• Mohit Kumar
• Diksharth
• Sneha Aggarwal
• Taniya Arora

Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according to the experts. This paper presents a solution for detecting driver drowsiness state in real time, based on eye condition. The system tends to use a camera to capture a series of image. These capture image may be stored as a individual frames in our system. The frame so formed are provided as input to face detection software. Then our required feature(eye) is extracted from the image. On each eye the system establishes a condition and suggest a specific number of frames with the same eye condition that may be registered.

Drowsiness detection, face detection, eye detection.

"DROWSINESS DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.139-141, January-2021, Available :http://www.jetir.org/papers/JETIR2101022.pdf

"DROWSINESS DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp139-141, January-2021, Available at : http://www.jetir.org/papers/JETIR2101022.pdf