Method and device for identifying abnormal banknote thickness
A banknote and abnormal technology, which is applied in the identification method and device field of abnormal banknote thickness, can solve the problems of low recognition rate of abnormal banknotes, achieve the effects of improving the recognition rate, reducing the time consumed, and improving the accuracy rate
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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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