Multiple spectrum meat freshness artificial intelligence measurement method and system

A technology of artificial intelligence and measurement system, applied in color/spectral characteristic measurement, measurement device, testing food, etc., it can solve the problems of lack of pre-processing and post-processing, being susceptible to external interference, and the data is not intuitive enough to achieve non-destructive testing and easy use. , the effect of reducing image noise

Inactive Publication Date: 2007-10-24
ZHEJIANG UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the wavelength band of light detected by this method is too single, and the received light wave information is less, and the data obtained in this method is not intuitive enough and lacks pre- and post-processing, and is susceptible to external interference

Method used

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  • Multiple spectrum meat freshness artificial intelligence measurement method and system
  • Multiple spectrum meat freshness artificial intelligence measurement method and system

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Experimental program
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Embodiment Construction

[0022] As shown in Fig. 1, the present invention includes an adjustable parameter light source, a meat placing platform, a 3CCD multispectral camera, an image acquisition card, a computer processing system and a database. The adjustable parameter light source emits a specific beam of light on the meat placement platform, and the 3CCD multispectral camera receives the reflected light of the meat, and the signal is transmitted to the image acquisition card, which is then transmitted to the computer processing system for processing.

[0023] The multispectral camera is the MS series 3CCD multispectral camera system of Duncan Company.

[0024] The image acquisition card is PCI 1424 or PCI1428 of National Instrument Company.

[0025] Duncan's MS series multi-spectral camera system filters the incoming images and separates them into monochromatic images of green (550nm), red (650nm), and near-infrared (800nm) channels in real time, through PCI 1424 or 1428 (National Instrument comp...

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Abstract

The invention discloses a multi-spectrum artificial intelligent measuring method of meat fresh degree and a relative system, wherein an adjustable light source emits special light beam on a meat platform, a 3CCD multi-spectrum camera receives the light reflected from the meat, and outputs signal to an image pickup card to be transmitted to a computer processing system to be processed. The invention uses a meat database in the computer to select different meats to process various pretreatments, then extracts various characteristic wavelengths, selects pixel group as following research object, via artificial intelligent judgment, recognizes three different modes as fresh meat, sub fresh meat and bad meat under prior model, and outputs recognition result to be displayed on computer. The invention combines machine vision, image process and artificial intelligence techniques, or the like, thereby judging quickly, non-damage, and accurately the fresh degree of meat.

Description

technical field [0001] The invention relates to analyzing materials by optical means, in particular to a multi-spectral meat freshness artificial intelligence measurement method and system. Background technique [0002] There are many evaluation indicators for the freshness of meat. The traditional evaluation method should comprehensively evaluate the appearance, smell, chemical composition and other aspects of the meat itself, which has high requirements for the evaluation personnel. The existing detection techniques mainly include the following: 1) The test of volatile total basic nitrogen-TVB-N. Whether the Kjeldahl method or other nitrogen determination methods are used, the operation is cumbersome, the test time is long, and it is not non-destructive testing. It is difficult to meet the current requirements for rapid non-destructive testing of large batches of samples. 2) Detection of surface flesh color to reflect freshness. This method uses light of a certain wavele...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/27G01N21/84G01N33/12
Inventor 鲍一丹童晓星何勇
Owner ZHEJIANG UNIV
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