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Recognition device for tobacco impurities and removing device for tobacco impurities

A technology for identifying devices and tobacco, applied in measuring devices, material analysis through optical means, instruments, etc., can solve the problems of low accuracy of tobacco impurities, large tobacco color, and difficulty in accurately grasping by computer, so as to avoid unsustainable work, the effect of improving the recognition accuracy

Active Publication Date: 2016-08-31
廖鲁昕
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when taking pictures of tobacco impurities, it is difficult for the computer to accurately capture the characteristics of tobacco impurities in the tobacco photos due to the irregular shape of the tobacco, the large span of the tobacco color, the shooting angle of the tobacco photos, and the uncertainty of the shooting light. The accuracy of tobacco impurity identification using image recognition processing is low

Method used

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  • Recognition device for tobacco impurities and removing device for tobacco impurities
  • Recognition device for tobacco impurities and removing device for tobacco impurities
  • Recognition device for tobacco impurities and removing device for tobacco impurities

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Embodiment Construction

[0055] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0056] The invention provides a tobacco impurity identification device, such as figure 1 As shown, it includes: a laser generating module 100, a scanning module 200, a collimating module 300, a spectroscopic module 400, a conversion module 500 and a processing module 600; wherein:

[0057] The laser generating module 100 is configured to send scanning laser light to the scanning module 200, and the scanning laser light includes 405nm laser light, green light and red light; wherein, the red light wavelength range is 630-780nm (in the red light Do not choose 680nm wavelength), the green light wavelength range is 500-570nm;

[0058] The scanning module 200 is a vibrating mirror, which is used to scan the sample to be identified by using the scanning laser. The scanning laser is reflected by the sample to be identified and becomes diffuse reflection ligh...

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Abstract

The invention discloses a recognition device for tobacco impurities and a removing device for tobacco impurities and belongs to the technical field of recognition and removing of tobacco impurities. The recognition device for tobacco impurities comprises a laser generating module, a scanning module, an aligning module, a light splitting module, a conversion module and a processing module. The three-primary color principle or the characteristic wavelength of unqualified tobaccos is utilized to accurately restore the color information of the surface of a sample to be recognized without the influence of the features of the sample to be recognized and the detection environment, so that the accuracy of recognizing the tobacco impurities and unqualified tobaccos is increased. The removing device for tobacco impurities comprises a vibration device, a guide chute, a recognition device, a gas spraying device, an impurity slot, a qualified slot and a fixing bracket. After being vibrated, scattered and separated by the vibration device, the tobaccos to be sorted pass through the guide chute, the detecting area and the qualified slot (or the impurity slot) in turn from a discharging port of the vibration device, so that the purpose of automatically removing the tobacco impurities of the tobaccos to be sorted is achieved, the efficiency of removing the tobacco impurities is increased, and the labor cost is lowered.

Description

technical field [0001] The present application relates to the technical field of identifying and removing tobacco impurities, and in particular to a device for identifying tobacco impurities and a device for removing tobacco impurities. Background technique [0002] Tobacco (semi-finished cigarette raw materials such as tobacco sheets or stems) needs to be identified and removed from the tobacco impurities (foreign matter or unqualified tobacco) mixed in the tobacco before entering the tobacco shredding process to ensure the quality of the tobacco. When removing tobacco impurities in the prior art, manual sorting or image recognition processing is usually used for identification and removal operations. [0003] The manual sorting method is to actively identify and eliminate tobacco through a large number of workers who have the ability to identify tobacco impurities. This tobacco impurity removal method needs to deploy a large number of workers with professional skills (the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/892B07C5/342
CPCB07C5/3422G01N21/892
Inventor 廖鲁昕
Owner 廖鲁昕
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