DocumentCode :
3409328
Title :
Detection of Meat Fresh Degree Based on Neural Network
Author :
Peiyuan, Guo ; Man, Bao ; Shiha, Qu ; Tianhua, Chen
Author_Institution :
Beijing Technol. & Bus. Univ., Beijing
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
2726
Lastpage :
2730
Abstract :
In order to find a quick valid scientific way to identify meat freshness, the article analyses the measuring mechanism of identifying to fresh degree of meat, and designs one set of intellectual detection and identification system that is based on electronic information technology, photoelectric detection technique, image processing technology and neural network model recognition technology. Through the test and analysis of the pork sample, it proves that this system is real-time in discerning the fresh degree of meat accurately. In addition, this method can apply to other relevant fields. The research result has very important reality and long-term meaning.
Keywords :
food products; image recognition; neural nets; electronic information technology; identification system; image processing technology; intellectual detection; measuring mechanism; meat freshness degree detection; meat freshness identification; neural network model recognition technology; photoelectric detection technique; Design automation; Design engineering; Image analysis; Image processing; Image recognition; Mechatronics; Microorganisms; Neural networks; Nitrogen; Proteins; Freshness of pork; neural network; pattern-recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
Type :
conf
DOI :
10.1109/ICMA.2007.4303989
Filename :
4303989
Link To Document :
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