CN111178883A - Abnormality determination method and apparatus, storage medium, and electronic apparatus - Google Patents
Abnormality determination method and apparatus, storage medium, and electronic apparatus Download PDFInfo
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- CN111178883A CN111178883A CN201911295512.4A CN201911295512A CN111178883A CN 111178883 A CN111178883 A CN 111178883A CN 201911295512 A CN201911295512 A CN 201911295512A CN 111178883 A CN111178883 A CN 111178883A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0225—Avoiding frauds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/387—Payment using discounts or coupons
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
Abstract
The invention provides an abnormality determination method and device, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring the use condition of a target coupon, wherein the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon; acquiring at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier; and determining whether the target coupon is abnormal or not according to the voice data, solving the problems of low supervision efficiency and the like of the using condition of the coupon in the related technology, and further improving the management efficiency of cash register coupon cash register events by a voice recognition function.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to an abnormality determination method and apparatus, a storage medium, and an electronic apparatus.
Background
The cashier collects and summarizes the payment of the company, and correctly inputs the sales data into the cash register, and provides the correct sales information to the full-time personnel of the company (i.e. which commodities are sold at what time, how much they are sold, payment mode, etc.) according to the information, the company carries out data summarization and analysis on the types, quantity, price, payment mode, etc. of the commodities, and the cashier is an important component of the whole company information network.
In online stores, some cashiers are working at ease, and pay attention to the fact that the cashiers are full of private bags in the cashier process. Such as: directly receiving cash or receiving payment through the two-dimensional code of the user without making a bill by a financial system of a company, and collecting the payment of goods as used; cash register is carried out by utilizing the difference between cash vouchers, group buying and the like and direct payment.
In the prior art, a video monitoring system is usually adopted to shoot the on-duty image information of the cashier all the day, and the situation of the cash voucher of the cashier during on-duty work is known by replaying a video picture or checking a monitoring picture by a specially-assigned person in real time. In this way, a large labor cost is required for replaying the video pictures or a specially-assigned person to view the monitoring pictures in real time, and a large amount of video pictures require a large storage space. Secondly, the method of changing payment by private (using cash voucher to cash) is difficult to find by video monitoring, and the monitoring efficiency is not high.
Aiming at the problems that the supervision efficiency of the using condition of the coupon is not high and the like in the related technology, an effective technical scheme is not provided yet.
Disclosure of Invention
The embodiment of the invention provides an abnormality determining method and device, a storage medium and an electronic device, which are used for at least solving the problems of low supervision efficiency on the use condition of a coupon in the related technology and the like.
According to an embodiment of the present invention, there is provided an abnormality determination method including: acquiring the use condition of a target coupon, wherein the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon; acquiring at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier; and determining whether the use of the target coupon is abnormal or not according to the voice data.
In the embodiment of the present invention, before obtaining the usage of the target coupon, the method further includes: acquiring all use conditions of all coupons; a target coupon is selected from all coupons.
In the embodiment of the invention, at least one of the following voice data in the corresponding target area of the settlement device is acquired: the first voice data of the target object, the second voice data of the cashier, and the voice data within the preset time range determined based on the use time are acquired.
In the embodiment of the invention, whether the use of the target coupon is abnormal or not is determined according to the voice data, and the use of the target coupon is determined to be not abnormal under the condition that the target voice data appears in the voice data; and determining that the use of the target coupon is abnormal under the condition that the target voice data does not appear in the voice data.
In this embodiment of the present invention, when target voice data does not appear in the voice data, after determining that there is an abnormality in the use of the target coupon, the method further includes: acquiring video data corresponding to the second voice data; it is determined whether there is an abnormality in the use of the target coupon based on the video data.
According to another embodiment of the present invention, there is also provided an abnormality determination apparatus including: the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the use condition of a target coupon, and the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon; a second obtaining module, configured to obtain at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier; and the determining module is used for determining whether the use of the target coupon is abnormal or not according to the voice data.
In the embodiment of the present invention, the second obtaining module is further configured to obtain the voice data within a predetermined time range determined based on the usage time.
In the embodiment of the present invention, the determining module is further configured to determine that there is no abnormality in the use of the target coupon when the target voice data appears in the voice data; and determining that the use of the target coupon is abnormal under the condition that the target voice data does not appear in the voice data.
In the embodiment of the invention, the first obtaining module is further used for obtaining all use conditions of all coupons; a target coupon is selected from all coupons.
In the embodiment of the present invention, the determining module is further configured to obtain video data corresponding to the second voice data; it is determined whether there is an abnormality in the use of the target coupon based on the video data.
According to another embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the use condition of the target coupon is obtained, wherein the use condition is used for indicating the use time of the target coupon and the settlement equipment of the coupon; acquiring at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier; and determining whether the target coupon is abnormal or not according to the voice data, solving the problems of low supervision efficiency and the like on the using condition of the coupon in the related technology, and further improving the management efficiency of cash register coupon cash register events by a voice recognition function.
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 configuration of a monitoring apparatus of an abnormality determination method according to an embodiment of the present invention;
FIG. 2 is a flow chart of an anomaly determination method according to an embodiment of the present invention;
fig. 3 is a block diagram of the structure of an abnormality determining apparatus according to an embodiment of the present 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. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The method provided by the embodiment of the application can be executed in a monitoring device, a computer terminal or a similar operation device. Taking an example of an operation on a monitoring device, fig. 1 is a hardware structure block diagram of the monitoring device of the abnormality determining method according to the embodiment of the present invention. As shown in fig. 1, the monitoring device 10 may include one or more (only one shown in fig. 1) processors 102 (the processors 102 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, and optionally, a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is merely illustrative and is not intended to limit the structure of the monitoring device described above. For example, the monitoring device 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration with equivalent functionality to that shown in FIG. 1 or with more functionality than that shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program and a module of application software, such as a computer program corresponding to the abnormality determination method in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the method described above. The memory 104 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 104 may further include memory located remotely from the processor 102, which may be connected to the monitoring device 10 via 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 transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the monitoring device 10. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
An embodiment of the present invention provides an abnormality determining method, which is applied to the monitoring device shown in fig. 1, and fig. 2 is a flowchart of the abnormality determining method according to the embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S202, obtaining the use condition of a target coupon, wherein the use condition is used for indicating the use time of the target coupon and the settlement equipment of the coupon;
step S204, acquiring at least one of the following voice data in the corresponding target area of the settlement equipment: first voice data of the target object and second voice data of the cashier;
and step S206, determining whether the use of the target coupon is abnormal or not according to the voice data.
By the method, the use condition of the target coupon is obtained, wherein the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon; acquiring at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier; and determining whether the target coupon is abnormal or not according to the voice data, solving the problems of low supervision efficiency and the like of the using condition of the coupon in the related technology, and further improving the management efficiency of cash register coupon cash register events by a voice recognition function.
Before obtaining the usage of the target coupon in step S202, the method further includes: acquiring all use conditions of all coupons; a target coupon is selected from all coupons. For example, when the target coupon is used, the use condition of all current coupons is obtained firstly, and the target coupon is found out from all the coupons according to the number or the index information.
In the embodiment of the invention, at least one of the following voice data in the corresponding target area of the settlement device is acquired: the first voice data of the target object, the second voice data of the cashier, further, the voice data in the predetermined time range determined based on the usage time is acquired. For example, when performing settlement on the settlement device, first voice data of a target object using a target coupon in a target area and second voice data of a cashier using the settlement device may be acquired, and voice data of one hour or one day may also be acquired according to the use time of the settlement device, which is not limited by the present invention with respect to the predetermined time range, and specifically, if the use time of the coupon is 10:00 am, 9 am may be acquired: voice data of the target object and cashier between 30 and 10:30 am.
Through the embodiment, the voice data of the settlement equipment in the target area in the service time can be acquired, the management efficiency of cash register coupon cash register events of cashiers is improved through the voice recognition function, and the problem of low supervision efficiency of service conditions of coupons is solved.
In the embodiment of the invention, whether the use of the target coupon is abnormal or not is determined according to the voice data, and the use of the target coupon is determined to be not abnormal under the condition that the target voice data appears in the voice data; and determining that the use of the target coupon is abnormal under the condition that the target voice data does not appear in the voice data. For example, if, for example, "coupon", "have coupon? If there is no target voice data such as "coupon" in the voice data, then there is an exception in the use of the coupon.
By the embodiment, whether the use of the coupon is abnormal or not can be clearly known by acquiring the target voice data, and the use of the coupon can be better monitored.
In this embodiment of the present invention, when target voice data does not appear in the voice data, after determining that there is an abnormality in the use of the target coupon, the method further includes: acquiring video data corresponding to the second voice data; it is determined whether there is an abnormality in the use of the target coupon based on the video data. When the target voice data is not in the voice data acquired by the computing device, and the use of the coupon is determined to be abnormal, whether the use of the coupon is abnormal or not can be further determined, for example, video data within a preset time range is acquired, and whether the use of the coupon is abnormal or not is further judged.
The following describes the above flow with reference to another alternative embodiment, but the technical solution of the embodiment of the present invention is not limited thereto, and the solution provides a cashier management method based on voice recognition, in which a monitoring device and a voice collecting device need to be installed in a cashier area. In the optional embodiment of the invention, the payment mode of the consumer is extracted through a voice analysis function, and whether the voucher is used by the consumer or not and whether the situation that the cashier uses the voucher for cash register privately or not is analyzed by combining the use situation of the voucher in settlement.
The judgment steps of the optional embodiment of the invention are as follows:
step 1: the system background automatically counts the conditions of using coupons such as cash vouchers, coupons, group purchase vouchers and the like to settle accounts, and records the using time of the coupons and corresponding settlement sheets;
step 2: locking a corresponding checkout device (which is equivalent to the checkout device of the embodiment) and a corresponding monitoring device and a corresponding voice collecting device according to the checkout bill;
and step 3: a preset time threshold value, which is used for extracting a monitoring video clip and an audio clip with a specified duration from front to back (which can be understood as an embodiment of the preset time range in the above embodiment) according to the use time of the coupon;
and 4, step 4: analyzing the designated audio information, and constructing an individual voiceprint model and sensitive words of the cashier in advance, such as words for inquiring payment modes, such as 'how to pay' and 'how to pay', and the like. And after the cashier speaks sensitive words through voice recognition, recognizing answer words corresponding to the consumer, and analyzing the payment mode of the consumer to determine whether the words indicating the use of the coupon, such as 'repudiation coupon', 'group purchase coupon', 'use coupon', and the like, appear. If the coupon is not used, the system analyzes that the coupon is used without exception; if the coupon is not found, the system marks that the coupon is abnormal in use, and pulls the corresponding monitoring video clip for evidence collection.
Through the judging steps, the payment mode selected by the consumer is extracted through the using time of the coupon, whether the coupon is used by the consumer is judged, the camera is guided to conduct video recording and evidence obtaining, whether the work of the cashier is abnormal or not is identified, the supervision efficiency is improved, the safety degree of shop funds is improved, and the probability of occurrence of a full private bag event in the cashier is reduced.
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 (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, an abnormality determining apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, and the description already made is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a block diagram of the structure of an abnormality determining apparatus according to an embodiment of the present invention, as shown in fig. 3, the apparatus including:
(1) a first obtaining module 32, configured to obtain a usage situation of a target coupon, where the usage situation is used to indicate a usage time of the target coupon and a settlement device of the coupon;
(2) a second obtaining module 34, configured to obtain at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier;
(3) and the determining module 36 is used for determining whether the use of the target coupon is abnormal or not according to the voice data.
By the device, the use condition of the target coupon is obtained, wherein the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon; acquiring at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier; and determining whether the target coupon is abnormal or not according to the voice data, solving the problems of low supervision efficiency and the like of the using condition of the coupon in the related technology, and further improving the management efficiency of cash register coupon cash register events by a voice recognition function.
In the embodiment of the present invention, the second obtaining module is further configured to obtain the voice data within a predetermined time range determined based on the usage time. For example, when performing settlement on the settlement device, first voice data of a target object using a target coupon in a target area and second voice data of a cashier using the settlement device may be acquired, and voice data of one hour or one day may also be acquired according to the use time of the settlement device, which is not limited by the present invention with respect to the predetermined time range, and specifically, if the use time of the coupon is 10:00 am, 9 am may be acquired: voice data of the target object and cashier between 30 and 10:30 am.
Through the embodiment, the voice data of the settlement equipment in the target area in the service time can be acquired, the management efficiency of cash register coupon cash register events of cashiers is improved through the voice recognition function, and the problem of low supervision efficiency of service conditions of coupons is solved.
In the embodiment of the present invention, the determining module is further configured to determine that there is no abnormality in the use of the target coupon when the target voice data appears in the voice data; and determining that the use of the target coupon is abnormal under the condition that the target voice data does not appear in the voice data. For example, if, for example, "coupon", "have coupon? If there is no target voice data such as "coupon" in the voice data, then there is an exception in the use of the coupon.
By the embodiment, whether the use of the coupon is abnormal or not can be clearly known by acquiring the target voice data, and the use of the coupon can be better monitored.
In the embodiment of the invention, the first obtaining module is further used for obtaining all use conditions of all coupons; a target coupon is selected from all coupons. For example, when the target coupon is used, the use condition of all current coupons is obtained firstly, and the target coupon is found out from all the coupons according to the number or the index information.
In the embodiment of the present invention, the determining module is further configured to obtain video data corresponding to the second voice data; it is determined whether there is an abnormality in the use of the target coupon based on the video data. When the voice data acquired by the computing device does not contain the target voice data, when the use of the coupon is determined to be abnormal, the video data in the time period is acquired, whether the use of the coupon is abnormal or not is further judged, for example, the video data in the preset time range is acquired, and whether the use of the coupon is abnormal or not is further judged.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
An embodiment of the present invention further provides a storage medium including a stored program, wherein the program executes any one of the methods described above.
Alternatively, in the present embodiment, the storage medium may be configured to store program codes for performing the following steps:
s1, obtaining the use condition of the target coupon, wherein the use condition is used for indicating the use time of the target coupon and the settlement device of the coupon;
s2, acquiring at least one of the following voice data in the corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier;
and S3, determining whether the use of the target coupon is abnormal or not according to the voice data.
An embodiment of the present invention further provides a storage medium including a stored program, wherein the program executes any one of the methods described above.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, obtaining the use condition of the target coupon, wherein the use condition is used for indicating the use time of the target coupon and the settlement device of the coupon;
s2, acquiring at least one of the following voice data in the corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier;
and S3, determining whether the use of the target coupon is abnormal or not according to the voice data.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An abnormality determination method, characterized by comprising:
acquiring the use condition of a target coupon, wherein the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon;
acquiring at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier;
and determining whether the use of the target coupon is abnormal or not according to the voice data.
2. The method of claim 1, wherein prior to obtaining the usage of the targeted coupon, the method further comprises:
acquiring all use conditions of all coupons;
selecting a target coupon from the all coupons.
3. The method according to claim 1, characterized in that at least one of the following voice data within the corresponding target area of the settlement device is acquired: first voice data of the target object, second voice data of the cashier, comprising:
acquiring the voice data within a predetermined time range determined based on the usage time.
4. The method of claim 1, wherein determining whether the targeted coupon usage is anomalous based on the voice data comprises:
determining that there is no abnormality in the use of the target coupon when target voice data is present in the voice data;
and determining that the use of the target coupon is abnormal under the condition that the target voice data does not appear in the voice data.
5. The method of claim 4, wherein after determining that there is an anomaly in the use of the target coupon in the absence of target voice data in the voice data, the method further comprises:
acquiring video data corresponding to the second voice data;
and determining whether the use of the target coupon is abnormal according to the video data.
6. An abnormality determination device characterized by comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the use condition of a target coupon, and the use condition is used for indicating the use time of the target coupon and a settlement device of the coupon;
a second obtaining module, configured to obtain at least one of the following voice data in a corresponding target area of the settlement device: first voice data of the target object and second voice data of the cashier;
and the determining module is used for determining whether the use of the target coupon is abnormal or not according to the voice data.
7. The apparatus of claim 6, wherein the second obtaining module is further configured to obtain the voice data within a predetermined time range determined based on the usage time.
8. The apparatus of claim 6, wherein the determining module is further configured to determine that there is no abnormal usage of the target coupon if target voice data is present in the voice data; and determining that the use of the target coupon is abnormal under the condition that the target voice data does not appear in the voice data.
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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