To address process pain points in injection molding products such as surface shrinkage, dimensional shrinkage, and mold flash, Wenzhou Yihe Intelligent Technology Co., Ltd. has launched a customized visual inspection system. Utilizing a high-precision laser confocal sensor, the system achieves a wall thickness detection accuracy of ±0.02mm for injection molded parts. Combined with a self-developed heat deformation compensation algorithm, it dynamically corrects shrinkage deviations in materials such as ABS and PC/ABS, improving dimensional consistency to within ±0.05mm. This has helped appliance brands like Haier and Supor increase the yield rate of kitchenware handles to 98%. In the appearance inspection stage, multispectral imaging technology combined with a deep learning model can identify 15 types of defects, including silver streaks, weld lines, and color differences, with a detection speed of 60pcs/min. This has saved Xiaomi's smart speaker shell production line 60% of manua
