The paper presents the design and implementation of the Cognex vision system in the quality control process of cable
holders manufactured using 3D FDM printing technology. The image processing algorithm developed in the InSight Explorer
software achieved an accuracy of 95-96%. The vision system enables the automation of the quality control process, eliminating errors
caused by human factors and improving production efficiency. The analysis confirms the systemʹs effectiveness in detecting
manufacturing defects, such as the absence of a mounting hole or underfill, contributing to cost reduction and increased efficiency
in industrial enterprises.
Keywords:
Vision systems; Quality control; 3D FDM printing; Industrial automation; Image processing algorithms
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