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

TLDR: Wang et al. as mentioned in this paper proposed 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, a image processing-analyzing module, a data fusion module and a time sequence module.

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.