CN110874582A - Telecommunication fraud determination method and device, storage medium and electronic device - Google Patents
Telecommunication fraud determination method and device, storage medium and electronic device Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for determining telecommunication fraud, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM); acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises the following components: the age of the target subject and whether the target subject is on-call; and determining the probability of the target object being a cheated object according to the parameter information of the target object. By acquiring monitoring video data of an area near the ATM, analyzing the age of a target object operating the ATM in the video and parameter information whether the target object is in a call or not, and determining the probability that the target object is a cheated object from multiple angles, the problem that the result achieved by a method for preventing telecommunication cheating based on character analysis in the prior art is not ideal is solved.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicles, in particular to a method and a device for determining telecommunication fraud, a storage medium and an electronic device.
Background
Most of the existing schemes for preventing telecommunication fraud identify and remind text fraud information. Text analysis based strategies involve privacy concerns on the one hand and basically fail once a deceived person is deceived into the front of an Automatic Teller Machine (ATM). The most deceived group is the older group, who usually has the telephone as the main information receiving tool.
In order to solve the problem that the result achieved by a text analysis-based telecommunication fraud prevention mode in the related art is not ideal, no effective solution exists at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining telecommunication fraud, a storage medium and an electronic device, which are used for solving the problem that the result achieved by a method for preventing telecommunication fraud based on text analysis in the related art is not ideal.
According to an embodiment of the present invention, there is provided a method for determining telecommunications fraud, including: acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM); acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises: the age of the target subject and whether the target subject is on-call; and determining the probability of the target object being a cheated object according to the parameter information of the target object.
Optionally, obtaining parameter information of the target object according to the monitoring video data includes: determining a target age range of the target object through face recognition and gait analysis to obtain first parameter information, wherein the face recognition is used for recognizing facial features of the target object, and the gait analysis is used for recognizing posture features of the target object; determining whether the target object is in a call or not through video analysis and voice analysis to obtain second parameter information; determining weights corresponding to the first parameter information and the second parameter information respectively, wherein the weight of the first parameter information is increased along with the increase of a target age range, and the weight of the second parameter information is greater when the target object is in a call state than when the target object is not in the call state.
Optionally, determining the probability that the target object is a spoofed object according to the parameter information of the target object includes: and after the first parameter information and the second parameter information are subjected to weighted summation, determining the probability that the target object is a cheated object.
Optionally, after determining the probability that the target object is a spoofed object according to the parameter information of the target object, the method further includes: when the probability that the target object is a deceived object is larger than a preset threshold value, playing prompt information to the target object, wherein the prompt information at least comprises one of the following information: text prompt information, voice prompt information and video prompt information.
Optionally, after determining the probability that the target object is a spoofed object according to the parameter information of the target object, the method further includes: and when the probability that the target object is a deceived object is larger than a preset threshold value, sending alarm information to bank staff or police.
According to another embodiment of the present invention, there is also provided a telecommunication fraud determination apparatus, including:
the first acquisition module is used for acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
a second obtaining module, configured to obtain parameter information of a target object according to the monitoring video data, where the target object is an object for operating the ATM, and the parameter information at least includes: the age of the target subject and whether the target subject is on-call;
and the determining module is used for determining the probability that the target object is a cheated object according to the parameter information of the target object.
Optionally, the second obtaining module includes:
the first determining unit is used for determining a target age range where the target object is located through face recognition and gait analysis to obtain first parameter information, wherein the face recognition is used for recognizing facial features of the target object, and the gait analysis is used for recognizing posture features of the target object;
the second determining unit is used for determining whether the target object is in a call or not through video analysis and voice analysis to obtain second parameter information;
and a third determining unit, configured to determine weights corresponding to the first parameter information and the second parameter information, respectively, where the weight of the first parameter information increases with an increase in a target age range, and the weight of the second parameter information is greater when the target object is in a state of being in a call than when the target object is not in the state of being in the call.
Optionally, the determining module includes:
and the fourth determining unit is used for determining the probability that the target object is a cheated object after the first parameter information and the second parameter information are subjected to weighted summation.
Optionally, the apparatus further comprises:
a playing module, configured to play prompt information to the target object when the probability that the target object is a spoofed object is greater than a preset threshold, where the prompt information at least includes one of: text prompt information, voice prompt information and video prompt information.
Optionally, the apparatus further comprises:
and the sending module is used for sending alarm information to bank staff or police under the condition that the probability that the target object is a deceived object is greater than a preset threshold value.
According to another embodiment of the present invention, a computer-readable storage medium is also provided, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the above-described method embodiments when executed.
According to another embodiment of the present invention, there is also provided an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the steps of any of the above method embodiments.
By the embodiment of the invention, the monitoring video data of the target area is obtained, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM); acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises the following components: the age of the target subject and whether the target subject is on-call; and determining the probability of the target object being a cheated object according to the parameter information of the target object. By acquiring monitoring video data of an area near the ATM, analyzing the age of a target object operating the ATM in the video and parameter information whether the target object is in a call or not, and determining the probability that the target object is a cheated object from multiple angles, the problem that the result of a method for preventing telecommunication fraud based on character analysis in the prior art is not ideal is solved, the accuracy of identifying the telecommunication fraud is effectively improved, and the method can be used for directionally preventing people with a relatively large age and easy cheating.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a block diagram of a hardware structure of a mobile terminal of a method of determining telecommunication fraud according to an embodiment of the present invention;
FIG. 2 is a flow chart of an alternative method of determination of telecommunications fraud in an embodiment of the present invention;
FIG. 3 is a flow chart of yet another alternative telecommunication fraud determination method in the embodiment of the present invention;
FIG. 4 is a block diagram of an alternative telecommunication fraud determination apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an alternative electronic device according to an embodiment of the invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The embodiment of the invention provides a method for determining telecommunication fraud. FIG. 1 is a schematic diagram of a hardware environment for an alternative method for determining telecommunication fraud according to an embodiment of the present invention, as shown in FIG. 1, the hardware environment may include, but is not limited to, a video capture device 102 and a server 104. The video capture device 102 sends the acquired surveillance video data to the server 104, and the server 104 outputs the probability that the target object is a spoofed object through internal processing, wherein the operations executed in the server 104 mainly include the following steps:
step S102, acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
step S104, acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises: the age of the target subject and whether the target subject is on-call;
and step S106, determining the probability that the target object is a cheated object according to the parameter information of the target object.
The server 104 may also directly determine whether the probability that the target object is a spoofed object is greater than a preset threshold, and if so, may control the prompting device to play the prompting information to the target object, and may also control the alarm device to send out alarm information to the bank staff or the police.
The video acquisition device 102 may be a high-definition camera, or may have a face scanning function, and sends face data and gait data in the acquired video to the server 104, and the server 104 determines the age group of the target object by comparing the face data and the gait data with data in the database.
The embodiment of the invention provides a method for determining telecommunication fraud. FIG. 2 is a flowchart of an optional telecommunication fraud determination method in the embodiment of the present invention, as shown in FIG. 2, the method includes:
step S202, acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
step S204, acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises: the age of the target subject and whether the target subject is on-call;
step S206, determining the probability that the target object is the cheated object according to the parameter information of the target object.
By the embodiment of the invention, the monitoring video data of the target area is obtained, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM); acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises the following components: the age of the target subject and whether the target subject is on-call; and determining the probability of the target object being a cheated object according to the parameter information of the target object. By acquiring monitoring video data of an area near the ATM, analyzing the age of a target object operating the ATM in the video and parameter information whether the target object is in a call or not, and determining the probability that the target object is a cheated object from multiple angles, the problem that the result achieved by a method for preventing telecommunication fraud based on character analysis in the prior art is not ideal is solved, the accuracy of identifying the telecommunication fraud is effectively improved, and the method can be used for directionally preventing people with larger ages.
The monitoring device acquires the monitoring video data, can be continuously acquired, acquires the monitoring video data as long as the target object operates the ATM and sends the monitoring video data to the server for analysis, and also can acquire the monitoring video data according to the operation content of the target object, for example, when the target object stores money, the monitoring video data can be not acquired or the monitoring video data is not sent to the server for detection and identification, and when the target object takes money or transfers money, the monitoring video data is sent to the server for analysis and identification.
Whether the mobile terminal equipment is held by the hand of the user or not is judged through identifying whether the mobile terminal equipment is held by the hand of the user or not in the conversation state in the video data, the mouth of the user has a speaking action, and the voice content of the user can be collected through the voice collecting equipment to judge whether the user is making a call or not, or the conversation content can be identified.
Optionally, obtaining parameter information of the target object according to the monitoring video data includes:
s1, determining a target age range of the target object through face recognition and gait analysis to obtain first parameter information, wherein the face recognition is used for recognizing facial features of the target object, and the gait analysis is used for recognizing posture features of the target object;
s2, determining whether the target object is in a call or not through video analysis and voice analysis to obtain second parameter information;
and S3, determining weights corresponding to the first parameter information and the second parameter information respectively, wherein the weight of the first parameter information is increased along with the increase of the target age range, and the weight of the second parameter information is greater when the target object is in the state of call than when the target object is not in the state of call.
For the weight of the first parameter information, one age threshold may be set, the weight exceeding the age threshold may be set as a larger weight, and the weight smaller than the age threshold may be set as a smaller weight, or a plurality of weights may be set, and different weights may be set for each age group, for example, different age groups such as less than 30 years, 30-40 years, 40-50 years, and more than 50 years.
As for the weight of the second parameter, a larger weight may be set when the target object is in a state of being in a call, and a smaller weight may be set when the target object is not in a call.
Optionally, determining the probability that the target object is a spoofed object according to the parameter information of the target object includes: and after the first parameter information and the second parameter information are subjected to weighted summation, determining the probability that the target object is a cheated object.
The basic values of the first parameter information and the second parameter information may be the same or different, and may be set according to the importance degree of the first parameter information and the second parameter information in the determination, or may be set according to different application scenarios. For example, if the base value of the first parameter information is 2, the weight value is 0.7, the base value of the second parameter information is 1, and the weight value is 0.3, the probability that the target object is not a deceptive object is 2 × 0.7+1 × 0.3 — 1.7, and when the preset threshold is 1.5, it may be determined that 1.7 exceeds the preset threshold, and an alarm message or a prompt message may be issued.
Optionally, after determining the probability that the target object is a spoofed object according to the parameter information of the target object, the method further includes: when the probability that the target object is a deceived object is larger than a preset threshold value, playing prompt information to the target object, wherein the prompt information at least comprises one of the following information: text prompt information, voice prompt information and video prompt information.
Optionally, after determining the probability that the target object is a spoofed object according to the parameter information of the target object, the method further includes: and when the probability that the target object is a deceived object is larger than a preset threshold value, sending alarm information to bank staff or police.
FIG. 3 is a flowchart of another alternative telecommunication fraud determination method in the embodiment of the present invention, as shown in FIG. 3, the method includes:
step 1: the ATM video acquisition module acquires continuous motion video of a human body close to the ATM machine. The module can collect the whole information of the target of the human body when the human body is away from the ATM by a certain distance, and can collect clear information of the upper half of the human body when the human body is close to the ATM.
Step 2: the detection module continuously detects the human body in each video frame acquired by the ATM video acquisition module, and provides a prerequisite for the realization of a subsequent module.
And step 3: the gait recognition module realizes human gait recognition by using human target information in continuous video frames within a period of time obtained by the detection module through the gait recognition module, and the current age bracket of the target human body can be preliminarily judged through the result of the gait recognition module.
And 4, step 4: the human face detection module performs human face detection at the position of the human body target on the basis of the human body target in the video extracted by the detection module, and the human face detection module has higher detection effect than full-image detection.
And 5: and the age judging module performs combined scoring based on the results of the gait recognition module and the face detection module, and finally predicts the age of the target. If the age is greater than the set threshold, the weight 1 is set to a greater alarm weight. If the age is less than the set threshold, the weight 1 is set to the smaller alarm weight. Since the greater the age, the higher the likelihood of being fraudulently.
Step 6: the detection effect of the phone calling and playing detection module is better than that of the detection of a full picture or the detection based on human target detection.
And 7: and judging whether the target has the phenomena of making a call and playing the mobile phone by using results obtained by the detection modules of making a call and playing the mobile phone. If the target is making a call or if the target is playing a cell phone, the weight 2 is set to a larger alarm weight. If the target is not present, the weight 2 is set to the smaller alarm weight. Because the possibility of fraud is higher when a person calls and plays a mobile phone when approaching the ATM.
And 8: the multi-weight combination module obtains the weight 1 in the step 5, obtains the weight 2 in the step 7, and forms the final combination score by the weight combination module through the weight combination module by using the weight 1 and the weight 2.
And step 9: if the combined score is larger than a preset threshold value, the alarm module plays anti-cheating voice or notifies a hall service staff.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
According to another aspect of the embodiments of the present invention, there is also provided a telecommunication fraud determining apparatus for implementing the above telecommunication fraud determining method. FIG. 4 is a block diagram of an alternative telecommunication fraud determination apparatus according to an embodiment of the present invention, as shown in FIG. 4, the apparatus includes:
a first obtaining module 402, configured to obtain surveillance video data of a target area, where the target area includes: an area within a predetermined range from an Automatic Teller Machine (ATM);
a second obtaining module 404, configured to obtain parameter information of a target object according to the monitoring video data, where the target object is an object for operating the ATM, and the parameter information at least includes: the age of the target subject and whether the target subject is on-call;
a determining module 406, configured to determine, according to the parameter information of the target object, a probability that the target object is a spoofed object.
Optionally, the second obtaining module 404 includes:
the first determining unit is used for determining a target age range where the target object is located through face recognition and gait analysis to obtain first parameter information, wherein the face recognition is used for recognizing facial features of the target object, and the gait analysis is used for recognizing posture features of the target object;
the second determining unit is used for determining whether the target object is in a call or not through video analysis and voice analysis to obtain second parameter information;
and a third determining unit, configured to determine weights corresponding to the first parameter information and the second parameter information, respectively, where the weight of the first parameter information increases with an increase in a target age range, and the weight of the second parameter information is greater when the target object is in a state of being in a call than when the target object is not in the state of being in the call.
Optionally, the determining module 406 includes:
and the fourth determining unit is used for determining the probability that the target object is a cheated object after the first parameter information and the second parameter information are subjected to weighted summation.
Optionally, the apparatus further comprises:
a playing module, configured to play prompt information to the target object when the probability that the target object is a spoofed object is greater than a preset threshold, where the prompt information at least includes one of: text prompt information, voice prompt information and video prompt information.
Optionally, the apparatus further comprises:
and the sending module is used for sending alarm information to bank staff or police under the condition that the probability that the target object is a deceived object is greater than a preset threshold value.
According to yet another aspect of the embodiment of the present invention, there is also provided an electronic device for implementing the above-mentioned method for determining telecommunications fraud, which can be applied, but not limited to, in the server 104 shown in fig. 1. As shown in fig. 5, the electronic device comprises a memory 502 and a processor 504, the memory 502 having a computer program stored therein, the processor 504 being arranged to perform the steps of any of the above-described method embodiments by means of the computer program.
Optionally, in this embodiment, the electronic apparatus may be located in at least one network device of a plurality of network devices of a computer network.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring the monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
s2, acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises: the age of the target subject and whether the target subject is on-call;
and S3, determining the probability that the target object is a deceived object according to the parameter information of the target object.
Alternatively, it can be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration, and the electronic device may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 5 is a diagram illustrating a structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, etc.) than shown in FIG. 5, or have a different configuration than shown in FIG. 5.
Wherein, the memory 502 can be used for storing software programs and modules, such as program instructions/modules corresponding to the method and apparatus for determining telecommunication fraud in the embodiment of the present invention, and the processor 504 executes various functional applications and data processing by running the software programs and modules stored in the memory 502, namely, implementing the above-mentioned method for determining telecommunication fraud. The memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 502 may further include memory located remotely from the processor 504, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 502 may specifically be, but not limited to, storing program steps of a method for determining telecommunication fraud. As an example, as shown in FIG. 5, the above-mentioned memory 502 may include, but is not limited to, the first acquiring module 402, the second acquiring module 404 and the determining module 406 in the above-mentioned telecommunication fraud determining apparatus. In addition, other module units in the above-mentioned telecommunication fraud determination apparatus may also be included, but are not limited to this, and are not described in detail in this example.
Optionally, the transmission device 506 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 506 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 406 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In addition, the electronic device further includes: the display 508 is used for displaying the alarm push of the suspicious account; and a connection bus 510 for connecting the respective module parts in the above-described electronic apparatus.
Embodiments of the present invention also provide a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring the monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
s2, acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises: the age of the target subject and whether the target subject is on-call;
and S3, determining the probability that the target object is a deceived object according to the parameter information of the target object.
Optionally, the storage medium is further configured to store a computer program for executing the steps included in the method in the foregoing embodiment, which is not described in detail in this embodiment.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method for determining telecommunications fraud, comprising:
acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
acquiring parameter information of a target object according to the monitoring video data, wherein the target object is an object for operating the ATM, and the parameter information at least comprises: the age of the target subject and whether the target subject is on-call;
and determining the probability of the target object being a cheated object according to the parameter information of the target object.
2. The method of claim 1, wherein obtaining parameter information of a target object according to the surveillance video data comprises:
determining a target age range of the target object through face recognition and gait analysis to obtain first parameter information, wherein the face recognition is used for recognizing facial features of the target object, and the gait analysis is used for recognizing posture features of the target object;
determining whether the target object is in a call or not through video analysis and voice analysis to obtain second parameter information;
determining weights corresponding to the first parameter information and the second parameter information respectively, wherein the weight of the first parameter information is increased along with the increase of a target age range, and the weight of the second parameter information is greater when the target object is in a call state than when the target object is not in the call state.
3. The method of claim 2, wherein determining the probability that the target object is a spoofed object according to the parameter information of the target object comprises:
and after the first parameter information and the second parameter information are subjected to weighted summation, determining the probability that the target object is a cheated object.
4. The method according to any one of claims 1 to 3, wherein after determining the probability that the target object is a spoofed object according to the parameter information of the target object, the method further comprises:
playing prompt information to the target object under the condition that the probability that the target object is a deceived object is larger than a preset threshold, wherein the prompt information at least comprises one of the following information: text prompt information, voice prompt information and video prompt information.
5. The method according to any one of claims 1 to 3, wherein after determining the probability that the target object is a spoofed object according to the parameter information of the target object, the method further comprises:
and sending alarm information to bank staff or police under the condition that the probability that the target object is a deceived object is greater than a preset threshold value.
6. An apparatus for determining telecommunication fraud, comprising:
the first acquisition module is used for acquiring monitoring video data of a target area, wherein the target area comprises: an area within a predetermined range from an Automatic Teller Machine (ATM);
a second obtaining module, configured to obtain parameter information of a target object according to the monitoring video data, where the target object is an object for operating the ATM, and the parameter information at least includes: the age of the target subject and whether the target subject is on-call;
and the determining module is used for determining the probability that the target object is a cheated object according to the parameter information of the target object.
7. The apparatus of claim 6, wherein the second obtaining module comprises:
the first determining unit is used for determining a target age range where the target object is located through face recognition and gait analysis to obtain first parameter information, wherein the face recognition is used for recognizing facial features of the target object, and the gait analysis is used for recognizing posture features of the target object;
the second determining unit is used for determining whether the target object is in a call or not through video analysis and voice analysis to obtain second parameter information;
and a third determining unit, configured to determine weights corresponding to the first parameter information and the second parameter information, respectively, where the weight of the first parameter information increases with an increase in a target age range, and the weight of the second parameter information is greater when the target object is in a state of being in a call than when the target object is not in the state of being in the call.
8. The apparatus of claim 7, wherein the determining module comprises:
and the fourth determining unit is used for determining the probability that the target object is a cheated object after the first parameter information and the second parameter information are subjected to weighted summation.
9. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to carry out the method of any one of claims 1 to 5 when executed.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 5.
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