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Granular material sorting classifying method based on visual sense recognition

A granular material and visual recognition technology, applied in character and pattern recognition, sorting, instruments, etc., can solve the problems of ineffective sorting of materials and limited resolution accuracy, so as to improve the efficiency of grading and sorting and ensure the quality of grading and sorting , fast and intelligent effect

Inactive Publication Date: 2008-08-06
HUAHE NEW TECH DEV COMPANY RES INST OF PHYSICAL & CHEM ENG OF NUCLEAR IND
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Problems solved by technology

[0005] Due to the characteristics of the silicon photodetection device itself, when some colors are very rich and the colors of the normal materials and the materials to be rejected are very close (such as green and light yellow raisins in raisins), the resolution accuracy is limited. Therefore, based on this detection The sorting device of the device may not be able to effectively sort some materials

Method used

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  • Granular material sorting classifying method based on visual sense recognition
  • Granular material sorting classifying method based on visual sense recognition
  • Granular material sorting classifying method based on visual sense recognition

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Embodiment Construction

[0047] Hereinafter, the visual recognition-based granular material sorting and grading method of the present invention will be described in detail with reference to the accompanying drawings and embodiments:

[0048] As shown in Figures 1 and 2, a sorting and grading method for granular materials based on visual recognition, in which the sorting and grading device includes a mechanical installation bearing platform 1, a color touch screen 2 and an embedded visual processing control platform 3.

[0049] A material storage box 4 , a feeding and thinning system 5 , an optical imaging system 6 and a rejecting actuator 7 are installed in the mechanical installation carrying platform 1 .

[0050] Wherein, the feeding and diluting system 5 can be applied to different material diluting conveying devices according to different sorting and grading materials. For materials with smaller particles such as rice, a chute-type structure is adopted; for materials with larger particles such as ...

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Abstract

The invention discloses a particulate material separation and classification method based on visual identity. The method comprises obtaining sample images, image feature information preprocessing, designing classifiers, establishing feature information expert database, proposed material separation to match with the feature information expert database and carrying out separation and classification. The separation and classification method overcomes the shortcomings of current poor technical accuracy, low efficiency and being easy to cause the secondary pollution, etc. and the separation and classification method ensures the product quality, realizes fast intelligence and improves the separation and classification effect of particulate materials.

Description

technical field [0001] The invention belongs to a granular material sorting and grading method, in particular to an intelligent visual recognition-based granular material sorting and grading method using embedded visual image technology and pattern recognition technology. Background technique [0002] With the development of my country's grain industry and the development of food deep processing technology, color sorting technology and near-infrared spectral analysis technology have been gradually applied to the classification and sorting of agricultural and sideline products such as rice. Essentially, the classification and sorting requirements of these agricultural products are It has a certain similarity, that is, it belongs to the granular materials that need to be sorted and graded according to the color and intrinsic quality. However, due to the different spectral characteristics of these sorting materials and the great differences in their sorting and grading standards...

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Application Information

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IPC IPC(8): B07C5/34G06K9/62
Inventor 赵永福徐晓明张海顺王双朱体高胥和平王志为丁涛
Owner HUAHE NEW TECH DEV COMPANY RES INST OF PHYSICAL & CHEM ENG OF NUCLEAR IND
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