CN111739236A - Anti-theft monitoring method, device and system and computer system - Google Patents
Anti-theft monitoring method, device and system and computer system Download PDFInfo
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- CN111739236A CN111739236A CN202010393304.4A CN202010393304A CN111739236A CN 111739236 A CN111739236 A CN 111739236A CN 202010393304 A CN202010393304 A CN 202010393304A CN 111739236 A CN111739236 A CN 111739236A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0018—Constructional details, e.g. of drawer, printing means, input means
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Qualifying participants for shopping transactions
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0036—Checkout procedures
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/12—Cash registers electronically operated
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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Abstract
The application discloses an anti-theft monitoring method, an anti-theft monitoring device, an anti-theft monitoring system and a computer system, wherein the method comprises the following steps: calling a camera to shoot a real-time shopping image of a user; determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image; receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled; matching the actually selected commodity with the commodity to be settled; when the matching is unsuccessful, an alarm signal is sent out, so that whether all products in the shopping cart of the user are accurately identified through settlement or not is realized, the identification efficiency is ensured, the safety of commodities is also ensured, extra manpower is not needed, and the labor cost is saved.
Description
Technical Field
The present invention relates to the field of anti-theft monitoring, and in particular, to an anti-theft monitoring method, apparatus, system and computer system.
Background
With the continuous promotion of intelligent retail projects, self-service terminals for self-service settlement are also popularized to more and more shopping places such as supermarkets, convenience stores and the like.
However, self-service settlement technology is still immature at present, and one of the problems faced is that theft is more likely to occur compared with traditional manual settlement. Therefore, how to ensure that the shopping experience of the customer is ensured and the commodity is not lost due to bar code scanning omission or intentional stealing is a great technical problem to be solved in the field.
Disclosure of Invention
In order to solve the defects of the prior art, the invention mainly aims to provide an anti-theft monitoring method, an anti-theft monitoring device, an anti-theft monitoring system and a computer system, so as to realize the purpose of identifying whether all products actually selected by a user are settled.
In order to achieve the above object, the present invention provides, in a first aspect, an anti-theft monitoring method, including:
calling a camera to shoot a real-time shopping image of a user;
determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
matching the actually selected commodity with the commodity to be settled;
and when the matching is unsuccessful, sending out an alarm signal.
In some embodiments, the method further comprises:
collecting at least one biological identification technical characteristic of the user, wherein the biological identification technical characteristic comprises a fingerprint and a face image;
determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID;
reading a credit level corresponding to the characteristic ID;
and when the corresponding credit level is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
In some embodiments, the method further comprises:
when the matching is successful, generating a payment channel corresponding to the settlement request and updating the settlement times corresponding to the characteristic ID;
when the user payment is successful, updating the payment times corresponding to the characteristic ID;
and when the difference value between the settlement times and the payment times exceeds a first preset threshold value, reducing the credit level corresponding to the characteristic ID.
In some embodiments, when the user payment is successful, updating the number of payments corresponding to the feature ID includes:
counting the total time spent by the user in completing the payment;
when the total consumed time exceeds a preset time threshold, generating a delayed payment record corresponding to the characteristic ID;
and when the number of the delayed payment records exceeds a second preset threshold value, reducing the credit level corresponding to the characteristic ID.
In some embodiments, said issuing an alarm signal when the match is unsuccessful comprises:
and reducing the credit level corresponding to the characteristic ID.
In some embodiments, said issuing an alarm signal when the match is unsuccessful comprises:
acquiring a self-service terminal corresponding to the settlement request;
and sending the alarm signal containing the self-service terminal to a mobile terminal of a store personnel.
In a second aspect, the present application provides an anti-theft monitoring device, characterized in that the device comprises:
the communication module is used for calling the camera to shoot a real-time shopping image of the user;
the processing module is used for determining the commodity actually selected by the user, and the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
the payment module is used for receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
the matching module is used for matching the actually selected commodity with the commodity to be settled;
and the alarm module is used for sending out an alarm signal when the matching is unsuccessful.
In a third aspect, the present application provides an anti-theft monitoring system, which is characterized in that the system includes:
the camera is used for shooting a real-time shopping image of a user; determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
the self-service terminal is used for receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled; matching the actually selected commodity with the commodity to be settled; and when the matching is unsuccessful, sending out an alarm signal.
In some embodiments, the system further comprises a credit acquisition device, the self-service terminal can be further used for acquiring at least one biometric technical feature of the user, wherein the biometric technical feature comprises a fingerprint and a face image; determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID; the credit acquisition device is used for reading the credit level corresponding to the characteristic ID; and when the corresponding credit level is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
In a fourth aspect, the present application provides a computer system comprising:
one or more processors;
and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
calling a camera to shoot a real-time shopping image of a user;
determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
matching the actually selected commodity with the commodity to be settled;
and when the matching is unsuccessful, sending out an alarm signal.
The invention has the following beneficial effects:
the application discloses an anti-theft monitoring method, which comprises the following steps: calling a camera to shoot a real-time shopping image of a user; determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image; receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled; matching the actually selected commodity with the commodity to be settled; when the matching is unsuccessful, an alarm signal is sent out, so that whether all products in the shopping cart of the user are settled or not is identified, the identification efficiency is ensured, the safety of the commodities is also ensured, additional manpower is not needed, and the labor cost is saved;
the application also discloses collecting at least one biological identification technical characteristic of the user, wherein the biological identification technical characteristic comprises a fingerprint and a face image; determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID; reading a credit level corresponding to the characteristic ID; when the corresponding credit level is lower than the preset credit threshold, an early warning signal is generated and sent to the mobile terminal of the store personnel, the fact that the user is identified based on the biological identification technical characteristics of each user is achieved, the credit level of each user is evaluated, when the credit level of the user is lower than the preset threshold, the early warning signal can be issued to the staff of the store in advance, the staff can pay key attention to the user with the low credit level, and the loss rate of commodities is reduced.
All products of the present invention need not have all of the above-described effects.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of the operation of an anti-theft system for stores provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method provided by an embodiment of the present application;
FIG. 3 is a block diagram of an apparatus according to an embodiment of the present disclosure;
FIG. 4 is a system architecture diagram provided by an embodiment of the present application;
fig. 5 is a computer system structure diagram provided in the embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As described in the background art, in order to solve the technical problem that the self-service settlement in the prior art is easier to cause that a customer misses the bar code or steals the commodity, the application constructs a set of store anti-theft system, as shown in figure 1, the related personnel comprise store staff and consumers, the equipment comprises a handheld terminal of the staff, a self-service terminal and a camera for self-service shopping settlement, the related information processing system comprises a credit system, a push system and a transaction system, the information processing systems can be arranged on the cloud server and can be used for carrying out image processing with the self-service terminal, so as to realize the monitoring of the whole flow of transaction settlement after the customer enters the store and further carry out credit rating, the users with low credit rating are monitored in a key mode, actual purchased commodities of each user are matched with settled commodities, and the loss rate of the commodities is reduced.
Example one
Specifically, the above scheme can be realized by the following steps:
the method comprises the steps of firstly, collecting at least one biological identification technical characteristic of a customer, wherein the biological identification technical characteristic comprises a fingerprint and a face image;
when a customer uses the self-service terminal to settle accounts by self, the self-service terminal can collect the fingerprint and the face image of the customer through the arranged camera and the fingerprint collecting device, and the collected fingerprint and the face image are uploaded to the credit system.
Secondly, the credit system identifies the received biological identification technical characteristics and returns a credit file corresponding to the customer;
the credit system can identify the face image and the fingerprint, when the customer is a new user and does not have the corresponding characteristic ID, the characteristic ID corresponding to the customer is established according to the face image and the fingerprint of the customer, a corresponding credit file is established for each customer, and the credit file is used for recording the credit grade, the characteristic ID and the violation record of the customer. The violation record is a history of the occurrence of an unpaid transaction of all or a portion of the product by the customer.
When the customer is not a new user, namely the corresponding characteristic ID exists, the credit system matches the characteristic ID corresponding to the returned biometric technical characteristic after receiving the biometric technical characteristic returned by the self-service terminal, reads the corresponding credit file, determines the credit grade and violation record of the customer and returns the corresponding credit file to the self-service terminal.
The credit system uses the feature IDs, each representing a customer, as the customer's identification code. The feature ID credit system obtained from the matching may identify the corresponding customer and read the feature ID corresponding to the customer.
When the credit rating of the customer is lower than a corresponding preset threshold value or violation records exist, the credit system positions the store where the self-service terminal returned by the credit system is located, generates early warning messages containing the store, the self-service terminal and the violation records and uploads the early warning messages to the pushing system, and the pushing system pushes the early warning messages to the mobile terminal of the corresponding store personnel to remind the store personnel to manually monitor the customer who uses the self-service terminal to settle accounts.
Specifically, the early warning message may include identification information such as a device code and a location of the self-service terminal, so that store personnel can find the corresponding self-service terminal.
Step two, the self-service terminal judges whether video recording is needed or not according to the returned credit file;
specifically, when the credit rating of the customer is lower than a preset value, the self-service terminal reminds the customer that video recording is to be performed and sends a shooting command to the AI camera.
In order to establish serial communication with the AI camera, a communication protocol and a data format corresponding to the camera need to be predefined.
Step three, shooting a real-time shopping image of a customer by an AI camera, and determining a commodity actually selected by the customer, wherein the commodity actually selected by the customer is obtained by carrying out image analysis on the real-time shopping image;
specifically, the AI camera can shoot images of a shopping cart of a customer, perform image analysis on the images, determine commodities and corresponding quantities actually put into the shopping cart by the customer, and send the determined commodities and quantities to the self-service terminal.
And the AI camera can also transmit the shot real-time shopping images to the self-service terminal, and the self-service terminal analyzes the real-time shopping images to determine the commodities and the corresponding quantity of the commodities which are actually put into the shopping cart by the customer.
Step four, the self-service terminal receives the goods to be settled, which are input by the customer, and generates a corresponding settlement request when the customer applies for settlement;
specifically, the commodity to be settled may be entered by scanning a barcode of the commodity by a customer or manually inputting the barcode of the commodity, or may be entered by using another method, which is not limited in the present application.
Step five, the self-service terminal matches the actually selected commodities with the commodities to be settled;
when the matching is unsuccessful, the self-service terminal can generate a matching failure message and upload the actually selected commodities and the commodities to be settled to the credit system. The credit system can analyze the illegal records, when the abnormity is judged, the illegal records corresponding to the customer are generated and stored in the credit file of the user, the credit level of the customer is reduced, the alarm message containing the store, the self-service terminal and the illegal records is generated and uploaded to the pushing system, and the alarm message is pushed to the staff of the corresponding store by the pushing system for processing.
Specifically, the alarm message may include identification information such as a device code and a location of the self-service terminal, so that store personnel can find the corresponding self-service terminal.
Step six, when the matching is successful, uploading a list of the commodities to be settled to a transaction system, generating a corresponding transaction channel by the transaction system and returning the transaction channel to the self-service terminal;
the transaction channel corresponding to the generation can be a payment mode such as generating a two-dimensional code for code scanning payment.
Step seven, the self-service terminal counts the total time consumed by the customer to finish payment and generates a settlement record of the customer;
when the payment fails, the self-service terminal uploads the settlement records of the customer to a credit system;
and the credit system updates the settlement times of the customer according to the settlement records, and reduces the credit level of the customer when the difference value between the payment times and the settlement times exceeds a preset value.
When the difference between the payment times and the settlement times exceeds a preset value, it is presumed that the user may have an action of generating a payment page without paying to evade supervision, and the credit level is lowered in response to the user.
When the payment is successful, the self-service terminal generates a payment record of the customer and uploads the total payment duration, the settlement record and the payment record to a credit system;
when the credit system judges that the total payment time of a customer exceeds a preset time threshold, generating a delayed payment record of the customer;
when the number of delayed payment records for a customer exceeds a preset value, the credit rating of the customer is decreased.
The credit system determines that a customer may have an intent to evade payment based on a record that multiple payments by the customer took too long, and decreases the customer's credit rating accordingly.
By using the scheme, the credit state of each user can be monitored by maintaining the credit file corresponding to each user, and the users in the credit states pay more attention to reduce the loss rate of commodities.
Example two
Corresponding to the above embodiment, as shown in fig. 2, the present application discloses an anti-theft monitoring method, including:
210. calling a camera to shoot a real-time shopping image of a user;
220. determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
230. receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
240. matching the actually selected commodity with the commodity to be settled;
250. and when the matching is unsuccessful, sending out an alarm signal.
Preferably, the sending an alarm signal when the matching is unsuccessful comprises:
251. acquiring a self-service terminal corresponding to the settlement request;
and sending the alarm signal containing the self-service terminal to a mobile terminal of a store personnel.
Preferably, the method further comprises:
260. collecting at least one biological identification technical characteristic of the user, wherein the biological identification technical characteristic comprises a fingerprint and a face image;
261. determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID;
reading a credit level corresponding to the characteristic ID;
and when the corresponding credit grade is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
Preferably, the sending an alarm signal when the matching is unsuccessful comprises:
262. and reducing the credit level corresponding to the characteristic ID.
Preferably, the method further comprises:
264. when the matching is successful, generating a payment channel corresponding to the settlement request and updating the settlement times corresponding to the characteristic ID;
265. and updating the payment times corresponding to the characteristic ID when the user payment is successful.
Preferably, when the payment by the user is successful, updating the payment times corresponding to the feature ID includes:
266. counting the total time spent by the user in completing the payment;
when the total consumed time exceeds a preset time threshold, generating a delayed payment record corresponding to the characteristic ID;
and when the number of the delayed payment records exceeds a second preset threshold value, reducing the credit level corresponding to the characteristic ID.
267. And when the difference value between the settlement times and the payment times exceeds a first preset threshold value, reducing the credit level corresponding to the characteristic ID.
EXAMPLE III
Corresponding to the above method embodiment, as shown in fig. 3, the present application discloses an anti-theft monitoring device, including:
the communication module 310 is used for calling a camera to shoot a real-time shopping image of a user;
the processing module 320 is configured to determine a commodity actually selected by the user, where the commodity actually selected by the user is obtained by performing image analysis on the real-time shopping image;
a payment module 330, configured to receive a settlement request of the user, where the settlement request includes a commodity to be settled;
a matching module 340, configured to match the actually selected commodity with the commodity to be settled;
and an alarm module 350, configured to send an alarm signal when the matching is unsuccessful.
Preferably, the apparatus further includes an acquisition module 360, configured to acquire at least one biometric technical feature of the user, where the biometric technical feature includes a fingerprint and a face image; determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID; the alarm module 350 may also be configured to read a credit rating corresponding to the feature ID; and when the corresponding credit grade is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
Preferably, the alarm module 350 is further configured to decrease the credit level corresponding to the feature ID when the matching is unsuccessful.
Preferably, the payment module 330 is further configured to, when the matching is successful, generate a payment channel corresponding to the settlement request and update the settlement times corresponding to the feature ID; when the user payment is successful, updating the payment times corresponding to the characteristic ID; the apparatus further includes a credit acquisition module 370, configured to decrease a credit level corresponding to the feature ID when a difference between the settlement time and the payment time exceeds a first preset threshold.
Preferably, the payment module 330 is further configured to count the total time spent by the user to complete the payment; when the total consumed time exceeds a preset time threshold, generating a delayed payment record corresponding to the characteristic ID; the credit collection module 370 may be further configured to decrease the credit rating corresponding to the feature ID when the number of the deferred payment records exceeds a second preset threshold.
Example four
Corresponding to the above method embodiment, the present application provides an anti-theft monitoring system, as shown in fig. 4, the apparatus includes:
a camera 410 for capturing a real-time shopping image of a user; determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
the self-service terminal 420 is used for receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled; matching the actually selected commodity with the commodity to be settled; and when the matching is unsuccessful, sending out an alarm signal.
Preferably, the system further comprises a credit acquisition device 430, and the self-service terminal 420 is further configured to acquire at least one biometric technical feature of the user, where the biometric technical feature includes a fingerprint and a facial image; determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID; the credit acquisition device is used for reading the credit level corresponding to the ID; and when the corresponding credit grade is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
Preferably, the credit collecting device 430 is further configured to decrease the credit level corresponding to the feature ID when the matching is unsuccessful.
The self-service terminal 420 may further be configured to generate a payment channel corresponding to the settlement request and update the settlement times corresponding to the feature ID when the matching is successful; when the user payment is successful, updating the payment times corresponding to the characteristic ID; the credit collecting device 430 is configured to decrease the credit level corresponding to the feature ID when the difference between the settlement time and the payment time exceeds a first preset threshold.
The self-service terminal 420 may also be configured to count the total time spent by the user in completing the payment; when the total consumed time exceeds a preset time threshold, generating a delayed payment record corresponding to the characteristic ID; the credit collecting device 430 is configured to decrease the credit level corresponding to the feature ID when the number of the delayed payment records exceeds a second preset threshold.
The self-service terminal 420 may also be configured to obtain a self-service terminal corresponding to the settlement request; and sending the alarm signal containing the self-service terminal to a mobile terminal of a store personnel.
EXAMPLE five
Corresponding to the above method, apparatus, and system, a fifth embodiment of the present application provides a computer system, including: one or more processors; and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
calling a camera to shoot a real-time shopping image of a user;
determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
matching the actually selected commodity with the commodity to be settled;
and when the matching is unsuccessful, sending out an alarm signal.
Fig. 5 illustrates an architecture of a computer system, which may include, in particular, a processor 1510, a video display adapter 1511, a disk drive 1512, an input/output interface 1513, a network interface 1514, and a memory 1520. The processor 1510, video display adapter 1511, disk drive 1512, input/output interface 1513, network interface 1514, and memory 1520 may be communicatively coupled via a communication bus 1530.
The processor 1510 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided by the present Application.
The Memory 1520 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 1520 may store an operating system 1521 for controlling the operation of the computer system 1500, a Basic Input Output System (BIOS) for controlling low-level operations of the computer system 1500. In addition, a web browser 1523, a data storage management system 1524, an icon font processing system 1525, and the like can also be stored. The icon font processing system 1525 may be an application program that implements the operations of the foregoing steps in this embodiment of the application. In summary, when the technical solution provided by the present application is implemented by software or firmware, the relevant program codes are stored in the memory 1520 and called for execution by the processor 1510.
The input/output interface 1513 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The network interface 1514 is used to connect a communication module (not shown) to enable the device to communicatively interact with other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
The bus 1530 includes a path to transfer information between the various components of the device, such as the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, and the memory 1520.
In addition, the computer system 1500 may also obtain information of specific extraction conditions from the virtual resource object extraction condition information database 1541 for performing condition judgment, and the like.
It should be noted that although the above devices only show the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, the memory 1520, the bus 1530, etc., in a specific implementation, the devices may also include other components necessary for proper operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a cloud server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An anti-theft monitoring method, characterized in that the method comprises:
calling a camera to shoot a real-time shopping image of a user;
determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
matching the actually selected commodity with the commodity to be settled;
and when the matching is unsuccessful, sending out an alarm signal.
2. The method according to claim 1, characterized in that it comprises:
collecting at least one biological identification technical characteristic of the user, wherein the biological identification technical characteristic comprises a fingerprint and a face image;
determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID;
reading a credit level corresponding to the characteristic ID;
and when the corresponding credit level is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
3. The method of claim 2, further comprising:
when the matching is successful, generating a payment channel corresponding to the settlement request and updating the settlement times corresponding to the characteristic ID;
when the user payment is successful, updating the payment times corresponding to the characteristic ID;
and when the difference value between the settlement times and the payment times exceeds a first preset threshold value, reducing the credit level corresponding to the characteristic ID.
4. The method of claim 3, wherein updating the number of payments corresponding to the feature ID when the user payment is successful comprises:
counting the total time spent by the user in completing the payment;
when the total consumed time exceeds a preset time threshold, generating a delayed payment record corresponding to the characteristic ID;
and when the number of the delayed payment records exceeds a second preset threshold value, reducing the credit level corresponding to the characteristic ID.
5. The method of claim 3, wherein said signaling an alarm when the match is unsuccessful comprises:
and reducing the credit level corresponding to the characteristic ID.
6. The method of any of claims 1-5, wherein said signaling an alarm when the match is unsuccessful comprises:
acquiring a self-service terminal corresponding to the settlement request;
and sending the alarm signal containing the self-service terminal to a mobile terminal of a store personnel.
7. An anti-theft monitoring device, the device comprising:
the communication module is used for calling the camera to shoot a real-time shopping image of the user;
the processing module is used for determining the commodity actually selected by the user, and the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
the payment module is used for receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
the matching module is used for matching the actually selected commodity with the commodity to be settled;
and the alarm module is used for sending out an alarm signal when the matching is unsuccessful.
8. An antitheft monitoring system, the system comprising:
the camera is used for shooting a real-time shopping image of a user; determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
the self-service terminal is used for receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled; matching the actually selected commodity with the commodity to be settled; and when the matching is unsuccessful, sending out an alarm signal.
9. The anti-theft monitoring system according to claim 8, wherein the system further comprises a credit acquisition device, the self-service terminal is further operable to acquire at least one biometric technical characteristic of the user, the biometric technical characteristic comprises a fingerprint and a facial image; determining a feature ID corresponding to the acquired biological identification technical features according to the corresponding relation between the biological identification technical features and the feature ID; the credit acquisition device is used for reading the credit level corresponding to the characteristic ID; and when the corresponding credit level is lower than a preset credit threshold value, generating an early warning signal and sending the early warning signal to a mobile terminal of store personnel.
10. A computer system, the system comprising:
one or more processors;
and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
calling a camera to shoot a real-time shopping image of a user;
determining the commodity actually selected by the user, wherein the commodity actually selected by the user is obtained by carrying out image analysis on the real-time shopping image;
receiving a settlement request of the user, wherein the settlement request comprises commodities to be settled;
matching the actually selected commodity with the commodity to be settled;
and when the matching is unsuccessful, sending out an alarm signal.
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