Flour Bag Counting System Based on Machine Vision

Chun Xia Ma; Wen He Song; Jun Wu; Yue Wang; Zhi Tao Xiao

doi:10.4028/www.scientific.net/AMR.562-564.1625

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Flour Bag Counting System Based on Machine Vision

Flour Bag Counting System Based on Machine Vision

Abstract:

According to the specific characteristics of Flour Plant production line, the bag counting system for Flour Plant based on Daheng Image acquisition card DH-CG410 and Microsoft VC++ 2005 platform is designed. Using digital image processing technology, the system can be used to detect flour bag by analyzing real-time acquisition video of the flour bag. So it is available for flour production counting. Test results show that the system has the advantages of stable working state, high detection accuracy, high processing speed. It can systematize and standardize the Flour Plant flour bag counting process.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1625-1629

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1625

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Online since:

August 2012

Authors:

Chun Xia Ma, Wen He Song, Jun Wu, Yue Wang, Zhi Tao Xiao

Keywords:

Image Processing, Machine Vision, Video Capture

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