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On-Line Inspection and Sorting System for Mechanical Parts Based on Machine Vision

Published: 30 May 2020 Publication History

Abstract

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.

References

[1]
WangHuimin, Machine vision, intelligent eye, http://articles.e-works.net.cn/it_overview/Article134873.htm 2017/4/28
[2]
BASLER Homepage, https://www.baslerweb.com/cn/vision-campus/ camera-technology/
[3]
Liu Chenglong:Proficient in MATLAB Image Processing. Tsinghua university press, Beijing (2015).
[4]
JIANG Chun-ling, XUE Song. Design of indoor LED intelligent dimming and color modulation system based on Zigbee. ICCCS 2018, LNCS 11067, pp. 228--240(2018).

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ICITEE '19: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering
December 2019
870 pages
ISBN:9781450372930
DOI:10.1145/3386415
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 May 2020

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Author Tags

  1. Automatic sorting
  2. Machine vision
  3. Size detection
  4. Zigbee

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