessary breaks or rest. This system aims to enhance road safety by reducing accidents caused by driver fatigue and promoting responsible driving habits.

"FATIGUE DETECTION SYSTEM BASED ON BEHAVIOURAL CHARACTERISTICS OF DRIVER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.b757-b769, November-2024, Available :http://www.jetir.org/papers/JETIR2411193.pdf

"FATIGUE DETECTION SYSTEM BASED ON BEHAVIOURAL CHARACTERISTICS OF DRIVER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppb757-b769, November-2024, Available at : http://www.jetir.org/papers/JETIR2411193.pdf