POS machine card swiping environment visual monitoring system

Abstract

The invention relates to a POS machine card swiping environment visual monitoring system comprising a content imaging mechanism installed in a POS machine card swiping environment to execute environment imaging operation so as to obtain on-site imaging pictures; the visual identification mechanism receives the field imaging picture and an original image corresponding to the content imaging mechanism through a wireless communication link, and performs image processing of a face beautifying special effect on the original image to obtain and output a target image; and based on the analysis result of the color component values of the same pixel point positions of the field imaging picture and the target image, judging that the field imaging picture is subjected to image processing of the facial beautification special effect. According to the invention, a visual identification mechanism with a customized structure can be adopted to judge whether the on-site imaging picture is subjected to image processing of a face beautifying special effect based on a targeted visual identification algorithm, so that a judgment basis is provided for an image source of the on-site imaging picture in a POS machine card swiping environment; and the video monitoring end can conveniently and effectively judge the authenticity of the on-site face.

Description

Technical Field

[0001] The invention relates to the field of card swiping monitoring, and in particular to a POS machine card swiping environment visual monitoring system. Background Art

[0002] The card swiping machine is referred to as a POS terminal. The terminal first sends information to the UnionPay platform through a telephone line dialing method. After the UnionPay platform identifies the relevant information, it will send the deduction information to the issuing bank. After confirmation by the issuing bank, it will send the information back to the UnionPay platform. After confirmation by UnionPay, it will send the processed information to the front-end terminal. The terminal receives the confirmed information and then prints the document. The principle of mobile POS terminals is the same. Its information is sent and received through data signals. The communication fee is not much and is calculated according to the traffic. The communication fee of fixed terminals is charged by telecommunications companies according to the local call standard.

[0003] Since the POS card swiping environment involves financial security, for example, whether there is card fraud or whether there are defects and deficiencies in the card swiping amount and the card swiping method, all of these can be restored on the spot through the visual images of the POS card swiping environment. However, when someone else commits card fraud, if the card swiper has undergone facial beauty effects, the obtained visual images are insufficient for reference, and it is impossible to accurately locate and capture the card swiper who commits card fraud. The problem is that the manager who obtains the visual images of the POS card swiping environment is actually unable to determine whether the obtained visual images have been processed with facial beauty effects. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a visual monitoring system for a POS card swiping environment, which adopts a customized visual identification mechanism including a wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit, and is used to be set on a remote monitoring server to provide hardware resources for identification processing of whether the on-site imaging picture has been processed with a facial beauty special effect, performs facial beauty special effect image processing on the original image directly output by the image sensor of the content imaging mechanism to obtain a corresponding target image, and performs a difference in the color component values ​​of the same pixel point position on the on-site imaging picture and the target image. The values ​​are processed to obtain the blue component difference values, red component difference values ​​and green component difference values ​​corresponding to the same pixel position respectively, and when there is at least one mean value greater than or equal to the set mean limit among the mean values ​​of the blue component difference values, the mean values ​​of the red component difference values ​​and the mean values ​​of the green component difference values, it is judged that the on-site imaging picture has not been processed by the image processing of the face beauty special effects; otherwise, it is judged that the on-site imaging picture has been processed by the image processing of the face beauty special effects, thereby providing a basis for judging the image source of the on-site imaging picture in the POS card swiping environment, and facilitating the video surveillance end to effectively judge the authenticity of the on-site face.

[0005] According to the present invention, a POS machine card swiping environment visual monitoring system is provided, the system comprising: Content imaging mechanism, installed in the POS card swiping environment to perform environmental imaging operations, used to obtain and output corresponding on-site imaging pictures; A visual identification mechanism is provided at a remote monitoring server and has a wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit connected in sequence therein, and is used to receive a live imaging picture and an original image corresponding to the content imaging mechanism through a wireless communication link, perform image processing of facial beauty effects on the original image to obtain and output a corresponding target image, perform difference processing of the color component values ​​of the same pixel position on the live imaging picture and the target image to obtain the blue component difference values, the red component difference values ​​and the green component difference values ​​corresponding to the same pixel position, respectively, and when there is at least one mean value greater than or equal to a set mean value limit among the mean values ​​of the blue component difference values, the red component difference values ​​and the green component difference values, it is judged that the live imaging picture has not been subjected to the image processing of facial beauty effects, otherwise, it is judged that the live imaging picture has been subjected to the image processing of facial beauty effects; The data transmission device is connected to the visual identification mechanism and is used to provide the first monitoring detection signal to the remote cloud computing server through the time-division transmission channel after judging whether the on-site imaging picture has been image processed with facial beauty special effects; The wireless communication interface is used to receive the on-site imaging picture and the original image corresponding to the content imaging mechanism through a wireless communication link, the original image corresponding to the content imaging mechanism is an image directly output by the image sensor of the content imaging mechanism, and the color components include a blue component, a red component and a green component; Among them, the visual identification mechanism is set at a remote monitoring server and has a built-in wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit connected in sequence, which is used to receive the on-site imaging picture and the original image corresponding to the content imaging mechanism through a wireless communication link, perform image processing of facial beauty effects on the original image to obtain and output the corresponding target image, and perform difference processing of the color component values ​​of the same pixel position on the on-site imaging picture and the target image to obtain the blue component difference, the red component difference and the green component difference corresponding to each same pixel position respectively. When there is one or more mean values ​​greater than or equal to the set mean limit among the mean values ​​of the blue component differences, the red component differences and the green component differences, it is judged that the on-site imaging picture has not been processed by the facial beauty effect image processing; otherwise, it is judged that the on-site imaging picture has been processed by the facial beauty effect image processing, including: using different programmable logic devices to respectively implement the target parsing unit, the difference calculation unit and the state judgment unit.

[0006] The present invention has at least the following three important invention points: First, a visual identification mechanism with a customized structure including a wireless communication interface, a target analysis unit, a difference calculation unit and a state judgment unit is used to be set up on a remote monitoring server to provide hardware resources for the identification process of whether the on-site imaging picture has been processed with facial beauty special effects; Second, perform image processing of facial beauty effects on the original image directly output by the image sensor of the content imaging mechanism to obtain the corresponding target image, and perform difference processing of the color component values ​​of the same pixel position on the live imaging picture and the target image to obtain the blue component difference, the red component difference and the green component difference corresponding to each same pixel position; Third: when there is at least one mean greater than or equal to the set mean limit among the mean of the difference between the blue components, the mean of the difference between the red components, and the mean of the difference between the green components, it is judged that the on-site imaging picture has not been processed by the facial beauty special effects; otherwise, it is judged that the on-site imaging picture has been processed by the facial beauty special effects, thereby providing a basis for judging the image source of the on-site imaging picture in the POS card swiping environment, and facilitating the video surveillance end to effectively judge the authenticity of the on-site face. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 Schematic diagram of the internal structure of a visual monitoring system for a POS card swiping environment according to Embodiment A of the present invention.

[0008] Figure 2 Schematic diagram of the internal structure of a visual monitoring system for a POS card swiping environment according to Embodiment B of the present invention.

[0009] Figure 3 Schematic diagram of the internal structure of a visual monitoring system for a POS card swiping environment according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0010] The implementation scheme of the POS card swiping environment visual monitoring system of the present invention will be described in detail below with reference to the accompanying drawings.

[0011] Figure 1 The internal structure diagram of the visual monitoring system for POS card swiping environment according to Embodiment A of the present invention is shown, and the system comprises: Content imaging mechanism, installed in the POS card swiping environment to perform environmental imaging operations, used to obtain and output corresponding on-site imaging pictures; For example, the content imaging mechanism is installed in the POS card swiping environment to perform environmental imaging operations, and is used to obtain and output corresponding on-site imaging pictures, including: the content imaging mechanism is built with a photoelectric sensing component, which is used to perform photoelectric sensing actions on the POS card swiping environment; A visual identification mechanism is provided at a remote monitoring server and has a wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit connected in sequence therein, and is used to receive a live imaging picture and an original image corresponding to the content imaging mechanism through a wireless communication link, perform image processing of facial beauty effects on the original image to obtain and output a corresponding target image, perform difference processing of the color component values ​​of the same pixel position on the live imaging picture and the target image to obtain the blue component difference values, the red component difference values ​​and the green component difference values ​​corresponding to the same pixel position, respectively, and when there is at least one mean value greater than or equal to a set mean value limit among the mean values ​​of the blue component difference values, the red component difference values ​​and the green component difference values, it is judged that the live imaging picture has not been subjected to the image processing of facial beauty effects, otherwise, it is judged that the live imaging picture has been subjected to the image processing of facial beauty effects; The data transmission device is connected to the visual identification mechanism and is used to provide the first monitoring detection signal to the remote cloud computing server through the time-division transmission channel after judging whether the on-site imaging picture has been image processed with facial beauty special effects; The wireless communication interface is used to receive the on-site imaging picture and the original image corresponding to the content imaging mechanism through a wireless communication link, the original image corresponding to the content imaging mechanism is an image directly output by the image sensor of the content imaging mechanism, and the color components include a blue component, a red component and a green component; Wherein, the visual identification mechanism is arranged at a remote monitoring server and has a built-in wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit connected in sequence, and is used to receive the on-site imaging picture and the original image corresponding to the content imaging mechanism through a wireless communication link, perform image processing of facial beauty effects on the original image to obtain and output the corresponding target image, perform difference processing of the color component values ​​of the same pixel position on the on-site imaging picture and the target image to obtain the blue component difference values, the red component difference values ​​and the green component difference values ​​corresponding to the same pixel position, respectively, and when there is one or more mean values ​​greater than or equal to the set mean value limit among the mean values ​​of the blue component difference values, the red component difference values ​​and the green component difference values, it is judged that the on-site imaging picture has not been subjected to the image processing of facial beauty effects, otherwise, it is judged that the on-site imaging picture has been subjected to the image processing of facial beauty effects, including: using different programmable logic devices to respectively implement the target parsing unit, the difference calculation unit and the state judgment unit; The data transmission device is further used to provide the second monitoring detection signal to a remote cloud computing server through a time-division transmission channel when it is determined that the on-site imaging picture has not been processed with the facial beauty special effect; And wherein, the data transmission device is connected to the visual identification mechanism, and is used to determine whether the on-site imaging picture has undergone image processing with facial beauty effects, and provide the first monitoring detection signal to a remote cloud computing server through a time-division transmission channel, including: the cloud computing server is composed of multiple cloud computing service network elements arranged in a distributed manner.

[0012] Figure 2 Schematic diagram of the internal structure of a visual monitoring system for a POS card swiping environment according to Embodiment B of the present invention.

[0013] Compared with implementation A, the POS card swiping environment visual monitoring system shown in implementation B may also include the following components: a length sensor, connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, respectively, for measuring the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively; Wherein, the length sensor device is respectively connected with the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to respectively measure the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, including: the length sensor device includes a plurality of length measurement units, which are respectively connected with the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, so as to complete the measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit; Wherein, the length sensor device comprises a plurality of length measuring units, which are respectively connected with the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit to complete the respective measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, including: the plurality of length measuring units are a plurality of length sensors, which are respectively connected with the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit to complete the respective measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit; Wherein, the multiple length measurement units are multiple length sensors, which are used to be connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively, so as to complete the measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively, including: the multiple length sensors have the same structure; And wherein the multiple length measurement units are multiple length sensors, which are used to be connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively, so as to complete the respective measurements of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and also include: the multiple length sensors have the same length measurement upper limit value and length measurement lower limit value.

[0014] Figure 3 Schematic diagram of the internal structure of a visual monitoring system for a POS card swiping environment according to Embodiment C of the present invention.

[0015] Compared with implementation scheme A, the POS card swiping environment visual monitoring system shown in implementation scheme C may also include the following components: A length display mechanism, connected to the multiple length measuring units of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, respectively, for synchronously displaying the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively; Wherein, the length display mechanism is respectively connected to the multiple length measuring units of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to synchronously display the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively, including: the length display mechanism is a touch display screen; And wherein, the length display mechanism is respectively connected to the multiple length measuring units of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to synchronously display the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, including: the length display mechanism is a non-touch display screen.

[0016] In addition, in the POS card swiping environment visual monitoring system, an intelligent reshaping component is used to parse the deconvolution neural network model. In the deconvolution neural network model, the deconvolution neural network is learned multiple times to obtain a deconvolution neural network after completing multiple learnings and as the deconvolution neural network model, it also includes: using a content conversion function to represent the content conversion relationship in which the number of times the deconvolution neural network is learned is inversely correlated with the signal-to-noise ratio of the on-site imaging picture.

[0017] The visual monitoring system for the POS card swiping environment of the present invention solves the technical problem in the prior art that the on-site imaging picture of the POS card swiping environment is prone to misjudgment of the card swiping personnel because it is impossible to determine whether there is a facial beauty effect. A customized visual identification mechanism is used to judge whether the on-site imaging picture has undergone image processing with facial beauty effects based on a targeted visual recognition algorithm, thereby providing a judgment basis for the image source of the on-site imaging picture of the POS card swiping environment, facilitating the video monitoring terminal to effectively judge the authenticity of the on-site face, thereby solving the above technical problem.

[0018] Although the present invention has been comprehensively described by way of example, it should be understood that various changes and modifications are apparent to those skilled in the art. Therefore, unless otherwise indicated, changes and modifications depart from the scope of the present invention, such changes and modifications should all be considered to be included in the scope of the present invention.

Claims

1. A visual monitoring system for POS card swiping environment, characterized in that: The system comprises: Content imaging mechanism, installed in the POS card swiping environment to perform environmental imaging operations, used to obtain and output corresponding on-site imaging pictures; A visual identification mechanism is provided at a remote monitoring server and has a wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit connected in sequence therein, and is used to receive a live imaging picture and an original image corresponding to the content imaging mechanism through a wireless communication link, perform image processing of facial beauty effects on the original image to obtain and output a corresponding target image, perform difference processing of the color component values ​​of the same pixel position on the live imaging picture and the target image to obtain the blue component difference values, the red component difference values ​​and the green component difference values ​​corresponding to the same pixel position, respectively, and when there is at least one mean value greater than or equal to a set mean value limit among the mean values ​​of the blue component difference values, the red component difference values ​​and the green component difference values, it is judged that the live imaging picture has not been subjected to the image processing of facial beauty effects, otherwise, it is judged that the live imaging picture has been subjected to the image processing of facial beauty effects; The data transmission device is connected to the visual identification mechanism and is used to provide the first monitoring detection signal to the remote cloud computing server through the time-division transmission channel after judging whether the on-site imaging picture has been image processed with facial beauty special effects; The wireless communication interface is used to receive the on-site imaging picture and the original image corresponding to the content imaging mechanism through a wireless communication link, the original image corresponding to the content imaging mechanism is an image directly output by the image sensor of the content imaging mechanism, and the color components include a blue component, a red component and a green component; Among them, the visual identification mechanism is set at a remote monitoring server and has a built-in wireless communication interface, a target parsing unit, a difference calculation unit and a state judgment unit connected in sequence, which is used to receive the on-site imaging picture and the original image corresponding to the content imaging mechanism through a wireless communication link, perform image processing of facial beauty effects on the original image to obtain and output the corresponding target image, and perform difference processing of the color component values ​​of the same pixel position on the on-site imaging picture and the target image to obtain the blue component difference, the red component difference and the green component difference corresponding to each same pixel position respectively. When there is one or more mean values ​​greater than or equal to the set mean limit among the mean values ​​of the blue component differences, the red component differences and the green component differences, it is judged that the on-site imaging picture has not been processed by the facial beauty effect image processing; otherwise, it is judged that the on-site imaging picture has been processed by the facial beauty effect image processing, including: using different programmable logic devices to respectively implement the target parsing unit, the difference calculation unit and the state judgment unit.

2. The POS card swiping environment visual monitoring system as claimed in claim 1, characterized in that: The data transmission device is also used to provide the second monitoring detection signal to the remote cloud computing server through the time-division transmission channel when it is determined that the on-site imaging picture has not been processed with the facial beauty special effect; Among them, the data transmission device is connected to the visual identification mechanism, and is used to determine whether the on-site imaging picture has undergone image processing with facial beauty effects, and provide the first monitoring detection signal to the remote cloud computing server through a time-division transmission channel, including: the cloud computing server is composed of multiple cloud computing service network elements arranged in a distributed manner.

3. The POS card swiping environment visual monitoring system as claimed in claim 2, characterized in that: The system further comprises: a length sensor, connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, respectively, for measuring the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, respectively; Among them, the length sensor device is respectively connected with the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to respectively measure the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit. The length sensor device includes multiple length measurement units, which are respectively connected with the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit to complete the measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit.

4. The POS card swiping environment visual monitoring system as claimed in claim 3, characterized in that: The length sensor device includes a plurality of length measuring units, which are used to be respectively connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit to complete the respective measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit. The plurality of length measuring units are a plurality of length sensors, which are used to be respectively connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit to complete the respective measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit.

5. The POS card swiping environment visual monitoring system as claimed in claim 4, characterized in that: The multiple length measurement units are multiple length sensors, which are used to be connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively, so as to complete the respective measurements of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, including: the structures of the multiple length sensors are the same.

6. The POS card swiping environment visual monitoring system as claimed in claim 5, characterized in that: The multiple length measurement units are multiple length sensors, which are used to be connected to the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively to complete the measurement of the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit respectively, and also include: the multiple length sensors have the same length measurement upper limit value and length measurement lower limit value.

7. The POS card swiping environment visual monitoring system as claimed in claim 2, characterized in that: The system further comprises: The length display mechanism is respectively connected to the multiple length measuring units of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to synchronously display the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit.

8. The POS card swiping environment visual monitoring system as claimed in claim 7, characterized in that: The length display mechanism is respectively connected to the multiple length measuring units of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to synchronously display the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit. The length display mechanism is a touch display screen.

9. The POS card swiping environment visual monitoring system as claimed in claim 7, characterized in that: The length display mechanism is respectively connected to the multiple length measuring units of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit, and is used to synchronously display the current real-time length values ​​of the intelligent reshaping component, the target parsing unit, the difference calculation unit and the state judgment unit. The length display mechanism is a non-touch display screen.

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