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

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.

Towards Remote Control of Manufacturing Machines Through Robot Vision Sensors

“…As an illustration, a smart vision system has been a useful tool for machine inspection and condition assessment. It also plays a significant role in analyzing the quality of manufactured parts under real-world conditions and determines whether a part is accepted, which is important for smart manufacturing (el Helou et al, 2022).…”