DOI:
https://doi.org/10.64539/sjer.v2i1.2026.337Keywords:
Delta Robot, PLC S7-1200, Machine vision, Automation, Product sortingAbstract
The rapid development of automation and robotics has increased the demand for high-performance industrial systems, in which Delta robots play a crucial role due to their lightweight structure, high speed, and precise positioning capability. This study aims to design, implement, and evaluate a Delta robot-based product classification system integrating PLC S7-1200 control and Machine vision. The proposed system employs a camera to detect object shape, color, and position on a conveyor, while a PC processes the image data and computes the robot’s inverse kinematics before transmitting control commands to the PLC. A hardware model of the Delta robot was designed and fabricated, and a dual-mode control application was developed to monitor and operate the robot in real time. Experimental results demonstrate that the system achieves stable operation, with a classification speed of up to 20 products per minute and an accuracy of approximately 95.7% for picking and placing tasks. The findings confirm the feasibility and effectiveness of integrating vision-based detection with high-speed parallel robot control for industrial sorting applications. The study also provides a foundation for further optimization in processing speed, mechanical design, and advanced image-processing techniques to enhance system performance in practical manufacturing environments.
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Copyright (c) 2026 Kim-Thanh Vo, Bui-Duc Nghia, Huy-Vu Tran, Thanh-Tuan Huynh, Huy-Bao Nguyen, Phong-Luu Nguyen, Van-Tuan Nguyen, Anh-Quoc Phan, Son-Thanh Phung, Van-Dong-Hai Nguyen, Binh-Hau Nguyen, Van-Hiep Nguyen, Thanh-Binh Nguyen
This work is licensed under a Creative Commons Attribution 4.0 International License.
