DocumentCode :
3051967
Title :
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
Link To Document :
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