CN114724316A - Alarm method and device for automatic teller machine - Google Patents
Alarm method and device for automatic teller machine Download PDFInfo
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- CN114724316A CN114724316A CN202210514742.0A CN202210514742A CN114724316A CN 114724316 A CN114724316 A CN 114724316A CN 202210514742 A CN202210514742 A CN 202210514742A CN 114724316 A CN114724316 A CN 114724316A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
- G07F19/20—Automatic teller machines [ATMs]
- G07F19/209—Monitoring, auditing or diagnose of functioning of ATMs
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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Abstract
The application discloses an alarm method and device of an automatic teller machine, which can be applied to the fields of artificial intelligence, big data, Internet of things, mobile interconnection, network security or finance. The method comprises the following steps: extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; correcting the detection frame by using a perspective transformation technology, and transforming a quadrilateral detection area in the detection frame into a rectangular detection area; obtaining the actual distance between the first person and the second person in the corrected detection frame; and when the actual distance is smaller than the preset distance threshold value, alarming. The problem that information of a teller is revealed due to the fact that other people are too close to the teller can be avoided, and the safety of the automatic teller machine is improved.
Description
Technical Field
The application relates to the field of image recognition, in particular to an alarm method and device for an automatic teller machine.
Background
Currently, some Automatic Teller Machines (ATMs) have no closed wall or baffle to close the sight due to the limitation of the site selection, are open, and require 7X24 uninterrupted work due to the particularity of the ATM itself. This results in the possibility that the payee may inadvertently reveal personal information, such as the individual's bank card password in the case of a personal deposit, while using the ATM machine, thereby causing the payee's financial resources to be compromised.
Disclosure of Invention
In order to solve the technical problem, the application provides an alarm method and device for an automatic teller machine, which are used for alarming when a person is too close to the automatic teller machine, so that personal information of a teller of the automatic teller machine is protected, and property damage of the teller is avoided.
In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:
the embodiment of the application provides an alarm method of an automatic teller machine, which comprises the following steps:
extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area;
correcting the detection frame by utilizing a perspective transformation technology, and transforming a quadrilateral detection area in the detection frame into a rectangular detection area;
obtaining the actual distance between the first person and the second person in the corrected detection frame;
and when the actual distance is smaller than a preset distance threshold value, alarming.
As a possible implementation, the extracting a detection frame from a surveillance video of an automatic teller machine includes:
and extracting detection frames from the monitoring video of the automatic teller machine at preset time intervals.
As a possible implementation, the obtaining the actual distance between the first person and the second person in the corrected detection frame includes:
obtaining the coordinates of a first person and the coordinates of a second person in the corrected detection frame;
and calculating the actual distance between the first person and the second person according to the coordinates of the first person and the coordinates of the second person.
As a possible implementation, the method further includes:
and calculating the corresponding relation between the coordinates in the detection frame and the actual distance according to the side length of the actual detection area.
As a possible implementation, the calculating an actual distance between the first person and the second person according to the coordinates of the first person and the coordinates of the second person includes:
and calculating the actual distance between the first person and the second person according to the corresponding relation, the coordinate of the first person and the coordinate of the second person.
As a possible implementation, the obtaining coordinates of the first person and coordinates of the second person in the corrected detection frame includes:
determining the image of the first person and the image of the second person in the corrected detection frame through a human target detection model;
and determining the central point of the image of the first person as the coordinate of the first person, and determining the central point of the image of the second person as the coordinate of the second person.
As a possible implementation, when the actual distance is smaller than a preset distance threshold, alarming includes:
and when the actual distance is smaller than a preset distance threshold value, sending alarm information to the automatic teller machine or bank staff.
According to the alarm method of the automatic teller machine provided by the embodiment, the embodiment of the application further provides an alarm device of the automatic teller machine, which comprises the following steps:
the system comprises an extraction module, a detection module and a processing module, wherein the extraction module is used for extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area;
the correction module is used for correcting the detection frame by utilizing a perspective transformation technology and transforming a quadrilateral detection area in the detection frame into a rectangular detection area;
the actual distance obtaining module is used for obtaining the actual distance between the first person and the second person in the corrected detection frame;
and the alarm module is used for giving an alarm when the actual distance is smaller than a preset distance threshold value.
As a possible implementation manner, the extraction module is specifically configured to:
and extracting detection frames from the monitoring video of the automatic teller machine at preset time intervals.
As a possible implementation manner, the actual distance obtaining module is specifically configured to:
obtaining the coordinates of a first person and the coordinates of a second person in the corrected detection frame;
and calculating the actual distance between the first person and the second person according to the coordinates of the first person and the coordinates of the second person.
According to the technical scheme, the method has the following beneficial effects:
the embodiment of the application provides an alarm method of an automatic teller machine, which comprises the following steps: extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area; correcting the detection frame by using a perspective transformation technology, and transforming a quadrilateral detection area in the detection frame into a rectangular detection area; obtaining the actual distance between the first person and the second person in the corrected detection frame; and when the actual distance is smaller than the preset distance threshold value, alarming.
Therefore, according to the alarm method of the automatic teller machine provided by the embodiment of the application, whether the risk of information leakage of the automatic teller machine due to too close distance between people exists or not can be judged by detecting the people in the monitoring video and calculating the actual distance between the people through the perspective transformation technology. Therefore, according to the method provided by the embodiment of the application, the problem that information of a teller is leaked due to the fact that other people are too close to the teller can be avoided by identifying the monitoring video, the fact that the money and the money of the teller are damaged is avoided, and the safety of the automatic teller machine is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following descriptions are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an alarm method of an automatic teller machine according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a detection frame according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a rectified detection frame according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an alarm device of an automatic teller machine according to an embodiment of the present disclosure.
Detailed Description
In order to help better understand the scheme provided by the embodiment of the present application, before describing the method provided by the embodiment of the present application, a scenario of an application of the scheme of the embodiment of the present application is described.
Currently, some Automatic Teller Machines (ATMs) have no closed wall or baffle to close the sight due to the limitation of the site selection, are open, and require 7X24 uninterrupted work due to the particularity of the ATM itself. This results in the possibility that the payee may inadvertently reveal personal information, such as the personal bank card password of the individual in the case of a personal deposit, while using the ATM machine, thereby causing the payee's financial resources to be compromised.
The embodiment of the application provides an alarm method of an automatic teller machine, which comprises the following steps: extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area; correcting the detection frame by using a perspective transformation technology, and transforming a quadrilateral detection area in the detection frame into a rectangular detection area; obtaining the actual distance between the first person and the second person in the corrected detection frame; and when the actual distance is smaller than the preset distance threshold value, alarming.
Therefore, according to the alarm method of the automatic teller machine provided by the embodiment of the application, whether the risk of information leakage of the automatic teller machine due to too close distance between people exists or not can be judged by detecting the people in the monitoring video and calculating the actual distance between the people through the perspective transformation technology. Therefore, according to the method provided by the embodiment of the application, the problem that information of a teller is leaked due to the fact that other people are too close to the teller can be avoided by identifying the monitoring video, the fact that the money and the money of the teller are damaged is avoided, and the safety of the automatic teller machine is improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the drawings are described in detail below.
Referring to fig. 1, a flowchart of an alarm method of an automatic teller machine according to an embodiment of the present application is shown.
As shown in fig. 1, an alarm method for an automatic teller machine according to an embodiment of the present application includes:
s101: extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to the rectangular actual detection area.
S102: and correcting the detection frame by using a perspective transformation technology, and transforming a quadrilateral detection area in the detection frame into a rectangular detection area.
S103: and obtaining the actual distance between the first person and the second person in the corrected detection frame.
S104: and when the actual distance is smaller than the preset distance threshold value, alarming.
It should be noted that the monitoring video of the automatic teller machine in the embodiment of the present application may be a monitoring video shot by a camera on the automatic teller machine, and may be a monitoring video shot by a monitoring camera near the automatic teller machine, which is not limited herein.
Because the monitoring camera for shooting the monitoring video is usually fixed, the method provided by the embodiment of the application can be used for manually marking the preset quadrilateral detection area in the monitoring video. In this way, the detection frame extracted from the monitoring video of the atm at step S01 will also include a preset quadrilateral detection area. In practical applications, in order to identify the surveillance video in real time, detection frames may be extracted from the surveillance video of the automatic teller machine at preset time intervals, and then the detection frames are identified.
Referring to fig. 2, a schematic diagram of a detection frame according to an embodiment of the present disclosure is shown.
As shown in fig. 2, the detection frame may be rectified by a perspective transformation technique, so that the quadrilateral detection area in the detection frame is transformed into a rectangular detection area. It should be noted that, because the influence of the perspective principle is larger in the object image at the position close to the monitoring camera and smaller in the object image at the position far from the monitoring camera, the detection area which is rectangular in practice is also deformed, and the specific detection area is smaller at the side far from the monitoring camera than at the side close to the monitoring camera in the surveillance video. In order to avoid the influence of the difference on the calculation of the distance between the persons in the detection frame, the detection frame can be corrected by the perspective transformation technology in the embodiment of the application, so that the quadrilateral detection area of the terminal of the detection frame is restored to the rectangular detection area, and the influence of the perspective principle on the application can be reduced.
It should be noted that the first person and the second person in the embodiment of the present application may be "cardholders" labeled in fig. 2, or may also be "others" labeled in fig. 2, and the embodiment of the present application is not limited herein. In practical applications, the embodiments of the present application may not label "cardholder", "other person", and "atm" in the detection frame, and the relevant labels in fig. 2 are only used for the embodiments of the present application for convenience of understanding.
Referring to fig. 3, this figure is a schematic diagram of a corrected detection frame according to an embodiment of the present application.
As shown in fig. 3, the detection area provided in the embodiment of the present application is a rectangular detection area. In practical applications, in order to calculate the distance between the persons in the region to be detected, a coordinate system may be established in the region to be detected. As one example, a coordinate system may be established in basic units of pixels in the area to be detected. As shown in fig. 3, the unit of the abscissa of the rectangular detection area is a pixel, and the maximum value of the abscissa is w pixels. The unit of the ordinate of the rectangular detection area is also a pixel, and the maximum value of the ordinate is h pixels. In order to obtain the correspondence between the coordinates in the rectangular detection area and the actual distance, the side length of the actual detection area may be measured, that is, in this example, the rectangular detection area has a length of H meters and a width of W meters. Then, the corresponding relation between the coordinates of the rectangular detection area and the actual distance can be obtained according to the length of the rectangular detection area and the maximum vertical coordinate of the rectangular detection area. Of course, the correspondence between the coordinates of the rectangular detection area and the actual distance may also be obtained from the width of the rectangular detection area and the maximum abscissa of the rectangular detection area.
In this embodiment of the application, obtaining the coordinates of the first person and the coordinates of the second person in the corrected detection frame may include: determining the image of the first person and the image of the second person in the corrected detection frame through a human target detection model; and determining the central point of the image of the first person as the coordinates of the first person, and determining the central point of the image of the second person as the coordinates of the second person. It should be noted that the human target detection module in the embodiment of the present application may be an artificial intelligence module for detecting a human being, and through the intelligent model, the embodiment of the present application may obtain the first person and the second person of the detection frame. The number of people in the detection frame is not limited, and when two people exist in the detection frame, only the first person and the second person in the detection frame can be determined. When more than two persons exist in the detection frame, the embodiment of the present application may further determine a plurality of persons in the detection frame, and the embodiment of the present application is not limited herein.
After the coordinates of the first person and the coordinates of the second person in the corrected detection frame are obtained, the actual distance between the first person and the second person can be calculated according to the coordinates of the first person and the coordinates of the second person. As shown in FIG. 3, the first person has coordinates of (x1, y1) and the second person has coordinates of (x2, y 2). Then, the actual distance D between the first person and the second person can be calculated according to the following formula based on the obtained correspondence between the coordinates of the rectangular detection area and the actual coordinates, and the coordinates of the first person and the coordinates of the second person.
In practical applications, there may be a plurality of people in the corrected inspection frame, for example, there may be a third person in the corrected inspection frame in addition to the first person and the second person. At this time, the method provided by the embodiment of the application may sequentially calculate the distance between the first person and the second person, the distance between the second person and the third person, and the distance between the third person and the first person. If the calculated distance is too small, it is determined that the distance between the persons is too short, and it is determined that the personal information leakage risk exists.
After the actual distance between the first person and the second person is calculated, whether the personal information leakage risk exists can be judged according to the actual distance between the first person and the second person. Specifically, when the actual distance is smaller than the preset distance threshold, it may be determined that the distance between the first person and the second person is too close, and if the first person or the second person operates the ATM at this time, the personal information may be leaked, so that the method provided in the embodiment of the present application may send alarm information to the ATM or the bank worker. Specifically, after the automatic teller machine receives the alarm information, the display interface or the external sound box can remind a cardholder who uses the ATM of the risk of information leakage. The method provided by the embodiment of the application can also be used for sending alarm information to the bank staff, specifically, the alarm information can be sent to the bank monitoring center staff, and then the bank monitoring center staff judges whether the information leakage occurs or not.
In summary, according to the alarm method for the automatic teller machine provided by the embodiment of the application, whether the risk of information leakage of the automatic teller machine due to too close distance between people exists or not can be judged by detecting the people in the monitoring video and calculating the actual distance between the people through the perspective transformation technology. Therefore, according to the method provided by the embodiment of the application, the problem that information of a teller is leaked due to the fact that other people are too close to the teller can be avoided by identifying the monitoring video, the fact that the money and the money of the teller are damaged is avoided, and the safety of the automatic teller machine is improved.
According to the alarm method for automatic cross-editing provided by the embodiment, the embodiment of the application also provides an alarm device of the automatic teller machine.
Referring to fig. 4, the drawing is a schematic view of an alarm device of an automatic teller machine according to an embodiment of the present application.
An extraction module 100, configured to extract a detection frame from a surveillance video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area;
the correction module 200 is configured to correct the detection frame by using a perspective transformation technique, and transform a quadrilateral detection area in the detection frame into a rectangular detection area;
an actual distance obtaining module 300, configured to obtain an actual distance between the first person and the second person in the corrected detection frame;
and the alarm module 400 is configured to alarm when the actual distance is smaller than the preset distance threshold.
As a possible implementation manner, the extraction module in the embodiment of the present application is specifically configured to: and extracting detection frames from the monitoring video of the automatic teller machine at preset time intervals. As a possible implementation manner, the actual distance obtaining module in the embodiment of the present application is specifically configured to: obtaining the coordinates of a first person and the coordinates of a second person in the corrected detection frame; and calculating the actual distance between the first person and the second person according to the coordinates of the first person and the coordinates of the second person.
Therefore, the alarm device of the automatic teller machine provided by the embodiment of the application can judge whether the risk of information leakage of the automatic teller machine due to too close distance between people exists or not by detecting the people in the monitoring video and calculating the actual distance between the people through the perspective transformation technology. Therefore, the device provided by the embodiment of the application can avoid the problem that information of a teller is leaked due to the fact that other personnel are too close to the teller through identifying the monitoring video, thereby avoiding the damage of the teller in the financial and financial resources and improving the safety of the automatic teller machine.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the system part for description.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing description of the disclosed embodiments will enable those skilled in the art to make or use the invention in various modifications to these embodiments, which will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An alarm method for an automatic teller machine, comprising:
extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area;
correcting the detection frame by utilizing a perspective transformation technology, and transforming a quadrilateral detection area in the detection frame into a rectangular detection area;
obtaining the actual distance between the first person and the second person in the corrected detection frame;
and when the actual distance is smaller than a preset distance threshold value, alarming.
2. The method of claim 1, wherein extracting detection frames from surveillance video of an automated teller machine comprises:
and extracting detection frames from the monitoring video of the automatic teller machine at preset time intervals.
3. The method of claim 1, wherein obtaining the actual distance between the first person and the second person in the rectified detection frame comprises:
obtaining the coordinates of a first person and the coordinates of a second person in the corrected detection frame;
and calculating the actual distance between the first person and the second person according to the coordinates of the first person and the coordinates of the second person.
4. The method of claim 3, further comprising:
and calculating the corresponding relation between the coordinates in the detection frame and the actual distance according to the side length of the actual detection area.
5. The method of claim 4, wherein calculating the actual distance between the first person and the second person based on the coordinates of the first person and the coordinates of the second person comprises:
and calculating the actual distance between the first person and the second person according to the corresponding relation, the coordinate of the first person and the coordinate of the second person.
6. The method of claim 3, wherein obtaining coordinates of the first person and coordinates of the second person in the rectified inspection frame comprises:
determining the image of the first person and the image of the second person in the corrected detection frame through a human target detection model;
and determining the central point of the image of the first person as the coordinate of the first person, and determining the central point of the image of the second person as the coordinate of the second person.
7. The method according to any one of claims 1-6, wherein when the actual distance is less than a preset distance threshold, alarming comprises:
and when the actual distance is smaller than a preset distance threshold value, sending alarm information to the automatic teller machine or bank staff.
8. An alarm device for an automatic teller machine, comprising:
the system comprises an extraction module, a detection module and a processing module, wherein the extraction module is used for extracting a detection frame from a monitoring video of an automatic teller machine; the detection frame comprises a preset quadrilateral detection area; the quadrilateral detection area corresponds to a rectangular actual detection area;
the correction module is used for correcting the detection frame by utilizing a perspective transformation technology and transforming a quadrilateral detection area in the detection frame into a rectangular detection area;
the actual distance obtaining module is used for obtaining the actual distance between the first person and the second person in the corrected detection frame;
and the alarm module is used for giving an alarm when the actual distance is smaller than a preset distance threshold value.
9. The apparatus of claim 8, wherein the extraction module is specifically configured to:
and extracting detection frames from the monitoring video of the automatic teller machine at preset time intervals.
10. The apparatus of claim 8, wherein the actual distance obtaining module is specifically configured to:
obtaining the coordinates of a first person and the coordinates of a second person in the corrected detection frame;
and calculating the actual distance between the first person and the second person according to the coordinates of the first person and the coordinates of the second person.
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