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Research on an Automatic Sorting System Based on Machine Vision

Hongjun Yang, Guoyu Hu, Lu Li

Year
2022
Citations
10

Abstract

The sorting and handling of materials is an essential part of the automated production line. However, the traditional sorting method cannot meet the current development needs due to low efficiency. This paper proposes an automatic sorting system by pneumatic robots with machine vision technology. The system is composed of machine vision unit, automatic conveying unit, pneumatic robot unit and controller unit. The machine vision software Halcon is selected to recognize the image accurately, and a sorting execution device is designed which is combined with pneumatic manipulator and pushing mechanism. Programmable controller (PLC) is selected as the controller, and the hardware and software of the control system are designed. Finally, the system is simulated and the results show that the system can quickly realize the sorting of materials of different shapes and colours, and improve the efficiency and accuracy of sorting.

Keywords

SortingMachine visionController (irrigation)Computer scienceSoftwareRobotProgrammable logic controllerArtificial intelligenceControl unitSMT placement equipment

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