Application Research of Vision Sensor in Material Sorting Automation Control System

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Abstract

Based on the PLC in the material sorting automation system, the paper builds an automatic material sorting system based on visual sensors. The control system involves various sensor technologies such as photoelectric sensors and vision sensors, mechanical technology, electrical and electronic technology, frequency converter technology, motor drive technology, air pressure control technology, human-machine interface technology, etc., and integrates the application of various technologies in training. On the platform, students can familiarize themselves with the process of detecting, transmitting, and processing the automatic production line and the control process of the system through the practice of this training platform. They can be familiar with the mechatronics technology. The system first detects the metal through the inductive sensor, detects the colour through the photoelectric sensor, and finally detects whether the processing is qualified by the machine vision system, and obtains the target data, and finally controls the robot to realize the sorting action, and completes the storage operation of the stereo warehouse.

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APA

Li, J. (2020). Application Research of Vision Sensor in Material Sorting Automation Control System. In IOP Conference Series: Materials Science and Engineering (Vol. 782). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/782/2/022074

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