基于机器视觉的机械零件在线检测分拣系统

Chunling Jiang, Q. Wei, B. Feng
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引用次数: 0

摘要

本文基于机器视觉,利用Matlab对采集到的机械零件图像信号进行图像处理和图像识别,并通过Zigbee无线传输控制信号,实现机械零件的在线检测和分拣。以具有多个圆孔的复杂工件为例,介绍了该系统的结构和实现方法。该系统具有成本低、精度高、安装方便等优点。它的非接触性、实时性、灵活性和准确性可以有效地解决传统检测方法存在的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-Line Inspection and Sorting System for Mechanical Parts Based on Machine Vision
Based on machine vision, this paper uses Matlab to perform image processing and image recognition on the image signals of mechanical parts collected, and transmits the control signals wirelessly through Zigbee to realize on-line detection and sorting of mechanical parts. Taking a complex workpiece with multiple circular holes as an example, the structure and implementation method of the system are introduced. The system has the advantages of low cost, high precision and easy installation. Its non-contact, real-time, flexibility and accuracy can effectively solve the problems of traditional detection methods.
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