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Proceedings Paper

The automated testing facility based on machine vision for optimizing grain quality control technology
Author(s): A. V. Panchenko; N. V. Reshetnyak; A. M. Samohin; V. V. Postnikov
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Paper Abstract

The article provides a description of simulation stand construction and software for validation of grain quality analysis technology in combine harvest’s tank while harvesting process with the help of artificial vision-based hardware software complex. The description of training sample preparation for automation of sensors development and testing facility quality control are provided.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411Q (17 March 2017); doi: 10.1117/12.2268596
Show Author Affiliations
A. V. Panchenko, JSC Cognitive (Russian Federation)
N. V. Reshetnyak, JSC Cognitive (Russian Federation)
A. M. Samohin, JSC Cognitive (Russian Federation)
V. V. Postnikov, JSC Cognitive (Russian Federation)

Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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