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- Title
Inspección no invasiva de Physalis peruviana usando técnicas (Vir/Nir).
- Authors
González, Camilo; Zararna, Daniel; González B., Sergio R.; Mondragón B., Iuán F.; Moreno, Manuel
- Abstract
This article describes the development of a flexible architecture that allows the classificat ion of fruit Physalis peruviana (gooseberries--Uchuva) using a computer vision system based on space images in the Visible and near infrared (VIS / NIR) arises, it also establishes a model that provides quality control for the marketing and export. Uchuva in Colombia. The solution consists of a system of real time classification of fruit, implementing technologies for industrial automation and process visible and infrared images of the space. To validate aii analysis proposed by the correlation between technologies in the field of artificial vision with their profits in the automation of processes against traditional methods in the quality inspection of fruit. By last, it presents the development of a model which implements a classification algorithm associating a direct impact on the corresponding costs to the current known process.
- Publication
Visión Electrónica, 2016, Vol 10, Issue 1, p1
- ISSN
1909-9746
- Publication type
Article
- DOI
10.14483/22484728.11702