Workpiece Inspection and Sorting System using Image Processing on CiRA CORE Integrated with PLC and IoT
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Abstract
This paper presents a workpiece inspection and sorting system using image processing on the CiRA CORE platform integrated with a PLC and IoT technology to enhance accuracy and reduce human errors in workpiece size inspection. The system is designed to use 2 cameras to capture images of the workpieces from the front and top views, with the acquired data transmitted to the CiRA CORE platform for classifying the workpieces according to their diameters and heights. The inspection results are then transmitted to the PLC via the Modbus protocol for automatic sorting control. In addition, the system is connected to the Node-RED program to display and record real-time operational data through IoT technology. The experimental results were performed using cylindrical workpieces with diameters of 5 and 6 centimeters and heights of 4 and 5 centimeters, with each size inspected 20 times. The experimental results showed that the system could accurately detect and measure the dimensions of the workpieces, achieving an average accuracy rate of more than 98 percent. Furthermore, the overall machine performance was evaluated through the Node-RED program.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright @2021 Engineering Transactions
Faculty of Engineering and Technology
Mahanakorn University of Technology
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