Development of a smart system based on STEP-NC for machine vision inspection with IoT environmental
The advancement of technology and the accomplishments of Industry 4.0 have expanded the possibilities for research in the vision system of the industrial inspection sector, which are intelligent, widely connected, fully adaptable, autonomous, and fully accessible based on the IoT environment. This a...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/100911/ http://dx.doi.org/10.1007/s00170-021-08095-y |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | The advancement of technology and the accomplishments of Industry 4.0 have expanded the possibilities for research in the vision system of the industrial inspection sector, which are intelligent, widely connected, fully adaptable, autonomous, and fully accessible based on the IoT environment. This advancement precisely bridges the gap between machine vision and object dimension measurements. The main goal is to develop the system of the 3SMVI in the milling machine based on the camera system and lighting system to ensure the quality of the product. This study proposes the development of an automated smart system-based interpreter STEP-NC information for a machine vision inspection (3SMVI) for detecting and measuring the surface feature of Example 1 Part 21 of ISO 14649 standard. This presents a 3SMVI development architecture that will guide the advancement with 3SMVI of the current Intelitek proLIGHT CNC milling machine. A standardised architectural 3SMVI platform is created. On that basis, machine tools, physical processes, real database range, operating units, and intelligent computer technologies are interconnected through a broad range of networks, including Wi-Fi and wireless connections. Machine vision inspection system (MVIS) is suggested as the digital model of the cyber domain physical tool. The OpenCV library developed a system platform that becomes cloud connectivity between the Raspberry Pi 4 board and the USB microprocessor on camera range. As a result, the machine vision inspection system is operated based on an algorithm designed for automatic measuring on a standard model. The primary outcome is developing a system prototype capable of inspecting the surface feature of a workpiece in real-time operation. Nonetheless, connectivity between machines can be carried out through Cyber Digital Twins (CDT). The obtained MVIS and prototype structure is appropriate for online surface measurement, and the system implementation has been designed and realised for automated measurement. |
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