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ZHU Qidan, WANG Yanke, ZHU Wei, LIU Yue. Intelligent recognition algorithm of welding point based on structured light[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(7): 82-87,99. DOI: 10.12073/j.hjxb.2019400186
Citation: ZHU Qidan, WANG Yanke, ZHU Wei, LIU Yue. Intelligent recognition algorithm of welding point based on structured light[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(7): 82-87,99. DOI: 10.12073/j.hjxb.2019400186
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Intelligent recognition algorithm of welding point based on structured light

  • Institute of Intelligent Control, College of Automation, Harbin Engineering University, Harbin 150001, China

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  • Received Date: June 24, 2018
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    • Abstract
  • In the process of automatic welding, welding point needs to be recognized with the help of laser. However, it suffers from the arc light and reflect light on the surface of some materials and the resulting accuracy of recognition cannot be guaranteed. In terms of this issue, the recognition network based on heatmap is proposed with combination of deconvolution and feature pyramid network. It extracts pyramid feature using residual convolutional neural network and generates key-point heatmap for each scale, which can tell the exact position of welding point. Compared with template matching and original feature pyramid network, such network performs better in the recognition of welding point with strong robustness and can work well in the context of various noise and complex interference.
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