CN112215068A - Method, device and system for monitoring user behaviors in shop and computer system - Google Patents

Method, device and system for monitoring user behaviors in shop and computer system Download PDF

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CN112215068A
CN112215068A CN202010942975.1A CN202010942975A CN112215068A CN 112215068 A CN112215068 A CN 112215068A CN 202010942975 A CN202010942975 A CN 202010942975A CN 112215068 A CN112215068 A CN 112215068A
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commodity
user
target user
identifying
preset
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戴婷
刘澍
程佳佳
王小刚
马珍珍
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Suning Cloud Computing Co Ltd
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Suning Cloud Computing Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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    • G06V20/00—Scenes; Scene-specific elements
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    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition

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Abstract

The application discloses a method, a device and a system for monitoring user behaviors in a shop, and a computer system, wherein the method comprises the steps of identifying identity information of a target user entering the shop, wherein the identity information comprises a user code corresponding to the target user; monitoring and identifying the behavior of a target user in a shop by adopting a preset method; when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code; the first association relation and the first target image are uploaded to a preset server, the first target image comprises an image of the target user when the target user takes the commodity, full-link monitoring of the shopping behaviors of the user is achieved, in-flight and post-event processing of the user behaviors by store operators can be assisted according to the stored image, and user member portrait construction of the store can be further carried out according to collected user behavior data such as the association relation and the like, so that the commodity is recommended to the user and service is provided.

Description

Method, device and system for monitoring user behaviors in shop and computer system
Technical Field
The invention relates to the field of monitoring, in particular to a method, a device and a system for monitoring user behaviors in a shop and a computer system.
Background
With the development of science and technology, more and more science and technology products participate in the operation of the traditional entity shop. In order to improve the user experience, the store needs to collect the consumption habits and consumption preferences of the user to ensure that the recommended commodities can meet the requirements of the customers. However, there is no corresponding device and method for collecting user consumption habits and preferences in the prior art. Therefore, a monitoring method for user behavior in a store is needed to help a physical store collect the consumption habits and preferences of users, so as to further recommend goods and provide services to users according to the collected consumption habits and preferences.
Disclosure of Invention
In order to solve the defects of the prior art, the invention mainly aims to provide a method, a device, a system and a computer system for monitoring the behavior of users in stores.
In order to achieve the above object, the present invention provides, in a first aspect, a method for monitoring behavior of users in a store, the method including:
identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code;
and uploading the first association relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity.
In some embodiments, the monitoring and identifying the behavior of the target user in the store by using a preset method includes:
calling a preset camera, and shooting and identifying the behavior of the target user in the shop in real time;
when the target user is identified to take the commodity, identifying the commodity code corresponding to the commodity, and generating the first association relation between the commodity code and the user code comprises the following steps:
and when the target user is shot to take the commodity, identifying the commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code.
In some embodiments, the monitoring and identifying the behavior of the target user in the store by using a preset method includes:
calling a preset sensor, monitoring whether the total weight of commodities on a preset shelf changes or not and determining the change amount of the total weight when the total weight changes;
when the target user is identified to take the commodity, identifying the commodity code corresponding to the commodity, and generating the first association relation between the commodity code and the user code comprises the following steps:
and when the change occurs, identifying the commodity code corresponding to the commodity according to the determined change amount and the image shot by the preset camera, and generating a first association relation between the commodity code and the user code.
In some embodiments, the method comprises:
when the target user is identified to put down the commodity, generating a second incidence relation between the commodity code and the user code;
and uploading the second incidence relation and a second target image to the preset server, wherein the second target image comprises an image of the target user when putting down the commodity.
In some embodiments, the method comprises:
collecting the store entering time and the store leaving time of the target user;
uploading the store-entering time and the store-leaving time to the preset server.
In some embodiments, the method comprises:
calling the preset camera to shoot the store-in image when the target user enters the store and the store-leaving image when the target user leaves the store;
and uploading the store-entering image and the store-leaving image to the preset server.
In a second aspect, the present application provides an apparatus for monitoring user behavior in a store, the apparatus comprising:
the identification module is used for identifying identity information of a target user entering a shop, and the identity information comprises a user code corresponding to the target user;
the monitoring module is used for monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
the processing module is used for identifying a commodity code corresponding to the commodity and generating a first association relation between the commodity code and the user code when the target user is identified to take the commodity;
and the uploading module is used for uploading the first association relation and the first target image to a preset server, wherein the first target image comprises an image of the target user when the commodity is taken.
In some embodiments, the monitoring module may be further configured to call a preset camera, and capture and identify the behavior of the target user in the store in real time; the processing module can be further used for identifying the commodity code corresponding to the commodity when the target user is shot to take the commodity, and generating a first association relation between the commodity code and the user code.
In a third aspect, the application provides a monitoring system for user behaviors in a shop, which is characterized by comprising a processing end, a preset camera and a preset sensor,
the processing terminal is used for identifying identity information of a target user entering a shop, and the identity information comprises a user code corresponding to the target user; calling a preset camera, and shooting and identifying the behavior of the target user in the shop in real time; calling a preset sensor, monitoring whether the total weight of commodities on a preset shelf changes or not and determining the change amount of the total weight when the total weight changes; when the commodity code is changed, identifying the commodity code corresponding to the commodity according to the determined change amount and the image shot by the preset camera, and generating a first association relation between the commodity code and the user code; uploading the first incidence relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity;
the preset camera is used for shooting and identifying the behavior of the target user in the shop in real time;
the preset sensor is used for monitoring whether the total weight of the commodities on the preset goods shelf changes or not and determining the change amount of the total weight when the total weight changes.
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:
identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code;
and uploading the first association relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity.
The invention has the following beneficial effects:
the application provides a monitoring method of user behaviors in a shop, which comprises the steps of identifying identity information of a target user entering the shop, wherein the identity information comprises a user code corresponding to the target user; monitoring and identifying the behavior of the target user in the shop by adopting a preset method; when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code; uploading the first association relation and the first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity, full-link monitoring of the shopping behavior of the user is achieved, in-situ and after-treatment can be carried out on the user behavior by store operators according to the stored image, and user member portrayal construction of the store can be further carried out according to collected user behavior data such as the association relation and the like, so that the commodity is recommended to the user and services are provided.
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 schematic diagram of an apparatus of an in-store user behavior monitoring system provided by an embodiment of the present application;
FIG. 2 is a block diagram of a computer system provided by an embodiment of the present application;
FIG. 3 is a flow chart of a method provided by an embodiment of the present application;
fig. 4 is a diagram illustrating a structure of an apparatus according to an 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, in order to solve the above problems, the present application provides a method for monitoring user behavior in a store. In order to realize monitoring of user behaviors in a shop, as shown in fig. 1, the application provides a monitoring system of user behaviors in a shop, which comprises a shop server, an intelligent shelf, an access control system and a security camera, wherein the shop server, the intelligent shelf, the access control system and the security camera are arranged in the shop in advance. The store server may interact with the cloud server to transmit video and user behavior data. The intelligent goods shelf is used for placing goods to be sold, the weighing sensor is preset on the intelligent goods shelf, and when the total weight of the goods on the intelligent goods shelf changes, the weighing sensor can identify and determine the variation of the total weight. The access control system comprises a code reader device, an infrared sensor, a depth camera and other devices, can scan a two-dimensional code of a user to read identity information of the user or extract a face image of the user according to an image of the depth camera, determines the identity information of the user according to the face image and identifies the behavior of the user for entering and exiting a store according to the infrared sensor. The security camera can shoot the condition in the store in real time and upload to the store server.
Specifically, the monitoring of the behavior of the user in the shop by using the system comprises the following steps:
step one, identifying the identity of a user entering a store;
the depth camera can shoot face data of a user, the code reader device can also scan a two-dimensional code of the user, then the face data and the two-dimensional code are uploaded to the store server, the store server identifies the identity of the user according to the face data or identifies the identity of the user according to the two-dimensional code, and the identity comprises an identity code corresponding to the user.
The store server may also generate a record of the user's entry into the store. The store entry record includes the store entry time of the user.
Secondly, monitoring and identifying the behavior of the user in real time by a security camera;
identifying a commodity code corresponding to the commodity when identifying that the user takes the commodity, and establishing a first association relation between the identity code of the user and the commodity code;
preferably, the security camera and the intelligent goods shelf can be used for identifying the behavior of the user for taking the goods.
The process that the security protection camera discernment user took the action of commodity includes:
identifying the action of the user for taking the commodity contained in the real-time monitoring image;
and identifying the commodity number corresponding to the taken commodity.
The process of identifying the behavior of the user for taking the commodity by the intelligent shelf comprises the following steps:
when the weighing sensor of the intelligent goods shelf identifies that the total weight of all the goods on the intelligent goods shelf changes, the intelligent sensor identifies the change quantity of the change of the total weight;
and identifying the commodity number corresponding to the commodity according to the image and the variable quantity of the taken commodity shot by the security camera.
The store server can intercept and identify the monitoring video or the screenshot of the monitoring video corresponding to the time period when the user takes the commodity from the camera for monitoring the commodity, and generate a first image record.
Step four, when the user puts down the commodity is identified, establishing a second incidence relation between the identity code of the user and the commodity code;
preferably, the process of identifying that the user has put down an item comprises:
identifying the action of putting down the commodity of the user contained in the real-time monitoring image;
and identifying the commodity number corresponding to the put-down commodity.
The store server can intercept and identify a monitoring video or a monitoring video screenshot corresponding to a time period when the user puts down the commodity from a camera for monitoring the commodity, and generate a second image record.
And step five, when the user is identified to leave the store, generating a record of the user leaving the store. The departure record includes the departure time of the user.
And step six, the store server uploads the full record from the store entrance to the store exit of the user to the cloud server.
The full record comprises the number of the store, the user number, the record of entering the store, the record of leaving the store, the first association relation and the second association relation.
The full record also comprises a first image record and a second image record.
The operator can review the behavior of the user in the shop according to the full record stored in the cloud server, and can extract corresponding user behavior data according to the behavior of the user so as to perform operations such as user membership portrait construction of the shop.
Example two
In correspondence to the above embodiment, as shown in fig. 3, the present application provides a method for monitoring user behavior in a store, the method including:
310. identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
320. monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
330. when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code;
preferably, the monitoring and identifying the behavior of the target user in the store by using a preset method includes:
331. calling a preset camera, and shooting and identifying the behavior of the target user in the shop in real time;
when the target user is identified to take the commodity, identifying the commodity code corresponding to the commodity, and generating the first association relation between the commodity code and the user code comprises the following steps:
332. and when the target user is shot to take the commodity, identifying the commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code.
Preferably, the monitoring and identifying the behavior of the target user in the store by using a preset method includes:
333. calling a preset sensor, monitoring whether the total weight of commodities on a preset shelf changes or not and determining the change amount of the total weight when the total weight changes;
when the target user is identified to take the commodity, identifying the commodity code corresponding to the commodity, and generating the first association relation between the commodity code and the user code comprises the following steps:
334. and when the change occurs, identifying the commodity code corresponding to the commodity according to the determined change amount and the image shot by the preset camera, and generating a first association relation between the commodity code and the user code.
340. And uploading the first association relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity.
Preferably, the method comprises:
350. when the target user is identified to put down the commodity, generating a second incidence relation between the commodity code and the user code;
351. and uploading the second incidence relation and a second target image to the preset server, wherein the second target image comprises an image of the target user when putting down the commodity.
Preferably, the method comprises:
360. collecting the store entering time and the store leaving time of the target user;
361. uploading the store-entering time and the store-leaving time to the preset server.
Preferably, the method comprises:
370. calling the preset camera to shoot the store-in image when the target user enters the store and the store-leaving image when the target user leaves the store;
371. and uploading the store-entering image and the store-leaving image to the preset server.
EXAMPLE III
In response to the above method, as shown in fig. 4, the present application provides an apparatus for monitoring user behavior in a store, the apparatus including:
the identification module 410 is used for identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
the monitoring module 420 is configured to monitor and identify behaviors of the target user in the shop by using a preset method;
the processing module 430 is configured to, when it is identified that the target user takes a commodity, identify a commodity code corresponding to the commodity, and generate a first association relationship between the commodity code and the user code;
the uploading module 440 is configured to upload the first association relationship and a first target image to a preset server, where the first target image includes an image of the target user when the target user takes the commodity.
Preferably, the monitoring module 420 may be further configured to call a preset camera, shoot and identify the behavior of the target user in the store in real time; the processing module 430 may further be configured to, when the target user is photographed and a commodity is taken, identify a commodity code corresponding to the commodity, and generate a first association relationship between the commodity code and the user code.
Preferably, the monitoring module 420 may be further configured to call a preset sensor, monitor whether the total weight of the commodity on the preset shelf changes and determine a change amount of the total weight when the total weight changes; the processing module 430 is further configured to, when a change occurs, identify a product code corresponding to the product according to the determined change amount and the image captured by the preset camera, and generate a first association relationship between the product code and the user code.
Preferably, the processing module 430 is further configured to generate a second association relationship between the item code and the user code when the target user is identified to drop the item; the uploading module 440 may further be configured to upload the second association relationship and a second target image to the preset server, where the second target image includes an image of the target user when the commodity is put down.
Preferably, the processing module 430 is further configured to collect the store-entering time and the store-leaving time of the target user; the upload module 440 may also be configured to upload the store-in time and the store-out time to the predetermined server.
Preferably, the processing module 430 is further configured to invoke the preset camera to capture an entering-store image when the target user enters a store and an leaving-store image when the target user leaves the store; the upload module 440 may also be configured to upload the in-store image and the out-of-store image to the preset server.
Example four
Corresponding to the above method, apparatus, and system, a fourth 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:
identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code;
and uploading the first association relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity.
Fig. 2 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. A method for monitoring user behavior in a store, the method comprising:
identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code;
and uploading the first association relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity.
2. The method as claimed in claim 1, wherein the monitoring and identifying the target user's behavior in the store using a preset method comprises:
calling a preset camera, and shooting and identifying the behavior of the target user in the shop in real time;
when the target user is identified to take the commodity, identifying the commodity code corresponding to the commodity, and generating the first association relation between the commodity code and the user code comprises the following steps:
and when the target user is shot to take the commodity, identifying the commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code.
3. The method as claimed in claim 2, wherein the monitoring and identifying the target user's behavior in the store using a preset method comprises:
calling a preset sensor, monitoring whether the total weight of commodities on a preset shelf changes or not and determining the change amount of the total weight when the total weight changes;
when the target user is identified to take the commodity, identifying the commodity code corresponding to the commodity, and generating the first association relation between the commodity code and the user code comprises the following steps:
and when the change occurs, identifying the commodity code corresponding to the commodity according to the determined change amount and the image shot by the preset camera, and generating a first association relation between the commodity code and the user code.
4. A method according to any of claims 1-3, characterized in that the method comprises:
when the target user is identified to put down the commodity, generating a second incidence relation between the commodity code and the user code;
and uploading the second incidence relation and a second target image to the preset server, wherein the second target image comprises an image of the target user when putting down the commodity.
5. A method according to any of claims 1-3, characterized in that the method comprises:
collecting the store entering time and the store leaving time of the target user;
uploading the store-entering time and the store-leaving time to the preset server.
6. A method according to any of claims 1-3, characterized in that the method comprises:
calling the preset camera to shoot the store-in image when the target user enters the store and the store-leaving image when the target user leaves the store;
and uploading the store-entering image and the store-leaving image to the preset server.
7. An apparatus for monitoring user behavior in a store, the apparatus comprising:
the identification module is used for identifying identity information of a target user entering a shop, and the identity information comprises a user code corresponding to the target user;
the monitoring module is used for monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
the processing module is used for identifying a commodity code corresponding to the commodity and generating a first association relation between the commodity code and the user code when the target user is identified to take the commodity;
and the uploading module is used for uploading the first association relation and the first target image to a preset server, wherein the first target image comprises an image of the target user when the commodity is taken.
8. The device of claim 7, wherein the monitoring module is further configured to invoke a preset camera to capture and identify the behavior of the target user in the store in real time; the processing module can be further used for identifying the commodity code corresponding to the commodity when the target user is shot to take the commodity, and generating a first association relation between the commodity code and the user code.
9. A monitoring system for user behaviors in shops is characterized by comprising a processing end, a preset camera and a preset sensor,
the processing terminal is used for identifying identity information of a target user entering a shop, and the identity information comprises a user code corresponding to the target user; calling a preset camera, and shooting and identifying the behavior of the target user in the shop in real time; calling a preset sensor, monitoring whether the total weight of commodities on a preset shelf changes or not and determining the change amount of the total weight when the total weight changes; when the commodity code is changed, identifying the commodity code corresponding to the commodity according to the determined change amount and the image shot by the preset camera, and generating a first association relation between the commodity code and the user code; uploading the first incidence relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity;
the preset camera is used for shooting and identifying the behavior of the target user in the shop in real time;
the preset sensor is used for monitoring whether the total weight of the commodities on the preset goods shelf changes or not and determining the change amount of the total weight when the total weight changes.
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:
identifying identity information of a target user entering a shop, wherein the identity information comprises a user code corresponding to the target user;
monitoring and identifying the behavior of the target user in the shop by adopting a preset method;
when the target user is identified to take the commodity, identifying a commodity code corresponding to the commodity, and generating a first association relation between the commodity code and the user code;
and uploading the first association relation and a first target image to a preset server, wherein the first target image comprises an image of the target user when the target user takes the commodity.
CN202010942975.1A 2020-09-09 2020-09-09 Method, device and system for monitoring user behaviors in shop and computer system Pending CN112215068A (en)

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