首页> 外文会议>2015 International Conference on Computer Science and Applications >Method of Detecting Logistics Driver's Fatigue State Based on Computer Vision
【24h】

Method of Detecting Logistics Driver's Fatigue State Based on Computer Vision

机译:基于计算机视觉的物流驾驶员疲劳状态检测方法

获取原文
获取原文并翻译 | 示例

摘要

This paper proposes a more accurate way to detect the logistics driver fatigue state. In logistics transportation vehicle driving process, there are differences between the blinking frequency and the closing time of logistics driver's eyes. According to the difference, the logistics driver's fatigue state can be able to be detected. Using the computer, it can strengthen the processing to the image acquisition of logistics driver. And the improving the resolution of the image can provide the basis for logistics driver fatigue detection. The experimental results show: using a fuzzy detection method in this paper, can greatly improve the accuracy of detection, and overcome the drawbacks of traditional algorithm. That obtained the satisfactory results.
机译:本文提出了一种更准确的方法来检测物流驾驶员的疲劳状态。在物流运输车辆的驾驶过程中,眨眼的频率和物流驾驶员闭眼的时间之间存在差异。根据该差异,能够检测出物流驾驶员的疲劳状态。使用计算机可以加强对物流驾驶员图像采集的处理。并且提高图像的分辨率可以为物流驾驶员疲劳检测提供依据。实验结果表明:采用模糊检测方法,可以大大提高检测的准确性,克服了传统算法的弊端。取得了满意的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号