A knowledge-based system for measuring the quality of the distribution of salami slices on pizza crusts

Author

Mashi, Mohammad ; Ament, Christoph

Author_Institution

Dept. of Syst. Anal., Univ. of Technol., Ilmenau, Germany

fYear

2011

fDate

6-8 Dec. 2011

Firstpage

1

Lastpage

8

Abstract

All manufacturing companies have been trying to integrate intelligence-oriented strategies into their workflow. This saves time and money and leads to a better quality of goods. This intelligent strategy is in the subject area of Artificial Intelligence (AI). In our contribution a “Knowledge-Based System” (KBS) for image processing and pattern recognition, machine learning (ML) is used to measure the quality of the distribution of salami slices on pizza crusts. Measuring quality provides the opportunity to correct the position of the salami slices by automated systems (e.g. a robot arm) in the future rather than by employees.

Keywords

food processing industry; food products; image recognition; knowledge based systems; learning (artificial intelligence); production engineering computing; artificial intelligence; automated system; image processing; intelligence-oriented strategy; knowledge-based system; machine learning; pattern recognition; pizza crust; quality measurement; salami slice distribution; Conferences; Dairy products; Electrical engineering; Expert systems; Image color analysis; Training; Artificial intelligence; Knowledge representation; Knowledge-based system; Machine learning; fuzzy logic; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Electrical Engineering and Computing Technologies (AEECT), 2011 IEEE Jordan Conference on

Conference_Location

Amman

Print_ISBN

978-1-4577-1083-4

Type

conf

DOI

10.1109/AEECT.2011.6132533

Filename

6132533