Designing a Sorting System using Machine Vision Training Kit for Mechatronics and Robotics Engineering Students

Abstract

Machine vision is even more critical for sorting workpieces in quality control of automated production systems for Industry 4.0. Use the image processing system principle to inspect the workpiece with a high-speed vision sensor camera. It results in high accuracy of sorting performance and can replace labor in automated production processes. The learning process of vision sensors used for inspecting workpieces with industrial cameras for mechatronics and robotics engineering students is concerned. Most barriers need more teaching materials due to the relatively high cost of the training kit. That is causing students' lack of knowledge and practical skills during the professional training experience in the workplace. This study proposed designing a sorting system using a machine vision (SSMV) training kit for mechatronics and robotics engineering students. It can be a learning tool to promote the students' learning in related fields, automated manufacturing systems, and engineering education.