Apple grading device based on machine vision and near infrared spectrometer

A near-infrared spectrometer and grading device technology, applied in the direction of sorting, can solve the problems of single detection function or grading function, unable to detect the quality of apples at the same time, unable to realize pipeline operation, etc., to achieve the effect of high detection efficiency

Inactive Publication Date: 2014-01-22
JIANGNAN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, at present, domestic detection and grading devices for apples often only have a single detection function or grading function. For example, some devices have the function of sugar content detection, and some have the detection function of a

Method used

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  • Apple grading device based on machine vision and near infrared spectrometer
  • Apple grading device based on machine vision and near infrared spectrometer

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Experimental program
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Embodiment Construction

[0006] Attached below figure 1 And embodiment the structure of the present invention is described further.

[0007] figure 1 The connection arrows between the devices in the figure indicate the direction of signal transmission, figure 2 The middle arrow indicates the direction of rotation. The servo motor drives the turntable 14 to rotate, and the apple 13 is placed on the supporting roller 8 and rotates with the turntable. When a new apple enters the detection area, the photoelectric switch 15 generates a switch signal and transmits it to the industrial computer 1, and the industrial computer 1 sends a detection order to the nearest apple. The infrared spectrometer 2 and the cameras 4, 5, 6, 7, the near-infrared spectrometer 2 detects the internal quality of the apple through the infrared probe 3, while the cameras 4 and 5 detect the appearance quality of the two sides of the apple, and the camera 6 detects the front appearance quality of the camera, Camera 7 detects the ...

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Abstract

The invention employs machine vision and near infrared spectroscopy to detect appearance qualities (such as size, defects and the like) of apples and internal qualities (such as sugar content, acidity and the like). The device employs the wheel-turning way, and the pipeline detection of apples is guaranteed. Apples are driven to rotate through friction belt wheels. Then apples are subjected to all-directional detection without dead angle by four cameras. A near infrared spectrometer is employed for nondestructive testing of apple internal qualities. The device inputs and outputs signals through an industrial control computer. The industrial control computer processes images and spectroscopic data firstly, then determines grades of apples, then controls an execution mechanism to classify and process the apples. The detection procedures of apples are all on line without manual intervention. The device has high detection efficiency and is suitable for pipeline detection of apples.

Description

technical field [0001] The invention relates to a device for evaluating and grading apples. The device uses machine vision to detect the appearance quality (size, shape, defects, etc.) of apples, and uses a near-infrared spectrometer to analyze the internal quality (sugar content, acidity, etc.) of apples. And according to the detection value, the apples are graded. Background technique [0002] my country is a big country in apple production and consumption, as well as a big exporter. With the strict export inspection and the gradual improvement of the domestic market inspection, more and more attention has been paid to the detection and classification of apples. Traditional apple grading in my country generally adopts manual methods. Operators grade apples according to the size, shape and defects of apples. The productivity is low and the grading effect is unstable. At the same time, the food attributes of apples determine that it is very important to quantitatively dete...

Claims

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Application Information

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IPC IPC(8): B07C5/00B07C5/34B07C5/04B07C5/342B07C5/36
Inventor 赵忠盖李庆华刘飞
Owner JIANGNAN UNIV
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