Precision Visual Recognition Application Study for 3C Assembly Robots

Abstract

This paper focuses on the 3C (Computer, Communications, and Consumer Electronics) smartphone component assembly scenario, building a precise visual recognition system for 3C assembly robots based on small-target detection methods and pixel-level segmentation methods, in conjunction with camera and other hardware designs. Through our precise visual perception system, we achieve accurate identification and positioning of assembly parts, finally controlling the robotic end-effector to perform the assembly operations. Experimental results demonstrate that this system outperforms other algorithms in detection effect and segmentation accuracy. Moreover, this study validates the practical application of the precision visual recognition algorithm by selecting three typical 3C cell phone component assembly scenarios, ultimately ensuring a success rate of 98% for the three assembly processes.