Roundness Holes’ Measurement for milled workpiece using machine vision inspection system based on IoT structure: A case study

[Display omitted] •In this manuscript, we show the specific research goal on the online measurement of a milled DELRIN workpiece surface feature captured with an in situ CMOS camera with non-contact inspection of the circle holes, focusing on development of the Smart System based on STEP_NC environmental for Machine Vision Inspection (3SMVI) and offline measurement based on Coordinate Measuring Machine.•The research currently uses the minimum zone circle tolerance algorithm as a proposed algorithm.•It really provides the precise error value and determines the error of the roundness circle between the five circles.•This approach is presently used for measuring the roundness circle error in the camera industry, throughout the manufacture of components, etc.•The experiment was conducted using the 3SMVI system for non-contact and CMM for contact approaches by comparing the results. Manufacturing Metrology is a vital aspect of the sophisticated industrial 4.0-based manufacturing industry, as practically everything machined with certain metrological systems has to be measured or inspected. The Internet of Things (IoT) is a critical technology for industry 4.0 development. Furthermore, modern industrial devices should communicate via local (edge) and cloud computing servers. The Message Queuing Telemetry Transport (MQTT) protocol intends to increase the performance for sending/receiving roundness holes’ data measuring from /to the server-based cloud. An error in its roundness mainly involves the inspection of circular portions. Roundness errors generate assemblies, lubricant distribution, and rotational force creation challenges. This study proposed applying the 3SMVI system and validating the system's by utilising the minimum zone circle tolerance algorithm to provide the precise error value and determine the roundness circle's error between the five circles. Hence, the approach is currently used for measuring the roundness circle error in the camera industry throughout the manufacture of components. The experiment was conducted using the smart system based on interpreted STEP-NC files for machine vision inspection (3SMVI) for non-contact and Coordinate Measuring Machine (CMM) for contact approaches by comparing the results. The Contact Measurement Method (CMM) is one of the most precise and time-consuming ways to inspect a round object for imperfections. The article validates the development of the 3SMVI system based on IoT architecture by utilising image proce