Experimental development of a quality control cell with the integration of artificial vision

Abstract

This study presents the design, implementation and validation of an experimental quality control cell for the automatic inspection of defects in machined parts using an integrated machine vision system. The cell incorporates commercially available hardware, real-time image processing algorithms, and rigorous statistical analysis. In addition, the capacity for traceability and automatic reporting is highlighted, facilitating real-time decision-making and predictive maintenance planning. The system was configured to perform in-line inspections, detecting surface and dimensional defects in real-time. The methodology included the design of the inspection system, the programming of the camera and its integration into the control system. The implementation of the IVG300 camera proved to be an efficient, scalable solution aligned with the principles of Industry 4.0. This study concludes that the incorporation of intelligent vision systems is a key strategy to increase competitiveness in advanced manufacturing environments.