AI and IoT-enabled Workpiece Sorting System using Mini-PLC for Industrial Automation

Integrating digital technology into the production and management processes is the key to increasing the work system’s efficiency and accuracy in the Industry 4.0 era. This paper presents the retrofit of a non-functional workpiece sorting system using Mini-PLC integrated with IoT technology and the K210 AI-based camera to enhance the sorting system’s performance. Consequently, the YOLO-2 model was trained with 180 images and then transferred to the k-model for computation. The experimental results show that the retrofitted machine can successfully identify all three types of workpieces with an overall accuracy of 95%, meaning that the proposed retrofit of the workpiece system is feasible for enhancing non-functional or outdated automation systems.