Design of a Waste Wire Sorting Control System

Authors

  • Kebin Xie School of Mechanical Engineering, Xihua University, Chengdu 610039 China
  • Chunhua Song School of Mechanical Engineering, Xihua University, Chengdu 610039 China
  • Yan Li School of Mechanical Engineering, Xihua University, Chengdu 610039 China
  • Aisong Li School of Mechanical Engineering, Xihua University, Chengdu 610039 China

DOI:

https://doi.org/10.54097/4s3jgz42

Keywords:

Machine vision; waste wire sorting; PLC control; intelligent mobile vehicle.

Abstract

 This paper presents a waste wire and cable sorting system based on machine vision and PLC control. An industrial camera is used to capture images of waste wires, and an OpenCV-Python program is used to recognize four wire colors, including red, yellow, blue, and black. After the color is identified, the PLC sends the control signal to a three-axis robotic arm, which picks up the wire and places it in the corresponding area. An intelligent mobile vehicle is then used to transport the sorted wires. The system combines image recognition, PLC control, robotic sorting, and material transportation to reduce the amount of manual work involved in wire sorting. Experimental tests were carried out to check the recognition and sorting performance of the system. The results show that the system can recognize the four target colors and complete the corresponding sorting operations under the test conditions. The system is divided into four parts: wire detection and recognition, PLC control, robotic sorting, and transportation. The experimental results also show that the machine vision method can be used together with PLC control for waste wire sorting, and the system can provide a basis for further improvement and practical application.

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References

[1] Liu, L. (2025). Design of intelligent sorting manipulator control system based on visual recognition. Journal of Shijiazhuang Vocational Technology Institute, 37(06), 11–16+26.

[2] Gui, T. (2026). Research on collaborative control of intelligent sorting system based on S7-1500 PLC and ABB robot. Industrial Instrumentation & Automation, (02), 52–56+71. https://doi.org/10.19950/j.cnki.CN61-1121/TH.2026.02.011

[3] Zhuang, X. (2023). Development of industrial machine vision software based on OpenCV [Master’s thesis]. Inner Mongolia University.

[4] Qiao, J. (2025). Design of intelligent color sorting system based on PLC and industrial robots. Color, (10), 87–89.

[5] Chen, Y., Zhang, S., & Chen, J. (2021). Design of PLC-controlled AGV automatic delivery trolley. Mechanical Management and Development, 36(11), 211–212+222.

[6] Rehnström, C., & Ståhl, M. (2026). Analysis of fuel pellets from sorted contaminated construction and demolition wood waste. Waste Management & Research: The Journal for a Sustainable Circular Economy. https://doi.org/10.1177/0734242X261429234 DOI: https://doi.org/10.1177/0734242X261429234

[7] Deng, Q., Bai, J., Li, Z., et al. (2026). Vision-based detection system for recovering recyclable materials from dust-affected engineering waste streams. Developments in the Built Environment, 26, 100901. https://doi.org/10.1016/j.dibe.2026.100901 DOI: https://doi.org/10.1016/j.dibe.2026.100901

[8] Akli, I., Bey, I., & Seray, E. S. (2026). Solid waste sorting using visual and RFID sensing with a collaborative robot. International Journal of Environmental Science and Technology, 23(5), 358–368. DOI: https://doi.org/10.1007/s13762-026-07131-2

[9] Figy, J. (2023). Automation upgrades reduce sortation system wiring and lower costs. Control Engineering, 70(7), 20–23.

[10] Liu, H. (2025). Real-time monitoring and fault diagnosis of intelligent sorting system based on machine vision and PLC integration. Electronic Components and Information Technology, 9(10), 7–9+13.

[11] Zou, C., & Wang, H. (2025). Design of apple sorting control system based on PLC. Agricultural Machinery Market, (07), 65–67.

[12] Huang, L. (2020). Development and experiment of target spray system based on OpenMV color recognition [Master’s thesis]. Jiangxi Agricultural University.

[13] Brown, T. (2024). Advanced machine vision techniques for waste material sorting. Industrial Automation and Control Research Journal, 40(1), 50–56.

[14] Shi, Y., & Ju, B. (2018). A three-axis robotic arm system for workpiece positioning and grasping based on monocular vision. Proceedings of the Korean Society of Manufacturing Technology Engineers Conference.

[15] Anonymous. (2023). Sortation and robotics at Pitney Bowes. Modern Materials Handling, 78(6), 24.

[16] Wu, C. (2025). Design and control of dynamic sorting robot system based on vision [Master’s thesis]. Taiyuan University of Technology.

[17] Wu, F. (2025). Research on recognition and sorting of unordered workpieces based on machine vision [Master’s thesis]. Shenyang University of Technology.

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Published

29-09-2026

Issue

Vol. 22 No. 3 (2026)

Section

Articles

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Copyright (c) 2026 Academic Journal of Science and Technology

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