首页> 外国专利> Deep learning and image processing based bolt loosening detection method

Deep learning and image processing based bolt loosening detection method

机译:基于深度学习和图像处理的螺栓松动检测方法

摘要

The present invention relates to a method for detecting bolt loosening based on deep learning and image processing, comprising: detecting a bolt image from image data using an RCNN; Through the configuration including the step of estimating the bolt loosening angle through the image processing technique in the detected bolt image, it is possible to more accurately detect the initial bolt loosening, detect the bolt image from image data through a running algorithm, and use image processing techniques. The present invention relates to a method for detecting bolt loosening based on deep learning and image processing that can correct perspective distortion and estimate the bolt loosening angle.
机译:本发明涉及一种基于深度学习和图像处理检测螺栓松动的方法,包括:使用RCNN检测来自图像数据的螺栓图像;通过包括通过图像处理技术在检测到的螺栓图像中估计螺栓松开角度的配置,可以更精确地检测初始螺栓松开,通过运行算法检测从图像数据的螺栓图像,并使用图像处理技术。本发明涉及一种基于深度学习和图像处理来检测螺栓松动的方法,可以校正透视变形和估计螺栓松开角度。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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