Feed raw material automatic sampling and identification system and method based on machine vision

Abstract

The invention discloses a feed raw material automatic sampling and identification system based on machine vision. The feed raw material automatic sampling and identification system comprise an image acquisition module and a remote detection module, wherein the image acquisition module adopts a near infrared microscopy imaging spectrometer to acquire near infrared imaging spectroscopic data of a feed raw material; the image acquisition module is electrically connected to remote detection; the remote detection module is used for carrying out contrastive analysis on chemical substance concentration in the feed raw material; and the remote detection module is electrically connected to the image acquisition module. According to the invention, the chemical substance concentration in the feed rawmaterial is subjected to contrastive analysis by the remote detection module and a data storage module, so that detection efficiency is improved and human resources are also saved; moreover, after detection, a result can be visually shown by an audio and video module, so that a detection system for the feed raw material is further perfected; and the system is applicable to identification detection of various feeds and is wide in applicability.

Description

technical field [0001] The invention relates to the technical field of automatic sampling and identification of feed raw materials, in particular to an automatic sampling and identification system for feed raw materials based on machine vision, and also relates to a method for automatic sampling and identification of feed raw materials based on machine vision. Background technique [0002] With the progress of my country's aquaculture industry, the feed industry is growing day by day, and the feed industry has made great achievements. However, a series of problems about the quality of feed have emerged. Problems in feed quality will affect the health of animals and cause pollution. Food will ultimately affect human safety. Having good quality feed ingredients is a prerequisite for obtaining high-quality feed. In order to prevent impurities and contamination in feed ingredients, professional identification and testing of feed ingredients is required before feed processing . ...

AI Technical Summary

Problems solved by technology

[0002] With the progress of my country's aquaculture industry, the feed industry is growing day by day, and the feed industry has made great achievements. However, a series of problems about the quality of feed have emerged. Problems in feed quality will affect the health of animals and cause pollution. Food will ultimately affect human safety. Having good quality feed ingredients is a prerequisite for obtaining high-quality feed. In order to prevent impurities and contamination in feed ingredients, professional identification and testing of feed ingredients is required before feed processing

[0003] The existing feed raw material automatic sampling and identification system takes out the feed raw material through the automatic retrieving equipment, and then measures the temperature, humidity and pH of the feed raw material, but the detection of the concentration of chemical substances in the feed raw material is done manually. It is time-consuming, inefficient and requires multiple staff members, which is a great waste of time and human resources. Therefore, we propose a system and method for automatic sampling and identification of feed ingredients based on machine vision

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