There are some causes of car accidents due to driver error which includes drunkenness, fatigue and drowsiness. Hence, the system is needed which will alert driver before he/she falls asleep and number of accidents can be reduced. In the proposed system, a camera continuously captures movement of the driver. To determine whether a driver is feeling drowsy or not the head position, eye closing duration and eye blink rate are used. Using this information, the drowsiness level is determined. As per the drowsiness level the alarm is generated. A night vision camera is used to handle different light conditions.
CITATION STYLE
Gilbile, P., Bhore, P., Kadam, A., & Balbudhe, K. (2019). Driver’s drowsiness detection using image processing. In Lecture Notes in Computational Vision and Biomechanics (Vol. 30, pp. 709–714). Springer Netherlands. https://doi.org/10.1007/978-3-030-00665-5_70
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