Meat quality visualization detection device based on static hyperspectral imaging system

Abstract

The invention discloses a meat quality visualization detection device based on a static hyperspectral imaging system, which comprises a light chamber, an imaging system, an image processing and detecting arithmetic unit and a display unit; the light chamber is internally provided with a high-sensitivity camera, a detected object and a light source; the light chamber comprises two independent spaces; a light insulation plate with an observation hole is arranged between the two spaces; the imaging system and the detected object are respectively arranged in the two spaces; the light source is arranged in the space where the detected object is located; for the space of the imaging system, a data output end of the high-sensitivity camera is connected with a data input end of the image processing and detecting arithmetic unit; a display signal output end of the image processing and detecting arithmetic unit is connected with a display signal input end of the display unit; and a data signal output end of the image processing and detecting arithmetic unit is connected with an external equipment interface. According to the device provided by the invention, the detection result is correct and objective, and the expression manner is intuitive, so that guarantee is offered for the quality safety supervision in the production, storage, transportation and sale links of meat.

Description

technical field [0001] The invention relates to a device for meat quality detection, which adopts a staring hyperspectral imaging method to collect data, and presents the degree of meat detection indicators and their distribution in meat samples in a visualized manner, and belongs to the technical field of non-destructive detection of food objects. Background technique [0002] my country is the largest economy in the production and consumption of pork, and the production and sales of pork rank first in the world all the year round. However, the inspection methods for meat products are still at a relatively low level. The traditional sensory inspection, physical and chemical inspection, and microbial inspection have shortcomings such as high subjectivity, single index, and long time-consuming, which are inconvenient for on-site application, which limits the use in storage, transportation, and sales. Link to the inspection of meat products. [0003] The rise of emerging dete...

AI Technical Summary

Problems solved by technology

However, the inspection methods for meat products are still at a relatively low level. The traditional sensory inspection, physical and chemical inspection, and microbial inspection have shortcomings such as high subjectivity, single index, and long time-consuming, which are inconvenient for on-site application, which limits the use in storage, transportation, and sales. Links to the inspection of meat products

[0003] The rise of emerging detection methods such as detection methods based on electronic nose, conductivity, and meat color has opened up new ways for rapid detection of meat products, but these technologies are destructive to samples to varying degrees, and the detection results and traditional detection indicators are affected by samples. Limitations of factors such as individual differences affecting significantly

Non-destructive and rapid methods for comprehensive testing of multiple quality indicators of meat products are still missing

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