https://sam.ensam.eu:443 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Wed, 15 Apr 2026 22:48:20 GMT 2026-04-15T22:48:20Z http://hdl.handle.net/10985/23276 A Modular Smart Vision System for Industrial Inspection and Control of Conformity EL HELOU, Marwan; BENFRIHA, Khaled; AL-AHMARI, Abdulrahman M.; WARDLE, Peter; TALHI, Esma; LOUBÈRE, Stéphane; EL ZANT, Chawki; CHARRIER, Quentin 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. Thu, 01 Sep 2022 00:00:00 GMT http://hdl.handle.net/10985/23276 2022-09-01T00:00:00Z EL HELOU, Marwan BENFRIHA, Khaled AL-AHMARI, Abdulrahman M. WARDLE, Peter TALHI, Esma LOUBÈRE, Stéphane EL ZANT, Chawki CHARRIER, Quentin 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. http://hdl.handle.net/10985/23277 Development of an advanced MES for the simulation and optimization of industry 4.0 process BENFRIHA, Khaled; EL ZANT, Chawki; CHARRIER, Quentin; BOUZID, Abdel-Hakim; WARDLE, Peter; BELAIDI, Idir; LOUBÈRE, Stéphane; GHODSIAN, Nooshin; AOUSSAT, Améziane The concept of Industry 4.0 has been developed a lot from a theoretical point of view. However, the real applications on production lines remain few in number, due to the difficulties of interoperability between the different production entities and also due to the lack of a control system adapted to the expected flexibility and to the management of the data generated. This article focuses on the development and deployment of a manufacturing execution system (MES) on a production system 4.0. The development stages of the system are explained in detail. The new functionalities and the expected level of performance impose a new logic in the design of advanced systems for controlling and optimizing production. Finally, a proof of concept of an MES was developed and tested on a new technology platform 4.0. Fri, 01 Oct 2021 00:00:00 GMT http://hdl.handle.net/10985/23277 2021-10-01T00:00:00Z BENFRIHA, Khaled EL ZANT, Chawki CHARRIER, Quentin BOUZID, Abdel-Hakim WARDLE, Peter BELAIDI, Idir LOUBÈRE, Stéphane GHODSIAN, Nooshin AOUSSAT, Améziane The concept of Industry 4.0 has been developed a lot from a theoretical point of view. However, the real applications on production lines remain few in number, due to the difficulties of interoperability between the different production entities and also due to the lack of a control system adapted to the expected flexibility and to the management of the data generated. This article focuses on the development and deployment of a manufacturing execution system (MES) on a production system 4.0. The development stages of the system are explained in detail. The new functionalities and the expected level of performance impose a new logic in the design of advanced systems for controlling and optimizing production. Finally, a proof of concept of an MES was developed and tested on a new technology platform 4.0.