Abstract
This research paper is proposed a real-time monitoring of drowsiness of the driver, to forestall accidents. With the expansion in population, there has been an incredible increase in road accidents. In India, around 60% of the accidents are caused because of driver fatigue. So, this paper is proposed to detect drowsiness of drivers by capturing video frames of eye closure patterns. This system consists of a small security camera pointing directly into the driver's face. It monitors the eyes of the driver and their closure patterns. The face area and position of eyes are pinpointed by the Viola–Jones object detection algorithm. It uses a 6-coordinate of eye to seek out whether eyes are close or open, using a Haar cascade classifier. When 20 consecutive frames are detected with eyelids aspect ratio less than 0.25, then the system comes to a result that the driver is drowsy and issues an alert.
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Kumar, R., Rathore, H., Agrawal, P., Gupta, P. (2021). Drowsiness Detection Using Viola–Jones Object Detection Algorithm for Real-Time Data. In: Bhateja, V., Satapathy, S.C., Travieso-González, C.M., Aradhya, V.N.M. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 1407. Springer, Singapore. https://doi.org/10.1007/978-981-16-0171-2_35
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DOI: https://doi.org/10.1007/978-981-16-0171-2_35
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