DRIVER DROWSINESS DETECTION SYSTEM

Computer Science and Engineering

Now a days driving accidents are a major cause of injuries and deaths on the road. A substantial portion of these are because of fatigue and drowsiness. Here we are using Artificial Intelligence for the detection of drowsiness. Artificial intelligence helps enhance our information of complex connections and describe them the usage of easy equations. Facial features recognition has many potential applications which have attracted the attention of researchers in the closing decade. Facial expressions are maximum commonly used for interpretation of human emotion. There are 4 forms of typically the usage of machine: Face detection,extraction, type and recognition. In existing system a Pi camera is used to capture the images of the driver’s eye and the entire system is incorporated using Raspberry-Pi. Even though Raspberry Pi can perform different tasks, there are some limitations due to its hardware, Emotion recognition system got affected because of rotation of facial images. In this proposed taking the large scale image, hybrid extraction feature and Haarcascade algorithm to classification of frame based expression recognition try to detect facial expression detection and emotion detection for authentication of website application.

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