Optical vision-based dynamic target recognition model for industrial robots using improved YOLOv13
An improved YOLOv13 (DCA-YOLOv13) recognition model is proposed that introduces a deformable convolution module into the backbone network to enhance the geometric adaptation capability for non-rigidly deformed targets, and designs a lightweight channel attention mechanism to suppress complex background noise.