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| Research on Positioning Technology of Welding Spot on the Silver Net Based on Robot Vision |
| CHEN Yiqiao, HU Guoqing, HUANG Daoquan, LI Rui, JIA Mingfeng |
| (College of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China) |
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Abstract The welding process of silver net in the production of lead-zinc storage battery has not only problems like
inaccurate identification with naked eyes and high error rate, but also a high labor intensity and low efficiency. An automatic
welding spot identification solution based on robot vision was brought up within this process. The system uses a robot
carrying an automatic welding device to weld the spots after identifying them accurately, adopts the distortion correction
technology and robot hand-in-eye calibration to complete the accurate positional shift from the image coordinate system
to the robot coordinate system, applies Blod method to analyze the algorithm of the coarse positioning combined with the
accurate positioning using shape-based template matching technique, removes the barricades to accurate identification and
positioning caused by noise jamming, nonlinear light interference and deformation of the silver net, finally achieves the
goal of highly accurate identification and positioning and high efficiency.
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2017, 
