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In the process of laser welding, the strong light causes the low quality of the visual image of the welding node, which reduces the positioning accuracy. To optimize the positioning accuracy of laser welding nodes with special materials. Taking AH36 steel as an example, a visual positioning method for laser welding nodes is designed. After obtaining the laser welding node area image of AH36 steel, the edge image of the welding node is obtained through the EGDNet algorithm. The Shi Tomasi algorithm is used to detect the corners of the welding edge image, calculate the position coordinates of the nodes in the laser welding image of AH36 steel, and complete the node positioning of AH36 steel laser welding. The experimental results show that the welding node acquisition quality, positioning accuracy, and positioning efficiency of this method are high.