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

Online measurement method and device of dimensions of massive agricultural products based on machine vision

A machine vision and measurement method technology, applied in the direction of measurement devices, optical devices, instruments, etc., can solve the problems affecting the accuracy of sorting results, visual fatigue, sensitivity interference, etc., to eliminate the interference of subjective factors, liberate labor, improve The effect of credibility

Active Publication Date: 2012-01-11
BEIJING RES CENT FOR INFORMATION TECH & AGRI
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The sensory evaluation is to sort the qualified and unqualified lumped agricultural products by judging the size and color of the lumped agricultural products one by one by trained professional sorting personnel, but the sensitivity of human sensory organs is limited. The interference of factors such as experience, mental state, physical condition, and surrounding environment, and long-term tedious repetitive work can easily cause visual fatigue, thereby affecting the accuracy of the sorting results
At present, there is no method and device for automatic on-line detection of the qualified rate of block agricultural products by using machine vision

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
  • Online measurement method and device of dimensions of massive agricultural products based on machine vision
  • Online measurement method and device of dimensions of massive agricultural products based on machine vision
  • Online measurement method and device of dimensions of massive agricultural products based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0030] Such as figure 1 Shown is the on-line measurement device for the size of block agricultural products based on machine vision of the present invention. Taking potato dices as an example, its working process is as follows: potatoes are cut into potato dices in the fresh cutting tool 1, and through the vibrator 2, the potato dices are cut into diced potatoes. Evenly convey to below the CCD of camera 5 through conveyor belt 3, adjust the height of support frame 9 and the focal length of camera 5, make the upper edge of camera lens 5 and conveyor belt keep on a horizontal plane, and make the diced potatoes to be tested in camera 5 The size of the LED light source is app...

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 discloses an online measurement method and device of dimensions of massive agricultural products based on machine vision. The method comprises the following steps: setting a clocked flip-flop camera to acquire images of one-frame massive agricultural products at certain intervals along the conveying direction of the massive agricultural products according to the conveying rate of a conveyor belt; preprocessing the acquired images of the massive agricultural products and separating the massive agricultural products from own backgrounds; extracting the connected regions to obtain the independent massive agricultural product, computing the areas of the massive agricultural products and removing the massive agricultural products with unqualified areas, then computing the minimumrectangle containing the massive agricultural products with qualified areas and computing the degree of fitting of the rectangle; and judging the massive agricultural products with qualified degree of fitting and dimensions but with difference beyond the set threshold to be the massive agricultural products with unqualified dimensions and computing the qualified rate of the massive agricultural products. The method has the advantages of more objective and fair results and no damage to human health and sanitation of the massive agricultural products.

Description

technical field [0001] The invention relates to the field of on-line quality detection in an automated production process, in particular to an on-line measurement method and device for the size of block agricultural products based on machine vision. Background technique [0002] Machine vision is a comprehensive technology that integrates digital image processing, machinery, control, lighting, optics, computer software and hardware and other technologies. Machine vision system can realize non-destructive detection of products and quickly obtain a large amount of information. Therefore, machine vision technology, as an important detection method, has attracted increasing attention and is widely used in the fields of finished product inspection and quality control. [0003] The qualification rate of raw-cut agricultural products is mainly determined by the two appearance characteristics of the size and color of the agricultural products. In machine vision, different color inf...

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 Patents(China)
IPC IPC(8): G01B11/28G08C23/06
Inventor 王开义张水发刘忠强赵春江
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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