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Method and device for banknote thickness abnormality identification

A banknote and abnormal technology, applied in the identification method and device field of abnormal banknote thickness, can solve the problem of low recognition rate of abnormal banknotes, achieve the effect of improving the recognition rate, improving the accuracy rate, and reducing the time consumed

Active Publication Date: 2017-07-21
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a method and device for identifying abnormal banknote thickness to solve the technical problem of low identification rate of abnormal banknotes in the prior art

Method used

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  • Method and device for banknote thickness abnormality identification
  • Method and device for banknote thickness abnormality identification
  • Method and device for banknote thickness abnormality identification

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Experimental program
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Embodiment 1

[0022] Embodiment 1 of the present invention provides a method for identifying abnormal banknote thickness. The method can be executed by an identification device for abnormal banknote thickness, wherein the device can be implemented by software and / or hardware, and generally can be integrated in an automatic deposit and teller machine. Figure 1A It is a schematic flow chart of the method for identifying abnormal banknote thickness provided by Embodiment 1 of the present invention, as shown in Figure 1A As shown, the method includes:

[0023] S101 , detect the thickness of the banknote by using at least two thickness sensors, each of which acquires a set of first thickness information corresponding to each target point of the banknote.

[0024] Specifically, the number and type of thickness sensors can be flexibly set according to needs. For example, the thickness of banknotes can be detected by 10 or 12 thickness sensors. The number of each thickness sensor can be one, and t...

Embodiment 2

[0037] figure 2 It is a schematic flowchart of a method for identifying abnormal banknote thickness provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. Further, the method for identifying abnormal banknote thickness provided by this embodiment may also include : if the first ratio is greater than or equal to the first ratio threshold, then determine the second thickness range corresponding to the detection position of each thickness sensor of the banknote according to the setting method; obtain the first thickness information in each group of target points respectively The maximum number of continuous target points that are all located outside the second thickness range; if the second ratio of the maximum number in the total number of target points in this group is greater than the second ratio threshold, then determine the banknote’s Abnormal thickness.

[0038] Further, the method for identifying ...

Embodiment 3

[0062] image 3 It is a schematic flowchart of a method for identifying abnormal banknote thickness provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. Thickness detection, each of the thickness sensors obtains a set of first thickness information corresponding to each target point of the banknote, and the optimization is: through at least two sensors, the thickness of the banknote is detected to obtain the information of each group of collection points corresponding to each thickness sensor The first thickness detection value; sampling each group of collection points according to the set sampling rules to determine each group of target points of the banknote; according to the detection interval corresponding to the first thickness detection value of each target point and the endpoint of the detection interval The first thickness information of each target point in each group is determined by the corr...

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Abstract

The embodiments of the invention disclose a method and a device for banknote thickness abnormality identification. The method comprises the following steps: detecting the thickness of a banknote through at least two thickness sensors, wherein each thickness sensor acquires a set of first thickness information corresponding to the target points of the banknote; calculating the average value of each set of first thickness information, and getting second thickness information corresponding to each thickness sensor; and if a first proportion of the thickness sensors of which the second thickness information is within a first thickness range is less than a first proportion threshold, judging that the thickness of the banknote is abnormal. By employing the technical scheme, under the premise of ensuring the speed of banknote thickness abnormality identification, the accuracy of banknote thickness abnormality identification is increased, the time consumed by artificial identification is reduced, and the identification rate of banknotes with abnormal thickness is increased.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of paper thickness detection, and in particular to a method and device for identifying abnormal thickness of banknotes. Background technique [0002] Along with the quickening of people's life rhythm and the increase of currency cash circulation frequency, automatic teller machine has gradually become one of the most commonly used tools for depositing and withdrawing money. [0003] During the circulation of banknotes, as the number of times of use increases, the banknotes will inevitably be damaged and incomplete. When the banknotes are damaged, people often use scotch tape to paste the damaged parts of the banknotes. For banks, when damaged banknotes appear, they need to be recovered in a timely manner. Therefore, in order to reduce the manpower and material resources required for identifying incomplete and damaged banknotes, a banknote verification module is usually installed in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07D7/164
CPCG07D7/164
Inventor 唐辉平
Owner SHENZHEN YIHUA COMP
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