Minced meat mingling quick detection device based on multi-spectral imaging

Abstract

The invention discloses a minced meat mingling quick detection device based on multi-spectral imaging. The minced meat mingling quick detection device based on multi-spectral imaging comprises a computer, an objective table, a motor, a rotary disc, a CCD black-white camera, a white light source and a plurality of narrow band pass filters, visible light spectral bands of the narrow band pass filters are different, a plurality of through-holes are formed in the rotary disc around the axis, all the through-holes are provided with the narrow band pass filters, the rotary disc is arranged on a rotary shaft of the motor, the objective table is located below the CCD black-white camera, the rotary disc is located between the objective table and the CCD black-white camera, and the lighting direction of the white light source faces the objective table; and the motor and the CCD black-white camera are connected with the computer. The detection accuracy and detection efficiency of the minced meatmingling quick detection device based on multi-spectral imaging are improved.

Description

technical field [0001] The invention relates to kitchen cooking equipment, in particular to a multi-spectral imaging-based rapid detection equipment for minced meat doping. Background technique [0002] In recent years, food fraud has attracted more and more attention from consumers, food producers and food regulatory agencies. Due to the large price difference of different meats, driven by economic interests, there are food frauds in which high-value meats are mixed with low-value meats. For example, minced pork is mixed with chicken for ham production, and beef Pork, viscera or other meat proteins are mixed into the meat, and mink meat and fox meat that have not been quarantined are mixed into the safe meat products that have passed the quarantine. These meat-adulterated food frauds not only bring about food quality and safety issues, harming the interests and health of consumers, but also bring about ethnic and religious issues because Muslims are forbidden to eat pork. ...

AI Technical Summary

Problems solved by technology

It can be seen from the above that since the Euclidean distance between the two-dimensional correlation spectra is calculated according to the mid-infrared spectrum of the minced meat sample, in the actual operation process, the single-collected mid-infrared spectrum is easily affected by external factors, resulting in inaccurate detection results; at the same time, Different meats have different absorption characteristics of light (for example: the color of pork is red, and the color of chicken is white, and the absorption characteristics of infrared rays are different), and there are also differences in the detection accuracy of standard pure minced meat, which will also lead to the final detection The accuracy of the result decreases; and, in the actual detection process, the doping level of the minced meat of the sample to be tested is calculated according to the detection results of the minced meat of a variety of pure meats, the calculation process is cumbersome, and the rapid detection requirements of industrial production cannot be realized.

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