Clasificación de frutos utilizando GPU (Fruits classification using GPU)

Juan Pablo D Amato (, Cristian García Bauza (, Gustavo Boroni (

1Universidad Nacional del Centro de la Pcia. de Buenos Aires ‑ CIC
2Universidad Nacional del Centro de la Pcia. de Buenos Aires ‑ CONICET

This paper appears in: Revista IEEE América Latina

Publication Date: June 2011
Volume: 9,   Issue: 3 
ISSN: 1548-0992

In fruit packaging companies, the color is a metric used to determine the fruit quality, maturation, healthiness, etc.. For apples, the color also indicates their class or variety (red delicious, granny smith, etc.). Nowadays the distinction between the different qualities of apples is based on empirical measures proposed by experts. In this paper a mechanical-digital system for capturing and classifying fruit by color in real time is presented. It's supposed to be incorporated to an existent fruit transport line. The tracking algorithms were implemented using graphics cards, which allow processing a very large number of lines in a single commercial PC. The solution is able to emulate the human criterion in the fruits classification. Based on the images captured from the transport line, the system generates an output indicating the quality, which is used to distribute the fruit in different packages

Index Terms:
Image color analisys, Object detection, Parallel processing, Agriculture   

Documents that cite this document
This function is not implemented yet.

[PDF Full-Text (434)]