ABSTRACT: In the present study, a vehicle driver drowsiness warning or alertness system using image processing technique with fuzzy logic inference is developed ,but the processing speed on hardware is main constrained of this technique. The principle of the proposed system in this paper using OpenCV (Open Source Computer Vision) library is based on the real time facial images analysis for warning the driver of drowsiness or in attention to prevent traffic accidents. The facial images of driver are taken by a camera which is installed on the dashboard in front of the driver. An algorithm and an inference are proposed to determine the level of fatigue by measuring the eyelid blinking duration and face detection to track the eyes, and warn the driver accordingly. If the eyes are found closed for 5 or 8 consecutive frames, the system draws the conclusion that the driver is falling asleep and issues a warning signal. The system is also able to detect when the eyes cannot be found. Present paper gives the overview of the different techniques for detecting drowsy driver and significance of the problem, face detection techniques, drowsiness detection system structure, system flowchart, introduction to OpenCV. The proposed system may be evaluated for the effect of drowsiness warning under various operation conditions. We are trying to obtain the experimental results, which will propose the expert system, to work out effectively for increasing safety in driving. The detail of image processing technique and the characteristic also been studied.
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DOI:
10.17148/IJARCCE.2021.10632
