Anti-fraud method and system for mobile payment of electricity purchase based on bio-probe technology

Abstract

The present invention relates to the field of fraud detection technology, and in particular to an anti-fraud method for mobile payment of electricity purchase based on bio-probe technology; comprising the following steps: acquiring a first position coordinate of a mobile terminal when collecting a first facial image of a target object; judging whether the first facial image matches the first facial information of the registered target object stored in the mobile terminal; if they match, moving the mobile terminal from the first position coordinate to a second position coordinate, and collecting a second facial image of the target object after the mobile terminal moves to the second position coordinate; if they match, the terminal confirms that the user authentication is passed, and in the process of identity authentication, the facial image of the target object is matched with the spatial position coordinate, and the changing trajectory of the spatial position coordinate of the mobile terminal is recorded by a bio-probe sensor in the mobile terminal, so as to effectively prevent and control fraud during authentication.

Description

Technical Field

[0001] The present invention relates to the field of information security and risk control technology, and in particular to a mobile terminal payment anti-fraud method and system for electricity purchase based on biological probe technology. Background Art

[0002] At present, users in the power industry can use mobile terminals to realize power supply services, e-commerce services, integrated energy, public services, operation services, etc. As power business gradually shifts to mobile terminals, while facilitating users' lives and payment, it also brings more business risks. For example, false registration, bulk sales of accounts and other behaviors can provide conditions for malicious fraud. By using "brushing platforms" and other operations to brush orders, illegal funds are recharged into the power system's electricity bill account in the form of charging fees, which increases the risk of "money laundering" events. False promotions, brute force cracking, traffic attacks and other incidents have also occurred frequently, posing a security risk to mobile payment for electricity purchases.

[0003] Fraudsters use mobile devices as cover to launch attacks. The main solutions currently use biometric pointer technologies such as face recognition, fingerprint recognition, and voiceprint recognition, or perform outlier detection on some frequently operated actions. However, since faces, fingerprints, and voiceprints are prone to being copied or cloned, such as using pictures, dynamic images, or recorded videos for fraudulent authentication, there are still some problems that need to be overcome. At the same time, anti-fraud methods based on biometric probe technology have gradually begun to appear in recent years, and have achieved certain phased results. Biometric probe technology can accurately obtain the behavioral characteristics, software and hardware characteristics of the user's mobile terminal by collecting data from the mobile terminal's acceleration sensor, magnetic sensor, orientation sensor, gyroscope sensor, gravity sensor, etc.

[0004] For example, the direction sensor returns the angle data of three axes, and the unit of the direction data is angle. The gravity sensor outputs gravity data. The acceleration sensor obtains the acceleration values ​​of the x, y, and z axes, and can obtain the acceleration magnitudes on the three coordinate axes of the mobile terminal coordinate system. The gyroscope sensor obtains the angular acceleration data of the x, y, and z axes, and can detect the body direction and rotation angle of the mobile terminal.

[0005] Therefore, applying biological probe technology to anti-fraud in electricity purchase payment at the power mobile terminal has good market prospects. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for anti-fraud of electricity purchase by mobile terminal based on bio-probe technology, so as to solve the anti-fraud problem of electricity purchase by mobile terminal in the prior art.

[0007] The technical solution of the present invention is: a method for anti-fraud of mobile terminal payment for electricity purchase based on bio-probe technology, comprising the following steps:

[0008] Acquiring first position coordinates of the mobile terminal when capturing a first facial image of the target object;

[0009] Determining whether the first facial image matches the first facial information of the registered target object stored in the mobile terminal;

[0010] If they match, moving the mobile terminal from the first position coordinates to the second position coordinates, and capturing a second facial image of the target object after the mobile terminal moves to the second position coordinates;

[0011] Determining whether the second facial image matches the second facial image information of the registered target object stored in the mobile terminal, the second facial image information of the registered target object stored in the mobile terminal being the second facial image when the first position coordinates and the second position coordinates stored in the mobile terminal have the same relative position change;

[0012] If they match, the terminal confirms that the user authentication is successful.

[0013] Preferably, while acquiring the second facial image of the target object, the server also acquires the interval time between acquiring the second facial image of the target object and acquiring the first facial image of the target object;

[0014] Determining whether the second facial image matches the second facial image information of the registered target object stored in the server further includes: determining whether the second facial image collected within the interval time matches the second facial image stored in the server within the interval time and when the relative position changes of the first position coordinates and the second position coordinates are the same.

[0015] Preferably, the first position coordinates and the second position coordinates are obtained through one or more data of a gyroscope sensor, a gravity sensor, and an angular velocity sensor built into the mobile terminal.

[0016] Preferably, the method for acquiring the second position coordinates includes:

[0017] Taking the first position coordinate as the coordinate origin;

[0018] Changing the position of the mobile terminal in one or more combinations of the directions of “up, down, left, right, front, and back”;

[0019] The gyroscope sensor and the acceleration sensor cooperate to obtain the position change information of the mobile terminal;

[0020] Generate second position coordinates.

[0021] The present invention also provides a mobile terminal payment and electricity purchase anti-fraud system based on bio-probe technology, comprising:

[0022] A camera module, used for capturing a first facial image and a second facial image of a target object;

[0023] A mobile terminal sensor module, used to obtain a first position coordinate when the camera module captures a first facial image of the target object, and a second position coordinate when the camera module captures a second facial image, wherein the mobile terminal sensor module includes one or more of a gyroscope sensor, an acceleration sensor, a gravity sensor, and an angular velocity sensor;

[0024] A memory module is used to store the first facial image, the second facial image, the first position coordinates, and the second position coordinates of the target object.

[0025] a processor module, communicating with the memory module, and configured to determine whether the second facial image matches the second facial image information of the registered target object stored in the memory module, wherein the second facial image information of the registered target object stored in the memory module is the second facial image when the first position coordinates and the second position coordinates stored in the memory module have the same relative position change;

[0026] Preferably, the processor module is further used to obtain an interval time between capturing a second facial image of the target object and capturing a first facial image of the target object;

[0027] Compared with the prior art, the advantages of the present invention are:

[0028] During the identity authentication process, the facial image of the target object is matched with the spatial position coordinates. When the spatial position coordinates change, the corresponding facial image of the target object will also change. The changed facial image of the target object will be compared with the saved facial image of the target object when the position coordinates change in the system, thereby effectively preventing and controlling fraudulent behaviors that use dynamic images or pre-recorded videos during face recognition authentication.

[0029] By matching the facial image of the target object with the spatial position coordinates of the mobile terminal and the time series of the mobile terminal's movement in the spatial position coordinates, when the mobile terminal moves from one spatial position coordinate to another position coordinate in a certain time series, the facial image of the target object corresponding to the time series corresponds to the facial image of the target object stored in the system. If they can correspond during the authentication process, the authentication is passed. This greatly improves the success rate of preventing and controlling fraudulent behaviors by presenting dynamic images and videos on a display.

[0030] The gyroscope sensor, acceleration sensor, gravity sensor, and angular velocity sensor in the mobile terminal are used to record the changing trajectory of the spatial position coordinates of the mobile terminal. The data collection has excellent characteristics such as real-time and accuracy. Combined with face recognition technology, it improves the accuracy of fraud prevention and control during the authentication process and reduces the safety risks of mobile payment for electricity purchases. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0032] Figure 1 This is a flow chart of a method for anti-fraud of mobile terminal payment for electricity purchase based on bio-probe technology in Example 1 of the present invention.

[0033] Figure 2 This is a flow chart of an anti-fraud method for mobile terminal payment for electricity purchase based on bio-probe technology in Example 2 of the present invention;

[0034] Figure 3 This is a structural schematic diagram of a mobile terminal payment and electricity purchase anti-fraud system based on bio-probe technology of the present invention. DETAILED DESCRIPTION

[0035] The present invention is further described in detail below in conjunction with specific embodiments:

[0036] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0037] The present invention provides an anti-fraud method for mobile terminal payment for electricity purchase based on biometric probe technology, which can be executed in a mobile terminal, can prevent fraudulent authentication, and improve the authenticity of the authenticated identity.

[0038] Take the device running on a mobile terminal as an example.

[0039] The mobile terminal is equipped with a system capable of recognizing human faces, and the mobile terminal includes: a processor module, a memory module, a communication module, and a sensor module for collecting the position, direction, and speed of the mobile terminal.

[0040] A memory module is used to store software programs and modules of application software, such as program instructions / modules corresponding to the authentication method in the embodiment of the present invention,

[0041] The processor module executes various functional applications and data processing by running the software programs and modules stored in the memory, and implements the above-mentioned authentication method based on the biological probe sensor.

[0042] The communication module is used to receive or send data via a network, which may include a wireless network provided by a communication provider of the mobile terminal. Example 1

[0043] This embodiment provides an anti-fraud method for mobile terminal payment for electricity purchase based on biometric probe technology, comprising the following steps:

[0044] 101: The target object initiates an authentication request through a mobile terminal, and the mobile terminal collects a first facial image of the target object and simultaneously obtains a first position coordinate of the mobile terminal.

[0045] The mobile terminal described in this embodiment can be a mobile terminal device / handheld device such as a mobile phone, tablet computer, wearable device, etc. equipped with a camera, gyroscope sensor and face recognition system. When the target object initiates an authentication request, the target object can be authenticated through the face recognition system.

[0046] In this embodiment, capturing the first facial image of the target object may be accomplished by photographing the target object through a camera of a mobile terminal. At the same time, the first position coordinates of the mobile terminal may be acquired through one or more of a gyroscope sensor, an acceleration sensor, a direction sensor, a gravity sensor, and an angular velocity sensor configured in the mobile terminal. For example, by acquiring the angular acceleration of the three axes x, y, and z of the gyroscope sensor, acquiring the acceleration values ​​of the three axes x, y, and z of the acceleration sensor, acquiring the angle data of the three axes of the direction sensor, and the gravity data of the gravity sensor, the first spatial position coordinates of the mobile terminal when the first facial image is captured may be determined.

[0047] 102. Determine whether the first facial image matches facial information of a registered target object stored in the mobile terminal;

[0048] Specifically, after the mobile terminal obtains the first facial image of the target object through the camera, the processor compares the first facial image with the facial image of the target object registered in the mobile terminal. The facial image of the target object registered by the mobile terminal is the facial image stored in the storage system of the mobile terminal when the target object is registered. For example, when the target object applies for registration, the mobile terminal prompts the target object to turn on the camera, take a facial photo of the target object and store it in the memory. After the user applies for access, the first facial image of the target object taken is compared with the facial image stored in the system. If it meets the matching rules, the verification is passed. This method is a relatively mature technology through static judgment. However, it is currently impossible to distinguish whether the photo in front of the camera is a photo taken or a photo on the display screen, etc., only through static judgment. Therefore, this embodiment further introduces the information of the biological probe sensor in 103 to distinguish whether the collected target object is a real person or a photo or a moving picture or video display, which may involve fraud.

[0049] 103. If there is a match, move the mobile terminal from the first position coordinate to a second position coordinate, and capture a second facial image of the target object after the mobile terminal moves to the second position coordinate;

[0050] Specifically, moving the mobile terminal from the first position coordinate to the second position coordinate may be moving the mobile terminal in any direction of “up, down, left, right, front, and back”. After the position coordinate of the mobile terminal changes, a second facial image of the target object is captured by a camera module. While capturing the second facial image of the target object, the second position coordinate of the mobile terminal is recorded by a sensor of the mobile terminal. In this embodiment, the second position coordinate may be obtained by one or more of a gyroscope sensor, an acceleration sensor, a gravity sensor, and a direction sensor. In this embodiment, the second position coordinate is a second position coordinate with the first position coordinate as the coordinate origin. For example, with the first position coordinate as the coordinate origin, the second position coordinate of the mobile terminal may be determined by obtaining the change of the angular acceleration of the three axes x, y, and z of the gyroscope sensor relative to the first position coordinate, and obtaining the relative change data of the acceleration values ​​of the three axes x, y, and z of the acceleration sensor relative to the first position coordinate.

[0051] 104. Determine whether the second facial image matches the second facial image information of the registered target object stored in the mobile terminal, where the second facial image information of the registered target object stored in the mobile terminal is the second facial image stored in the server when the first position coordinates and the second position coordinates have the same relative position change;

[0052] Specifically, the memory of the mobile terminal stores the second facial image of the user when registering. In this embodiment, there are multiple second facial images when the user registers. When the user applies for registration, in addition to the aforementioned acquisition of the first facial image, the program further executes the capture of the second facial photo of the target object. In an achievable implementation, the user is prompted to move the mobile terminal from a vertical state toward the user to six directions of "up, down, left, right, front, and back" respectively after the first facial image is captured. For example, the mobile terminal is first in a vertical state, at which time the camera module captures the first facial image of the target object, and the processor saves the first position coordinates of the mobile terminal when the first facial image is captured, and then prompts the user to move the mobile terminal to the left. During the movement, multiple second position coordinates of the mobile terminal relative to the first position coordinates are acquired, and multiple second facial images are captured at the same time. The second spatial coordinates of the mobile terminal can be determined by combining the data changes of the built-in gyroscope sensor, acceleration sensor, and direction sensor of the mobile terminal with the movement time. After the position coordinates are completed, the target object is prompted to point the mobile terminal vertically toward the target object, and then move to the right. After the movement, multiple second spatial position coordinates of the mobile terminal are recorded and multiple second facial photos are taken at the same time. The other upward, downward, forward and backward moving shooting methods are the same as left and right. In this way, after determining the relative change of the second position coordinates and the first position coordinates, the corresponding second facial image after the position coordinate change also remains corresponding. Therefore, when the second facial image is compared with the second facial image saved in the system, the comparison is whether the corresponding second facial image is the same after the relative change of the mobile terminal position occurs. In this way, when the user uses a facial photo or screen for authentication, the corresponding second facial image should also change after the relative change of the position of the mobile terminal occurs. When the target object is a photo or a display screen, it cannot be verified because it cannot change its facial state. The method of this embodiment further avoids the probability of fraudulent authentication.

[0053] 105. If a match is found, the terminal confirms that the user authentication is successful. Example 2

[0054] 201: acquiring first position coordinates of a mobile terminal when capturing a first facial image of a target object through a mobile terminal;

[0055] In this embodiment, the method of collecting the first facial image of the target object and obtaining the first position coordinates of the mobile terminal is the same as that of the first embodiment.

[0056] 202. Determine whether the first facial image matches facial information of a registered target object stored in the mobile terminal;

[0057] 203. If there is a match, move the mobile terminal from the first position coordinate to the second position coordinate, and capture a second facial image of the target object after the mobile terminal moves to the second position coordinate, and the mobile terminal also obtains an interval time between capturing the second facial image and the first facial image of the target object;

[0058] Specifically, the second facial image of the target object is captured by the camera module. When capturing the second facial image, the processor simultaneously obtains the interval time from capturing the first target object, wherein the position change of the mobile terminal includes changes in any direction of "up, down, left, right, front, and back".

[0059] For example: when the mobile terminal is in a vertical state facing the target object, at this time, the camera module captures the first facial image of the target object, and the server obtains the first position coordinates of the mobile terminal. The method of obtaining the first position coordinates of the mobile terminal is the same as that in Example 1. At this time, the target object moves the mobile terminal to the left and then captures the second facial image of the target object. At the same time, the server obtains the second position coordinates of the mobile terminal. At this time, the face of the target object remains in a non-rotating state. At the same time, the processor obtains the interval time from capturing the first facial image to capturing the second facial image.

[0060] 204 determines whether the second facial image matches the second facial image information of the registered target object stored in the mobile terminal, where the second facial image information of the registered target object stored in the mobile terminal is the second facial image stored in the mobile terminal when the relative position changes of the first position coordinates and the second position coordinates are the same; further, determines whether the second facial image collected within the interval time matches the second facial image stored in the mobile terminal within the interval time and when the relative position changes of the first position coordinates and the second position coordinates are the same.

[0061] Specifically, the target object stores multiple second facial images when registering. After taking the first facial image, the target object keeps its head non-rotating, and the mobile terminal moves to "up, down, left, right, front, and back" respectively. The mobile terminal takes multiple second facial images of the target object during the movement. At the same time, the first position coordinate is used as the coordinate origin. The mobile terminal records the second position coordinates of each second facial image relative to the first position coordinate, and the interval time between taking each second facial image and taking the first facial image. Therefore, the second facial image corresponding to the second position coordinate relative to the first position coordinate in the time series change can be obtained, and the above corresponding second facial image is stored in the memory of the mobile terminal.

[0062] For example, when the mobile terminal obtains a first facial photo of the target object in a manner of vertically facing the target object at a first position coordinate, and then the mobile terminal issues an instruction to move the mobile terminal to the left, during the process of the mobile terminal continuing to move to the left, the position coordinate of the mobile terminal continues to move relative to the first position coordinate. By obtaining the change data of the angular acceleration of the three axes x, y, and z of the gyroscope sensor relative to the first position coordinate, and obtaining the relative change data of the acceleration values ​​of the three axes x, y, and z of the acceleration sensor relative to the first position coordinate, the second position coordinate relative to the first position coordinate can be obtained. During the process of the mobile terminal continuing to move to the left, the camera module captures multiple second facial images of the target object, and records the position coordinates of the mobile terminal when capturing the second facial images and the interval time relative to the first position coordinate. In this way, multiple second facial images of the target object are stored in the mobile terminal system, and the above-mentioned second facial photos not only include the second facial photos corresponding to the relative position change of the second position coordinate with the first position coordinate as the coordinate origin, but also correspond to the above-mentioned interval time corresponding to the relative position change.

[0063] After the camera module captures the first facial image of the target object and the match is passed, the mobile terminal moves in any direction of "up, down, left, right, front, and back" and captures the second facial image of the target object. The mobile terminal server compares the captured second facial image with the second facial image stored in the system. If they match, the authentication is passed.

[0064] Using the solution of this embodiment, if the camera captures a dynamic image or video display, when the mobile terminal captures a second facial photo of the second target object, the dynamic image or video display may have the following situation:

[0065] (1) The dynamic image or video cannot accurately display the facial image that matches the movement direction;

[0066] (2) For the facial images of the target object recorded in advance in various directions or angles, during the time interval when the mobile terminal moves relative to the first position, the dynamic image or recorded video cannot guarantee synchronous movement within the time interval;

[0067] (3) The mobile terminal system can also randomly generate movement direction instructions. If it is a dynamic image or video, it is impossible to give a specified dynamic image within a short time interval. The random direction can also include any one or more combinations of "up, down, left, right, front, and back", such as moving to the left and then moving up. There will be many similar combinations, which increases the difficulty of fraud authentication.

[0068] Therefore, the anti-fraud method for mobile payment of electricity purchase based on bio-probe technology provided in this application can more effectively intercept fraudulent behavior, reducing the probability of fraud incidents occurring while the mobile terminals of the power system provide convenience for users' lives and payment. Example 3

[0069] This embodiment provides a mobile terminal payment and electricity purchase anti-fraud system based on biometric probe technology, which can be executed in a mobile terminal / handheld device. For example, the system can be executed on a mobile terminal device.

[0070] The mobile terminal is equipped with a system capable of recognizing human faces, and the mobile terminal comprises:

[0071] One or more processing processors 1,

[0072] A memory 2 for storing data, a communication module for communication functions, and a mobile terminal sensor module 5 for collecting the position, direction, and speed of the mobile terminal,

[0073] Memory 2, used to store software programs and modules of application software, such as program instructions / modules corresponding to the anti-fraud method for mobile terminal payment for electricity purchase based on biological probe technology in an embodiment of the present invention;

[0074] The processor 1 executes various functional applications and data processing by running the software programs and modules stored in the memory 2, thereby realizing the above-mentioned anti-fraud method for mobile terminal payment for electricity purchase based on biological probe technology;

[0075] The communication module is used to receive or send data via a network, and the network may include a wireless network provided by a communication provider of the mobile terminal;

[0076] It should be noted that, in some optional embodiments, the mobile terminal may include a hardware unit (including a circuit), a software element (including a software code stored on a readable medium), or a combination of a hardware element and a software element. Figure 1 This is merely one embodiment of a particular specific embodiment and is intended to illustrate the types of components that may be present in the mobile terminal described above.

[0077] In some embodiments, the mobile terminal may have a touch display screen 4. In some embodiments, the touch display screen 4 has a user interface (GUI). The user may operate through instructions given by the user interface. The instructions given by the user interface are stored / configured in a computer program product or readable storage medium executable by one or more processors 1.

[0078] In the above environment, the present application provides a mobile terminal payment anti-fraud system for electricity purchase based on bio-probe technology, including:

[0079] Camera module 3, used for capturing a first facial image and a second facial image of a target object;

[0080] The mobile terminal sensor module 5 is used to obtain the position coordinates of the mobile terminal, the first position coordinates of the mobile terminal when acquiring the first facial image of the target object, and the second position coordinates of the mobile terminal when acquiring the second facial image of the user;

[0081] Memory 2, used for storing a first facial image and a second facial image of a target object;

[0082] Processor 1, used for determining whether the second facial image matches the second facial image information of the registered target object stored in the memory;

[0083] During the process of the camera module 3 capturing the facial image of the target object, the head of the target object to be captured is in the image capture area of ​​the mobile terminal. During the facial image capture process, the target object usually faces the mobile terminal, so the facial image of the target object is generally captured by the front camera module of the mobile terminal, and the image capture frame can be displayed on the screen of the mobile terminal. In a possible implementation method, the camera module obtains the first facial image and the second facial image in the following manner: the mobile terminal captures a video of the target object through the camera module, and captures a frame of image in the video as the first facial image or the second facial image of the target object.

[0084] The mobile terminal sensor module in this embodiment is a gyroscope sensor 501 and an acceleration sensor 502. The gyroscope sensor 501 and the acceleration sensor 502 cooperate to acquire the first position coordinates and the second position coordinates of the mobile terminal.

[0085] In the scheme disclosed in the embodiment of the present application, when the camera captures the first facial image and the second facial image of the target object, the gyroscope sensor 501 and the acceleration sensor 502 obtain the position coordinates of the captured first facial image and the second facial image, and the processor 1 determines whether the captured second facial image of the target object matches the second facial image stored in the memory when the relative position changes of the first position coordinates and the second position coordinates are the same by comparing the relative position changes of the first position coordinates and the second position coordinates. If they match, the authentication is successful.

[0086] In an optional embodiment, when the camera captures the first facial image and the second facial image of the target object, the gyroscope sensor 501 and the acceleration sensor 502 obtain the position coordinates of the first facial image and the second facial image of the target object, and the processor 1 records the interval time of moving from the first position coordinate to the second position coordinate, and stores the facial photos of the target object corresponding to the multiple second position coordinates and the interval time in the memory 2. After the target object initiates an authentication request, the camera module 3 first authenticates the first facial photo of the target object, and the processor 1 compares the first facial photo of the target object with the first facial photo stored in the memory 2 to see if they match. If they match, the target object is prompted to perform the second facial image authentication. Authentication, the mobile terminal moves in any direction of "up, down, left, right, front, and back", the camera module 3 takes a second facial photo of the target object and stores it in the memory 2, the processor 1 obtains the second position coordinates of the mobile terminal after the change relative to the first position coordinates when taking the second facial photo of the target object, and the interval time between taking the first facial image and the second facial image, then the processor 1 compares the second facial image corresponding to the second position coordinates after the change relative to the first position coordinates with the second facial image corresponding to the second position coordinates of the mobile terminal after the change relative to the first position coordinates when taking the second facial photo of the target object stored in the memory 2 during registration, if they match, the authentication is passed. The scheme provided in this embodiment further increases the difficulty of fraudulent authentication and protects the property safety of users in power mobile terminals.

[0087] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with this technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the scope of protection of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the attached claims rather than the above description, and it is intended to include all changes within the meaning and scope of the equivalent elements of the claims in the present invention.

Claims

1. A mobile terminal payment and electricity purchase anti-fraud method based on bio-probe technology, characterized in that: The steps include: Acquiring first position coordinates of the mobile terminal when capturing a first facial image of the target object; Determining whether the first facial image matches the first facial information of the registered target object stored in the mobile terminal; If they match, moving the mobile terminal from the first position coordinates to the second position coordinates, and capturing a second facial image of the target object after the mobile terminal moves to the second position coordinates; Determining whether the second facial image matches the second facial image information of the registered target object stored in the mobile terminal, the second facial image information of the registered target object stored in the mobile terminal being the second facial image when the first position coordinates and the second position coordinates stored in the mobile terminal have the same relative position change; If they match, the mobile terminal confirms that the user authentication is successful; While acquiring the second facial image of the target object, the server also acquires the interval time between acquiring the second facial image of the target object and acquiring the first facial image of the target object; Determining whether the second facial image matches the second facial image information of the registered target object stored in the server further includes: determining whether the second facial image collected within the interval time matches the second facial image stored in the server within the interval time and when the relative position changes of the first position coordinates and the second position coordinates are the same.

2. According to claim 1, a method for anti-fraud of mobile terminal payment for electricity purchase based on biological probe technology is characterized in that: The first position coordinates and the second position coordinates are obtained through one or more data of a gyroscope sensor, a gravity sensor, and an angular velocity sensor built into the mobile terminal.

3. According to claim 2, a method for anti-fraud of mobile terminal payment for electricity purchase based on biological probe technology is characterized in that: The method for acquiring the second position coordinates includes: Taking the first position coordinate as the coordinate origin; Changing the position of the mobile terminal in one or more combinations of the directions of "up, down, left, right, front, and back"; The gyroscope sensor and the acceleration sensor cooperate to obtain the position change information of the mobile terminal; Generate second position coordinates.

4. A mobile terminal payment and electricity purchase anti-fraud system based on bio-probe technology, characterized in that: include: A camera module, used for capturing a first facial image and a second facial image of a target object; A mobile terminal sensor module, used to obtain a first position coordinate when the camera module captures a first facial image of the target object, and a second position coordinate when the camera module captures a second facial image, wherein the mobile terminal sensor module includes one or more of a gyroscope sensor, an acceleration sensor, a gravity sensor, and an angular velocity sensor; a memory module, configured to store the first facial image, the second facial image, the first position coordinates, the second position coordinates, and a second facial image corresponding to a time series change of the second position coordinates relative to the first position coordinates of the target object; a processor module, communicating with the memory module, and configured to determine whether the second facial image matches the second facial image information of the registered target object stored in the memory module, wherein the second facial image information of the registered target object stored in the memory module is a second facial image when the relative position changes of the first position coordinates and the second position coordinates stored in the memory module are the same after the first position coordinates and the second position coordinates change at the same interval time; The processor module is further used to obtain an interval time between capturing a second facial image of the target object and capturing a first facial image of the target object.

Images