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On-line fruit quality detection and classification apparatus and method based on three camera chains

A fruit grading and quality inspection technology, applied in measuring devices, image analysis, sorting, etc., can solve the problems of inaccurate detection data and high detection costs

Inactive Publication Date: 2005-04-06
JIANGSU UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these two methods have the detection cost is too high, and the detection data is not accurate enough, and the problem of identification of fruit stem and fruit calyx cannot be solved.

Method used

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  • On-line fruit quality detection and classification apparatus and method based on three camera chains
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  • On-line fruit quality detection and classification apparatus and method based on three camera chains

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Embodiment Construction

[0031] Such as figure 1 As shown, the present invention is made up of fruit conveying turning part 2, computer vision recognition part and fruit automatic grading action part 15, and the structure of fruit conveying turning part 2 and fruit automatic grading action part 15 is the same as related patent " fruit quality real-time detection and grading Robot System" (Application No.: 02136377.3) figure 2 , Figure 4 , Figure 5 As shown, the double-tapered rollers driven by the chain are set to advance, and the rollers can freely rotate around the horizontal small axis. Fruit conveying turning device. There are many optional devices for the fruit automatic grading action part 15, such as the grading action part in the utility model patent "fruit quality intelligent detection and grading production line" (application number: 02266034.8) of Ying Yibin et al., and Zhang Cong et al. The air jet sorting device in the utility model patent "a fruit classifier" (application number: 0...

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Abstract

The invention involves the fruit detector set and the method, it is composed by the fruit turns over transportation part, the computer vision recognition part and the fruit graduation movement part.Its characteristic lies in, the computer vision recognition part,it has three by line scan color photograph system, an illumination box, two electro-opticals sensor, a synchromesh,the high speed data communication module, control module and corresponding software combination.The fruit highly speed transports and circles the horizontal axis to do free rotation, guaranteed when it through computer vision recognition part the fruit can turn over about 240; The computer vision recognition parts through three photographs systems, gathers 9pictures to each fruit, fuses these picture information, withdraws the quality characteristic information, again uses the recognition software union knowledge library fruit shape, the size, the color, the flaw and so on the complete outward appearance quality examination, and usest he control module to control fruit graduation movement.Its is very convenient to discriminate fruit stalk of the fruit and the fruit calyx,enhances fruit's examination precision to the shape and the size and the flaw.

Description

Technical field [0001] The invention relates to a machine vision detection device and method for real-time online detection and classification according to the characteristics of items, in particular to a method and device for online fruit quality detection and classification based on three camera systems on a high-speed fruit detection line. Background technique [0002] With the rapid development of computer technology, image processing technology, pattern recognition technology and electronic technology, fruit grading using machine vision technology has been extensively studied. Foreign countries began to study fruit grading systems based on computer vision technology in the early 1990s, and now there are some practical products, such as the OSCARTM and MERLIN high-speed fruit grading production lines in the United States, which are used for apples, pears, oranges, and peaches. Grading and quality inspection of fruits and vegetables. Related U.S. patents have, the U.S. p...

Claims

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Application Information

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IPC IPC(8): B07C5/34G01N33/02G06T7/00
CPCG01N33/025
Inventor 赵杰文黄星奕邹小波蔡健荣
Owner JIANGSU UNIV
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