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A Modular Smart Vision System for Industrial Inspection and Control of Conformity

Article dans une revue avec comité de lecture
Author
ccEL HELOU, Marwan
127758 Laboratoire Conception de Produits et Innovation [LCPI]
ccBENFRIHA, Khaled
127758 Laboratoire Conception de Produits et Innovation [LCPI]
AL-AHMARI, Abdulrahman M.
302265 King Saud University [Riyadh] [KSU]
WARDLE, Peter
327591 University of Wolverhampton
TALHI, Esma
366396 EIGSI La Rochelle [EIGSI ]
LOUBÈRE, Stéphane
486576 PricewaterhouseCoopers [PwC]
ccEL ZANT, Chawki
127758 Laboratoire Conception de Produits et Innovation [LCPI]
CHARRIER, Quentin
127758 Laboratoire Conception de Produits et Innovation [LCPI]

URI
http://hdl.handle.net/10985/23276
DOI
10.1520/SSMS20220003
Date
2022-09
Journal
Smart and Sustainable Manufacturing Systems

Abstract

In manufacturing systems, there are several essential tasks to perform before and after the production process. In traditional systems, these tasks were done manually, which can lead to more resource consumption and the risk of human error; however, advanced manufacturing systems and Industry 4.0 tend toward a more autonomous manner. To ensure the compliance of the machining process and the safety of the personnel as well as the machines at the shop floor, the inspection of the overall factory prior to any machining process and the control of conformity of the manufactured parts are necessary in order to know the status of the manufacturing line. This paper proposes a novel modular smart vision system for machine inspection and conformity control of machined parts. Our system uses smart vision technologies embedded in industrial robots and enhanced with image processing and analysis capabilities. The solution also integrates a user interface for human–machine interactions that has been developed with a modular approach, and is designed, launched, and controlled by the manufacturing execution system, allowing agile and customized configuration. By this new approach, the robot inspects all the machines in the factory to check the status before launching the production plan. After the machining process, the system interprets the in situ dimensional analysis for the machined parts and makes decisions about whether the parts are acceptable or require additional machining.

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