Supercharge Your Innovation With Domain-Expert AI Agents!

Cigar fresh leaf automatic grading method based on image recognition

An image recognition and automatic grading technology, applied in character and pattern recognition, tobacco, tobacco preparation, etc., can solve problems such as high labor costs, mixed parts, and doubts about grading results, so as to improve the efficiency and accuracy of grading, reduce The effect of reducing labor cost and improving accuracy

Pending Publication Date: 2022-03-04
YUNNAN ACAD OF TOBACCO AGRI SCI +1
View PDF8 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The grading of fresh cigar tobacco leaves is closely related to the quality of air-cured and fermented tobacco leaves. The grading of fresh leaves is particularly important. At present, the grading methods of fresh cigar tobacco leaves mainly include basket grading and rod grading. , grading by film, etc., but there are common problems such as large grading errors, low pass rate of grades, and great influence of subjective factors.
Furthermore, fresh cigar leaves should not be left overnight after being harvested. It is required that the tobacco leaves harvested on the same day must be weaved and entered into the drying room for conditioning. Fresh tobacco leaves must be graded and purchased within a short period of time. By employing a large number of grading personnel to sort and grade cigar fresh leaves, it results in high labor costs, inconsistent grading quality, and mixed parts. The grading results are questioned by the main body of the plant, and in serious cases, disputes and contradictions will arise.

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
  • Cigar fresh leaf automatic grading method based on image recognition
  • Cigar fresh leaf automatic grading method based on image recognition
  • Cigar fresh leaf automatic grading method based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Embodiment 1: as figure 1 As shown, this equipment is used for automatic grading of fresh cigar tobacco leaves, mainly including feed inlet 1, tobacco leaf feed conveyor 2, image recognition system 3 and balance wheel sorter 4, tobacco leaf feed conveyor 2 is located at the feed inlet 1 and the balance wheel sorter 4, the tobacco leaf feeding conveyor 2 can adopt a common belt transmission device, the image recognition system 3 is located above the tobacco leaf feeding conveyor 2, and the whole set of equipment is fully automated.

[0030] When sorting cigar leaves, first put the fresh cigar leaves to be detected in the feed port 1, and transport them to the image recognition system 3 through the tobacco leaf feed conveyor 2, and the image recognition system 3 starts the camera to collect images of the fresh cigar leaves to be detected , and process the image, and then use the tobacco leaf classification model to automatically classify it to obtain the classification re...

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 an automatic grading method for fresh cigar tobacco leaves based on image recognition, and belongs to the technical field of cigar tobacco leaf production. Fresh cigar leaves to be detected are placed at the feeding port and conveyed to the image recognition system through the tobacco leaf feeding conveyor, the image recognition system starts the camera to collect images of the fresh cigar leaves to be detected, the images are processed, then the images are automatically graded through the tobacco leaf grading model, and the grading result is obtained; and the tobacco leaf feeding conveyor forwards conveys the compared fresh cigar leaves to the balance wheel sorting machine for sorting, and the different grades of fresh cigar leaves are conveyed into different recovery channels. According to the method, the grade of the cigar fresh leaves is judged by using an image recognition technology, automatic sorting is realized, and the grading efficiency and accuracy of the fresh tobacco leaves are effectively improved.

Description

technical field [0001] The invention relates to an image recognition-based automatic grading method for fresh cigar leaves, and relates to the technical field of cigar leaf production. Background technique [0002] The production, planting, modulation, fermentation, grading and rolling of cigar tobacco leaves is an industrial chain with many production links and a long cycle, and it is the inheritance of production experience and technology. The production of cigar leaves in foreign countries such as Cuba, Indonesia and Dominica has a long history. Most of the foreign cigar leaves are planted and operated by farmers, and the production links such as harvesting, drying, grading and fermentation are all in accordance with the unified and mature production technology. The production is carried out according to the regulations, and the technicians are also very professional. Secondly, in the entire cigar production process, large growers or tobacco farmers strictly follow the G...

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): A24B3/16G06V10/764G06V10/54G06V10/56G06V10/40G06V10/80G06V10/774G06V10/82G06K9/62G06N3/04
CPCA24B3/16G06N3/04G06F18/214G06F18/24G06F18/25
Inventor 张光海吴玉萍孔光辉李永平赵高坤姚恒李薇陈琪方段宇鹏段正昌范文锋
Owner YUNNAN ACAD OF TOBACCO AGRI SCI
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More