Abstract
Road accidents are common often leading to serious injuries and often death. There are several causes of road accidents. Fatigue and drowsiness in drivers being one of the prime causes. Being a potential cause for danger on the road, one of the best ways to prevent this is to implement a drowsiness detection system. The proposed work implements a driver drowsiness detection system based on computer vision. A webcam is used to capture the face of the driver, and eye aspect ratio of the driver is used to detect if the driver is sleepy. An alcohol alert module (based on Arduino ethanol gas sensor MQ3) is also included. The system will alert the driver with alarms if the driver is found in drowsy state, and a message will be sent to the owner of the vehicle in case driver is drowsy or drunk. The owner will also be able to remotely monitor the activities of the driver.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Mahapatra, P., Raj, S., Biswas, A. (2023). Driver Drowsiness Detection System. In: Dhar, S., Do, DT., Sur, S.N., Liu, H.CM. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-19-2004-2_33
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DOI: https://doi.org/10.1007/978-981-19-2004-2_33
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