• Sheena Chopra

Driver errors and carelessness are main cause of road accident nowadays. The major errors of drivers are concerned drowsiness, drunken and reckless behavior of the driver. This paper focuses on driver drowsiness detection based on eye by using Digital Image processing technique. The proposed system is a non intrusive driver drowsiness monitoring system that is able to detect drowsiness of driver in wearing spectacles and dim light level. The proposed system is implemented or tested by using webcam to capture image then face and eye detection techniques used. The intensity of eye blinking area is checked to determine whether eye is close or open. A alarm is made on eye close condition. The samples are collected from left side, right side and with spectacles. The accuracy of the system is 98% and time taken to perform a sample is 30-50 sec.. which is quite satisfactory.

Digital Image Processing, MATLAB, Face recognition.

"Drowsy Driver Detection Based on Eye By Using Digital Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.262-268, February-2021, Available :http://www.jetir.org/papers/JETIR2102029.pdf

"Drowsy Driver Detection Based on Eye By Using Digital Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp262-268, February-2021, Available at : http://www.jetir.org/papers/JETIR2102029.pdf