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

A detection and classification device and detection method suitable for fresh tobacco leaves

A grading device and fresh tobacco leaf technology, applied in the field of detection and grading devices for fresh tobacco leaves, can solve the problems of difficulty in realizing fully automatic operation, unsuitable methods and device structures, etc., and achieve convenience for subsequent use, simple manual operation, and improved detection efficiency Effect

Active Publication Date: 2019-07-05
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI +1
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is mainly a sampling test, it is difficult to test every tobacco leaf before roasting, and it is difficult to realize fully automatic operation
The method and device for grading tobacco leaves based on machine vision detection are mainly used for tobacco leaves after curing [201710040874.3], and there are still inapplicable methods and device structures for grading tobacco leaves before curing

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
  • A detection and classification device and detection method suitable for fresh tobacco leaves
  • A detection and classification device and detection method suitable for fresh tobacco leaves
  • A detection and classification device and detection method suitable for fresh tobacco leaves

Examples

Experimental program
Comparison scheme
Effect test

example

[0039] Three types of tobacco leaves with different colors are manually classified, each of which has more than 8 tobacco leaves. In this experiment, 15 pieces are selected for each of the various samples. The detection and classification software of the device selects the sample learning and folds them in three Plant tobacco to learn. After learning through the sample, the tobacco leaf is then tested on a large sample. The first type of test was uniformly divided into the first collection box, the second type was uniformly divided into the second collection box, and the third type was uniformly divided into the third collection box. The experimental results show that the mixed tobacco leaves of large samples can be separated to form three types of tobacco leaves with the same color as the classified samples. The sorting results show that the color effects of the sorted tobacco leaves between different categories are obvious, and the colors between the same categories are simi...

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 a detection and grading device and a detection method suitable for fresh tobacco leaves. The detection and grading device comprises an automatic material ejecting mechanism, atobacco leaf grabbing module, a tobacco leaf transporting module, the fresh tobacco leaves, a tobacco leaf detection module, a control module, a tobacco leaf sorting module and a material collecting box. In view of non-importance and non-objectivity for tobacco leaf sorting of tobacco growers before tobacco leaves are sent for baking, the computer vision technology is applied to classify the maturity of the tobacco leaves following samples before the tobacco leaves are weaved and baked. Four feature values (R, G, B color values and hue H value) of the tobacco leaves are extracted for learninggrading using a cut-average method, and the maturity of the unknown tobacco leaves is compared and divided using a sample database. The image processing technology and the industrial control technology are applied to the quality detection and grading of the fresh tobacco leaves, automatic sampling and sorting are realized, and the detection efficiency of the sorting and the automation degree of the production of the fresh tobacco leaves are greatly improved.

Description

Technical field [0001] The invention relates to the technical field of tobacco detection, in particular to a detection and classification device and method suitable for fresh tobacco leaves. Background technique [0002] Tobacco planting, as the most basic and most important source link in the tobacco industry's industrial chain, urgently needs to inject the achievements of today's technological development. As the basic production group of the tobacco industry, tobacco growers currently mainly use traditional agricultural production models to carry out heavy and original production models without quality assurance. As today’s high-tech tobacco industry has realized the automation of industrial production in most of the links, it is necessary to invest more scientific and technological elements into the basic agricultural production at the source to improve the production environment of tobacco farmers, especially in the process of tobacco leaf planting Timely collection of toba...

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): B07C5/342B07C5/36B07C5/02A24B3/16
CPCA24B3/16B07C5/02B07C5/3422B07C5/361B07C5/362
Inventor 张龙赵树弥徐大勇堵劲松李志刚孙淼刘勇
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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