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A Fast Machine Vision for Automated Packaging
Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland / School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China.ORCID iD: 0000-0001-8006-3236
Department of Information Technology, Vaasa University of Applied Sciences, Vaasa, Finland.
2012 (English)In: Electrical, Information Engineering and Mechatronics 2011: Proceedings of the 2011 International Conference on Electrical, Information Engineering and Mechatronics (EIEM 2011) / [ed] Wang, Xudong; Wang, Fuzhong; Zhong, Shaobo, Springer, 2012, 719-726 p.Chapter in book (Other academic)
Abstract [en]

This paper introduces a fast, simple, cheap but accurate and reliable vision system designed for the automated packaging robot application, which is to replace manual product packaging. The objective is to develop a vision system and algorithm for such application and achieve pattern tracking in nearly real-time with a normal entry-level computer. This paper describes in detail the implementation of the proposed vision system including image processing and pattern recognition. The application uses only a simple gray scale image of product as sample pattern to track the product in the scene at real-time speed, which has come near to replace human eyes. The proposed machine vision has been implemented and equipped on a real ABB robot arm with other related hardware/software to achieve automated packaging. The performance has been evaluated as a success in both timing and precision. Its stability and reliability are also proved under laboratory testing environment.

Place, publisher, year, edition, pages
Springer, 2012. 719-726 p.
Series
Lecture Notes in Electrical Engineering, ISSN 1876-1100 ; 18
Keyword [en]
Vision system, Pattern recognition, Autonomous robot
National Category
Computer Science Computer Systems Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-133481DOI: 10.1007/978-1-4471-2467-2_85ISBN: 9781447124665 (electronic)ISBN: 9781447124672 (electronic)OAI: oai:DiVA.org:liu-133481DiVA: diva2:1060601
Available from: 2016-12-29 Created: 2016-12-29 Last updated: 2016-12-29Bibliographically approved

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Citation style
  • apa
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More styles
Language
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