Paper
17 March 2017 The automated testing facility based on machine vision for optimizing grain quality control technology
A. V. Panchenko, N. V. Reshetnyak, A. M. Samohin, V. V. Postnikov
Author Affiliations +
Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411Q (2017) https://doi.org/10.1117/12.2268596
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. V. Panchenko, N. V. Reshetnyak, A. M. Samohin, and V. V. Postnikov "The automated testing facility based on machine vision for optimizing grain quality control technology", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411Q (17 March 2017); https://doi.org/10.1117/12.2268596
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KEYWORDS
Sensors

Machine vision

Cameras

Light sources and illumination

Image analysis

Image quality

Process control

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