Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Walnut kernel grading method and walnut kernel grading device based on machine vision

A technology of machine vision and grading method, which is applied in the direction of instruments, sorting, computer parts, etc., and can solve problems such as high labor intensity

Active Publication Date: 2018-11-23
XINJIANG AGRI UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a kind of walnut kernel grading method and walnut kernel grading device based on machine vision, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem of manual visual inspection method for grading walnut kernels and high labor intensity

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Walnut kernel grading method and walnut kernel grading device based on machine vision
  • Walnut kernel grading method and walnut kernel grading device based on machine vision
  • Walnut kernel grading method and walnut kernel grading device based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] Embodiment 1: as attached figure 1 Shown, the walnut kernel grading model construction method of machine vision grading equipment, its steps are as follows:

[0072] The first step: as attached figure 1 As shown, to obtain historical sample data, the specific operation is as follows:

[0073] Through manual grading, obtain the historical data of 30 walnut kernel samples of the five grades (such as Table 2-1 walnut kernel grades) of the first grade, second grade, third grade, fourth grade and other grades; Each walnut kernel sample is sent to the machine vision equipment through the conveying platform; among them, the camera passing through the machine vision equipment needs to perform white balance correction, and blue can be initially selected as the background color of the single image acquired by the camera, which can increase the distance between the target color and the North The background color gap increases the segmentation effect;

[0074] The second step: a...

Embodiment 2

[0188] Embodiment 2: as attached Figure 13 Shown, a kind of walnut kernel grading device based on machine vision-based walnut kernel grading method and walnut kernel grading device includes mobile platform 1, machine vision equipment, controller 5, pushing mechanism and classification discharge trough; On mobile platform 1 Machine vision equipment is housed on it, and machine vision equipment comprises light box 2, camera 3 and PC host 4; Camera 3 is positioned at light box 2, and is electrically connected with PC host 4; PC host 4 is electrically connected with described controller 5; The box 2 is fixedly installed on the upper end of the platform frame of the mobile platform 1; the left side entrance 6 and the right side exit 7 are provided on the light box 2 along the direction of the mobile platform 1; the rear side of the mobile platform 1 in the light box 2 is spaced along the left and right At least two grading discharge troughs are fixed, and a push mechanism that can...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of grading and tracking based on machine vision, in particular to a walnut kernel grading method and walnut kernel grading device based on the machine vision. The walnut kernel grading method based on the machine vision sequentially comprises the following steps that historical sample data are obtained, images are processed, the images are segmented, anoriginal characteristic matrix is established, characteristics are selected, a model is founded, and grading and tracking are carried out. According to the walnut kernel grading method and walnut kernel grading device based on the machine vision, the structure is reasonable and compact, and use is convenient. After walnut kernel images are collected through the machine vision, tracking and grading are carried out on the walnut kernels by a PC host, after the walnut kernels reach a grading position, and the walnut kernels are blown into a grading discharge groove in a method of air-blowing, sothat grading of the walnut kernels is realized. The characteristics of bin19, K1 and bin15 are adopted, and a naive bayesian classification method with the best classification effect is utilized as agrading model of the walnut kernels. The grading processing is high in speed, automatic grading of dynamic walnut kernels can be realized on a conveying platform, manual grading is replaced, and labor is saved.

Description

technical field [0001] The invention relates to the technical field of machine vision-based walnut kernel grading device and method, and relates to a machine vision-based walnut kernel grading method and a walnut kernel grading device. Background technique [0002] Walnuts, also known as walnuts and Qiang peaches, are native to Central Asia and are now widely cultivated and distributed in 24 provinces including Yunnan, Shanxi, and Xinjiang. Reached about 560,000 tons. Walnut kernel is rich in nutrition, contains a large amount of phospholipids, protein and vitamins, and the oil content is as high as more than 60%, and has higher economic value and nutritional value. After the walnuts are mature, picked and stored, they generally go through processes such as peeling, rinsing, and drying. Each process may affect the quality of walnuts, and due to their high oil content, mildew, insect damage, and deterioration may occur during storage. Phenomenon. Simultaneously, because th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B07C5/342B07C5/02B07C5/36G06K9/46G06K9/62
CPCB07C5/02B07C5/342B07C5/361G06V10/50G06V10/56G06F18/2155G06F18/2431Y02P90/30
Inventor 周军郭俊先张静姜彦武蔡建
Owner XINJIANG AGRI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com