Automatic color identification system through computer vision techniques for its application in classification of canned vegetable tins according to product sizes and qualities

Author

Asensi, G. Doménech ; Sánchez, R. Torres ; Balibrea, L. M Tomás ; Lozano, J. L Mñnoz

Author_Institution

Centro de Diseno, Robotica y Automatizacion Ind., Inst. de Formento de la Region de Murcia, Cartagena, Spain

Volume

1

fYear

1994

fDate

2-5 Oct 1994

Firstpage

868

Abstract

In the canning industry, simultaneous canning of different categories of the same product is usual. So that the problem of the identification of the can must be solved. Present solutions use manual selection. This paper shows the application of computer vision technology in the automation of the identification stage, before the storage of the canned products

Keywords

codes; computer vision; food processing industry; image classification; packaging; automatic color identification system; canned vegetable tins; canning industry; classification; computer vision; product qualities; product sizes; Application software; Canning; Computer vision; Costs; Filling; Inspection; Machinery production industries; Manufacturing automation; Production facilities; Storage automation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-2129-4

Type

conf

DOI

10.1109/ICSMC.1994.399945

Filename

399945