A Soybean Grading Device Based on Embedded Machine Vision

Abstract

The invention relates to a soybean seed grading device based on embedded machine vision. The soybean seed grading device comprises a sloping mechanical preliminary sorting system, an embedded machine vision system, an intelligent control system, an automatic aligning system, a seed self-rotating and real-time eliminating system and a collecting system. When the soybean seed grading device is started, soybean seeds are sorted by the sloping mechanical preliminary sorting system, the most inferior soybean seeds are sorted out and put into a waste tank, and the remaining soybean seeds are conveyed into the automatic aligning system; by utilization of circular grooves in the surface of a conveying belt in the automatic aligning system, the soybean seeds are automatically aligned, and the aligned soybean seeds are conveyed into the seed self-rotating and real-time eliminating system; when entering a dark box in the seed self-rotating and real-time eliminating system, the soybean seeds perform self-rotating action under the action of a secondary sorting mechanism; through an image acquiring device, the surface parameters of the soybean seeds in the self-rotating state are acquired by the embedded machine vision system in real time, and then the soybean seeds are distinguished and analyzed; and according to feedback information of the embedded machine vision system, the soybean seeds of different qualities are sorted and put into different collectors, thereby achieving multi-grade sorting of the soybean seeds. The soybean seed grading device has the characteristics of being light and convenient, efficient and correct, and can be applied to sorting of grain seeds.

Description

technical field [0001] The invention relates to an automatic grain sorting device, in particular to an intelligent grain sorting device which uses an intelligent vision system and a mechanical system to sort grains. Background technique [0002] At present, the method of grain seed selection in my country is purely mechanical sorting, which relies on the experience of skilled workers. The reliability is not high, the workload is heavy, the sorting efficiency is low, and the general selection cannot detect surface damage and mildew. Grains, these make the seed selection effect unsatisfactory, can not reach the expected purpose. How to select seeds in an objective and reliable manner has always been a difficult problem in the past. However, in recent years, with the development and maturity of computer technology, traditional machinery combined with computer technology has made it possible to solve this difficult problem. [0003] Aiming at the shortcomings of the above-menti...

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Problems solved by technology

[0004] In order to overcome the shortcomings of the existing traditional purely mechanical sorting and seed selection methods, the present invention provides a soybean seed sorting equipment based on embedded machine vision

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