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On-line breakage recognition sorting device for corn seeds based on machine vision

A technology for identifying and classifying devices and machine vision, which is applied in sorting and other directions, and can solve the problems of corn seed damage detection without commercialization

Active Publication Date: 2018-10-16
SHANDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, domestic research on corn seeds based on machine vision mainly focuses on the quality identification and grading of corn seeds, and mainly focuses on static detection, and there is no high degree of commercialization of equipment for corn seed damage detection

Method used

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  • On-line breakage recognition sorting device for corn seeds based on machine vision
  • On-line breakage recognition sorting device for corn seeds based on machine vision
  • On-line breakage recognition sorting device for corn seeds based on machine vision

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Experimental program
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Embodiment Construction

[0020] The present invention will be described in further detail below in conjunction with the embodiments given by the accompanying drawings.

[0021] refer to figure 1 , an online damage recognition and classification device for corn seeds based on machine vision, mainly including a feeding device [1], a conveying device [2], an image acquisition device [3], a classification device [4], a control system [5], a fixed Shaft test bench [6], recovery seed box [7].

[0022] refer to figure 2 , a feeding device based on machine vision-based on-line damage identification and classification of corn seeds, which mainly includes a finger-clip seed metering device [8], a seed guide tube [11], an infrared radiation sensor [10], and a transmission gear set [ 12], stepper motor a and its driver [14], seat frame [9], seed storage box [13].

[0023] refer to image 3 , a conveying device for an online damage recognition and classification device for corn seeds based on machine vision. ...

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Abstract

The invention relates to the technical field of machine vision detection and particularly relates to a on-line breakage recognition sorting device for corn seeds based on machine vision. The on-line breakage recognition sorting device comprises a feeding device, a conveying device, an image acquisition device, a sorting device, a control system, a fixed shaft laboratory table and a recycling seedbox and is characterized in that through the on-line breakage recognition sorting device for the corn seeds, dynamic images can be acquired, a on-line breakage recognition dynamic detection function for the corn seeds can be realized, and broken corn seeds are separated from qualified corn seeds; a turntable type conveying mechanism of a simple structure is designed; an unqualified corn seed removing mechanism is designed, so that unqualified corn seeds can be accurately and effectively removed; and a on-line breakage recognition sorting control system for the corn seeds is designed. The on-line breakage recognition sorting device is simple in structure, accurate in recognition sorting, high in efficiency and great in effects. Through the fully automatic online real-time detection of the corn seeds, the detection of agricultural products can be more mechanized, automatic and intelligent.

Description

technical field [0001] The invention relates to the technical field of machine vision detection, in particular to a machine vision-based online damage identification and classification device for corn seeds. Background technique [0002] As one of the important food crops in my country, corn has become the largest food crop in my country since 2012 and has a very important strategic position. Because corn seeds will be damaged by various factors such as mechanical damage during harvesting and storage, which directly affects the germination rate of corn seeds and corn yield, so the damage detection of corn seeds before sowing is essential. This process can ensure the germination rate of corn seeds, which is of great significance to the increase of corn yield. [0003] Compared with manual inspection technology, machine vision inspection technology has the advantages of fast speed, high precision, and good repeatability, and has broad applications in the field of non-destruct...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B07C5/34B07C5/02B07C5/36
CPCB07C5/02B07C5/34B07C5/362B07C2501/0063
Inventor 赵静崔欣徐文腾马伟童李志铭杨焕波鲁文霞王伟
Owner SHANDONG UNIV OF TECH
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