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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15829
Title: Automation of Chestnuts Selection Process Using Computer Vision in Real Time
Authors: Alvarez-Valera, Hernan
Bolivar-Vilca, Edwin
Cervantes Jilaja, Claudia
Cuadros Zegarra, Emil
Barrios Aranibar, Dennis
Patiño Escarcina, Raquel Esperanza
Keywords: Automation;Color;Defects;Fruits;Chestnuts selection;Color space;External characteristic;Increasing production;Industrial scale;Light conditions;Process operation;Real-time computer vision;Computer
Issue Date: 2016
Publisher: IEEE Computer Society
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989850720&doi=10.1109%2fSCCC.2014.21&partnerID=40&md5=1d90f0d52a760e35a098e5bedc359cba
Abstract: Nowadays, chestnuts selection process in Peru is done by hand, therefore some important problems occur. People who work in this area could make a lot of mistakes because their personal situation or environment variables influence them. Fatigue, feelings, light conditions or working comfort are examples. For this reason the production may become slow and/or imprecise and think about increasing production needs to hire more employees and spend more money. In that sense, it is proposed the automation of the chestnuts selection process for industrial scale, where real time computer vision techniques are applied in order to detect products defects, that are analyzed by some external characteristics: Oval shape to detect the chestnut product and the same descriptor with color and size descriptors to detect the chestnut defects and their types. In this way, this approach allows to improve and increase the quality of the chestnuts selection for its exportation, reducing errors in the process operations. Experimental results show that the performance achieved in each chestnuts selection is 86.78 %. © 2014 IEEE.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15829
ISBN: 9781509004218
ISSN: 15224902
Appears in Collections:Artículos de investigación

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