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Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration

Alberto Villalonga, Yarens J. Cruz, Rodolfo E. Haber, José L. Martínez Lastra, Fernando Castaño

Year
2024
Citations
4

Abstract

The modern industrial sector is placing a growing emphasis on sustainability and efficiency. The concept of Industry 5.0 builds upon Industry 4.0, aiming to combine human skills with advanced technologies to create flexible and responsive manufacturing systems. This paper discusses Zero Defect Manufacturing (ZDM), which emphasizes the production of flawless components from the beginning. The paper introduces a pilot line for ZDM, which includes a collaborative robotic quality inspection system that integrates artificial vision and AI decision-making. The system consists of a manipulator robot, an industrial camera, an AI IoT node utilizing a segmentation algorithm for quality control based on YOLO V10, a human operator, and an Autonomous Mobile Robot (AMR) to ensure the safety of the human operator. All these components are interconnected using MQTT and ROS2. The results of the pilot line demonstrate significant improvements in quality control, reduced waste, and enhanced operational efficiency, all of which are in line with the principles of Industry 5.0.

Keywords

Quality (philosophy)Zero (linguistics)Computer scienceManufacturing engineeringArtificial intelligenceEngineering

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