Panoramic-vision potato sorting and defect detection device as well as sorting detection method thereof

Abstract

The invention discloses a panoramic-vision potato sorting and defect detection device which comprises a conveying device, a detection camera obscura, a sorting mechanism, an infrared sensor module, an image acquisition mechanism, an image processing-analyzing module, a data fusion module and a time sequence module, wherein a convolutional neural network and a support vector machine I (SVM I) are built in the image processing-analyzing module; an SVM II is built in the data fusion module; and the time sequence module is used for coordinating actions of all parts. The invention further discloses a potato sorting detection method using the above device. According to the device and the potato sorting detection method disclosed by the invention, all-around detection can be completed without turning over potatoes in a detection process. Accordingly, the potatoes can be protected from unnecessary damage on the one hand, and on the other hand, the instability during dynamic photo taking and detection can be avoided, and the image clarity and the detection accuracy can be improved. The device and the potato sorting detection method can be widely applied to real-time online detection of the external quality of potatoes, namely a kind of agricultural product, and has significance for promoting development of the Chinese potato industry.

Description

Technical field [0001] The invention relates to a device and method for detecting the appearance quality of agricultural products, in particular to a potato sorting and defect detection device and a detection method. Background technique [0002] Shape and surface defects are important characteristics of potato appearance quality. Through quantitative measurement of these characteristic indicators, comprehensive detection and classification of potato external defects, shape and other indicators can be completed. [0003] my country is the world's largest potato producer, and most of the potato quality testing is still at the stage of identifying and judging by artificial senses. This method of manual detection and evaluation of potato quality has low efficiency, poor objectivity and accuracy, and is difficult to meet the requirements of high-standard grading, and is not conducive to the realization of large-scale and automated quality inspection operations. [0004] The use of machi...

AI Technical Summary

Problems solved by technology

This patent adopts the method of hitting fruits and vegetables head-on, and the sorted fruits and vegetables fall directly into the material bin, which is easy to cause damage to the fruits and vegetables

[0010] 2. The announcement number is CN 104056790 A, a utility model patent titled "A Method and Device for Intelligent Potato Sorting", which solves the problem that existing potato grading equipment can only be classified according to weight, and although some equipment can be classified according to appearance characteristics, but The grading algorithm is more complex and cannot well meet the requirements of real-time detection and other issues

[0013] Although the above-mentioned patents propose a potato sorting method and potato grading equipment, although some equipment can be graded according to the appearance characteristics, because only one camera is used, the potatoes need to be turned over, and the defect detection is not comprehensive, and there is a probability of missed detection, and The means of analyzing and processing the photos taken by the camera are relatively simple, and the images cannot be analyzed accurately, quickly and comprehensively, and the analysis results are not satisfactory

In addition, turning the potatoes can also cause damage to the potatoes

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