Abstract
Accidents have now become a daily part of the routine. There are various factors that play part in the growing amount of accidents. The quality of road accounts for half of the accidents and the human state of feeling sleepy, also called as drowsiness, forms a second major reason for these fatal accidents. To bring this kind of mishap under control, we are devising a system to alert the sleepy/drowsy drivers while driving the car to avoid any accidents. In this experiment, we take into account certain parameters like the detection of the face, position of the head and most importantly the blinking of the eye. Image Processing Algorithms are used to ensure proper detection of drowsiness in order to avoid accidents. The System is going to have an android application to have sessions for each vehicle driver, which will have detailed analysis of the drivers activities, such as drowsiness alerts, location, etc.
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CITATION STYLE
Khan, R., Menon, S., Patil, S., Anchan, S., & Saritha, L. R. (2019). Human drowsiness detection system. International Journal of Engineering and Advanced Technology, 8(4), 316–319.
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