Title :
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
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;
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
DOI :
10.1109/ICSMC.1994.399945
