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Development of a drowsiness warning system based on the fuzzy logic images analysis

机译:基于模糊逻辑图像分析的睡意预警系统开发

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摘要

In the present study, a vehicle driver drowsiness warning system using image processing technique with fuzzy logic inference is developed and investigated. The principle of the proposed system is based on facial images analysis for warning the driver of drowsiness or inattention to prevent traffic accidents. The facial images of driver are taken by a CCD camera which is installed on the dashboard in front of the driver. A fuzzy logic algorithm and an inference are proposed to determine the level of fatigue by measuring the blinding duration and its frequency, and warn the driver accordingly. The experimental works are carried to evaluate the effect of the proposed system for drowsiness warning under various operation conditions. The experimental results indicated that the proposed expert system is effective for increasing safe in drive. The detail of image processing technique and the characteristic also is present in this paper.
机译:在本研究中,开发并研究了基于模糊逻辑推理的图像处理技术的驾驶员困倦预警系统。提出的系统的原理是基于面部图像分析的,用于警告驾驶员睡意或注意力不集中,以防止交通事故。驾驶员的面部图像由安装在驾驶员前面的仪表板上的CCD摄像机拍摄。提出了一种模糊逻辑算法和推理方法,通过测量致盲持续时间及其频率来确定疲劳程度,并相应地警告驾驶员。进行了实验工作,以评估所提出的睡意预警系统在各种操作条件下的效果。实验结果表明,所提出的专家系统对于提高行驶安全性是有效的。本文还详细介绍了图像处理技术及其特性。

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