Drowsiness Detection System using Image Processing

This paper presents a design of a unique solution to detect the drowsiness of the driver in real time based on the eyes conditions. Many approaches have been used to address this issue in the past. But this paper presents a simple algorithmic solution with minimal hardware requirement. Under the controlled environment, the proposed system operates successfully to produce results with approximately 90% accuracy. The system goes to use a webcam to capture a series of images. These captured images can be stored in our system as separate frames. Frame is formed in the form of input to face the input detection software. In words, our essential attribute (eye) is extracted from the image. (Working individually) On each eye, the system establishes a condition and suggests specific frames with the same eye conditions that can be registered. The results of these images can be taken as input to achieve the level of drowsiness of the driver in any fixed position while driving a vehicle.