Real-time soybean detection instrument

Abstract

The invention discloses a real-time soybean detection instrument. The real-time soybean detection instrument comprises a sample conveying device, an image acquisition device, a triggering device and an image processing device, wherein the triggering device is mounted on the sample conveying device; an image acquisition position and the image processing device are located above the sample conveying device; the image acquisition position is connected with the image processing device and comprises a CCD camera, a light source and a hyper-spectral shooting instrument which are arranged above the sample conveying device and located at the image acquisition position. The real-time soybean detection instrument can quickly and accurately detect soybeans without influencing the quality of the detected soybeans, and can improve the soybean detection efficiency, realize automatic detection and effectively reduce the labor intensity of detection operators; as the CCD camera only shoots the surface information of the soybeans, the data amount is relatively small, the processing speed is relatively high, and accordingly, the soybeans can be quickly and accurately detected; besides, the real-time soybean detection instrument is simple in structure and relatively low in cost.

Description

technical field [0001] The invention relates to the technical field of automatic detection of agricultural products, in particular to a soybean real-time detection instrument. Background technique [0002] With the improvement of living standards, people's requirements for food safety are also increasing. At present, before soybeans enter the market, soybean production companies need to test soybeans to ensure product quality. Existing soybean testing generally uses The method of sampling inspection is to randomly select a test sample from a batch of soybeans, analyze the test sample, and judge whether the batch of soybeans is qualified according to the quality of the sample. [0003] For sampling detection, its accuracy is related to the size of the detection sample. The larger the detection sample, the higher the accuracy of sampling detection. However, the prior art generally needs to perform destructive detection on the detection sample, that is, to obtain Slicing or ex...

AI Technical Summary

Problems solved by technology

[0003] For sampling detection, its accuracy is related to the size of the detection sample. The larger the detection sample, the higher the accuracy of sampling detection. However, the prior art generally needs to perform destructive detection on the detection sample, that is, to obtain Slicing or extracting samples for testing, analysis, and other related operations will result in the tested samples not being sold to the market, which in turn will result in testing samples that cannot be very large, otherwise it will affect the yield of soybeans

In addition, the sampling inspection of the existing technology takes a long time. For fresh soybeans, the shorter the time to market, the better the freshness of soybeans can be guaranteed. If the time to market of soybeans is delayed due to sampling inspection, soybeans may be spoiled. , thus bringing greater economic losses to soybean producers

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