Abstract
The main goal of this project is to develop a non-intrusive system for vehicles that can find the driver’s tiredness and concern a warning with time. Because there are a great number of traffic accidents due to fatigue of the drivers, this system aspires to avoid many crashes on roads, thus saving money and minimizing personal suffering. The proposed system continually monitors the driver’s mouth, eye, and head through the real-time camera which is focused at the driver’s face. The changes in mouth and eyes are analyzed and then processed to find the tiredness of the drivers and also to send alarm. This approach is simple and less complex as no training is required compared to the existing approaches. Three possible cases such as eye closure, yawing, and head tilt are considered for fatigue detection of the driver. Therefore, this approach helps to anticipate the fatigue of the driver and also gives a warning output in the form of alarm.
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Raju, J.V.V.S.N., Rakesh, P., Neelima, N. (2020). Driver Drowsiness Monitoring System. In: Reddy, A., Marla, D., Simic, M., Favorskaya, M., Satapathy, S. (eds) Intelligent Manufacturing and Energy Sustainability. Smart Innovation, Systems and Technologies, vol 169. Springer, Singapore. https://doi.org/10.1007/978-981-15-1616-0_65
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DOI: https://doi.org/10.1007/978-981-15-1616-0_65
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