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.