CN115170157A - Store auditing method, device, equipment and storage medium - Google Patents

Abstract

The embodiments of this specification disclose a store auditing method, device, device and storage medium. The method includes: acquiring audit requirements for a target store; determining, according to the audit requirements, a camera device in the target store corresponding to the type of store area to be audited; the type of the store area to be audited is determined according to the audit requirements The demand is determined; wherein, the type of store area corresponding to the camera device is determined by identifying the multimedia captured by the camera device; and the determined multimedia captured by the camera device is obtained for review. This method can review the multimedia shot in the store online for review, without the need to manually go to the offline store for review, reducing the review cost and improving the review efficiency.

Description

A store audit method, device, equipment and storage medium

technical field

The embodiments of this specification relate to the technical field of computer applications, and in particular, to a store auditing method, apparatus, device, and storage medium.

Background technique

At present, in the management of offline physical chain stores, it is often necessary to review the stores. Specifically, it can be to check whether the store has non-compliance in the business process, or it can be to check whether the store meets the business standards.

For example, for offline chain restaurants, it is necessary to review whether operations such as washing, cooking, and serving dishes are performed in accordance with hygienic standards during the business process.

Among the routine audit methods for stores, store inspection is one of the most effective methods. The traditional store inspection process often requires manual inspections of offline stores, which is inefficient and costly.

SUMMARY OF THE INVENTION

In order to solve the above problems, the embodiments of the present specification provide a store auditing method, apparatus, device, and storage medium. The technical solution is shown below.

A store audit method, including:

Obtain audit requirements for target stores;

According to the review requirement, determine the camera device in the target store corresponding to the type of store area to be reviewed; the type of the store area to be reviewed is determined according to the review requirement;

Wherein, the type of store area corresponding to the camera device is determined by identifying the multimedia captured by the camera device;

The multimedia captured by the determined camera device is acquired for review.

Optionally, identifying the multimedia captured by the camera device includes:

Identify the multimedia captured by the camera, and output the store area type corresponding to the camera.

Optionally, identifying the multimedia captured by the camera includes:

Inputting the multimedia captured by the camera into a preset model;

The preset model is used to predict the type of store area actually photographed according to the input multimedia.

Optionally, the preset model is pre-trained according to the multimedia sample and the corresponding store area type label; the store area type label represents the store area type actually photographed by the corresponding multimedia sample.

Optionally, the obtaining audit requirements for the target store, including:

Obtain one or more audit items as audit requirements from the preset audit item set; the NVR port number of the network video recorder corresponding to each audit item in the preset audit item set includes: the store that needs to be audited in the audit item NVR port number corresponding to the area type;

Described according to the described audit requirement, determine the camera device in the target store corresponding to the type of store area that needs to be audited, including:

Determine the NVR port number corresponding to the audit item included in the audit requirement;

According to the binding relationship between the preset NVR port number and the camera device in the target store, the camera device bound with the determined NVR port number in the target store is determined as the corresponding camera device in the target store that needs to be reviewed. Camera installations of the store area type;

Among them, in different stores, different camera devices corresponding to the same store area type have a binding relationship with the same NVR port number in their respective NVRs.

Optionally, the method for determining the binding relationship between the NVR port number and the camera device includes:

For a store where NVR is deployed, in the case of determining the store area type corresponding to the camera device in the store, according to the preset correspondence set between the NVR port number and the store area type, the NVR port number corresponding to the same store area type is set. Binding to the camera device.

Optionally, the obtaining of multimedia captured by the determined camera device includes:

From the NVR deployed in the target store, the multimedia captured by the determined camera device in the preset time period is acquired.

Optionally, the obtaining of the multimedia captured by the determined camera is used for auditing, including:

Acquire the multimedia captured by the determined camera device, and determine the store area type actually captured by the camera device according to the acquired multimedia;

When it is determined that the type of store area actually photographed by any camera device is different from the type of the corresponding store area, the store area type corresponding to the camera device is updated.

Optionally, the obtaining of the multimedia captured by the determined camera is used for auditing, including:

Acquire the multimedia captured by the determined camera device, and determine the store area type actually captured by the camera device according to the acquired multimedia;

If it is determined that the store area type actually photographed by any camera device is different from the corresponding store area type, update the store area type corresponding to the camera device, and update the NVR port number bound to the camera device to the new NVR port No;

The new NVR port number corresponds to the updated corresponding store area type of the camera device.

Optionally, the obtaining of the multimedia captured by the determined camera is used for auditing, including:

Obtain the preset name corresponding to the determined camera device for review;

Wherein, the preset name corresponding to the camera device is determined by the type of store area corresponding to the camera device;

In different stores, different camera devices corresponding to the same store area type are configured with the same preset name.

A store audit method, including:

Identify the multimedia captured by the camera device in the store, and determine the type of store area corresponding to the camera device;

Wherein, the set of correspondence between the camera device and the store area type is used to determine the camera device in the target store corresponding to the store area type that needs to be reviewed according to the audit requirements for the target store, so as to facilitate the multimedia shooting of the camera device. conduct an audit;

The type of store area to be reviewed is determined according to the review requirement.

A store auditing device, comprising:

The demand acquisition unit is used to obtain the audit demand for the target store;

a determining unit, configured to determine, according to the review requirement, a camera device in the target store corresponding to the type of store area that needs to be reviewed; the type of the store area to be reviewed is determined according to the review requirement; wherein, the camera device The corresponding store area type is determined by identifying the multimedia captured by the camera;

An auditing unit, configured to acquire the multimedia captured by the determined camera device for auditing.

Optionally, identifying the multimedia captured by the camera device includes:

Identify the multimedia captured by the camera, and output the store area type corresponding to the camera.

Optionally, identifying the multimedia captured by the camera includes:

Inputting the multimedia captured by the camera into a preset model;

The preset model is used to predict the type of store area actually photographed according to the input multimedia.

Optionally, the preset model is pre-trained according to the multimedia sample and the corresponding store area type label; the store area type label represents the store area type actually photographed by the corresponding multimedia sample.

Optionally, the requirement acquisition unit is used for:

Obtain one or more audit items as audit requirements from the preset audit item set; the NVR port number of the network video recorder corresponding to each audit item in the preset audit item set includes: the store that needs to be audited in the audit item NVR port number corresponding to the area type;

The determining unit is used for:

Determine the NVR port number corresponding to the audit item included in the audit requirement;

According to the binding relationship between the preset NVR port number and the camera device in the target store, the camera device bound with the determined NVR port number in the target store is determined as the corresponding camera device in the target store that needs to be reviewed. Camera installations of the store area type;

Among them, in different stores, different camera devices corresponding to the same store area type have a binding relationship with the same NVR port number in their respective NVRs.

Optionally, the method for determining the binding relationship between the NVR port number and the camera device includes:

For a store where NVR is deployed, in the case of determining the store area type corresponding to the camera device in the store, according to the preset correspondence set between the NVR port number and the store area type, the NVR port number corresponding to the same store area type is set. Binding to the camera device.

Optionally, the audit unit is used for:

From the NVR deployed in the target store, the multimedia captured by the determined camera device in the preset time period is acquired.

Optionally, the audit unit is used for:

Acquire the multimedia captured by the determined camera device, and determine the store area type actually captured by the camera device according to the acquired multimedia;

When it is determined that the type of store area actually photographed by any camera device is different from the type of the corresponding store area, the store area type corresponding to the camera device is updated.

Optionally, the audit unit is used for:

Acquire the multimedia captured by the determined camera device, and determine the store area type actually captured by the camera device according to the acquired multimedia;

If it is determined that the store area type actually photographed by any camera device is different from the corresponding store area type, update the store area type corresponding to the camera device, and update the NVR port number bound to the camera device to the new NVR port No;

The new NVR port number corresponds to the updated corresponding store area type of the camera device.

Optionally, the audit unit is used for:

Obtain the preset name corresponding to the determined camera device for review;

Wherein, the preset name corresponding to the camera device is determined by the type of store area corresponding to the camera device;

In different stores, different camera devices corresponding to the same store area type are configured with the same preset name.

In the above technical solution, the review is conducted by online viewing of the multimedia captured in the store, and there is no need to manually go to the offline store for review, thereby reducing the cost of review and improving the efficiency of review.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the following briefly introduces the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some of the embodiments described in the embodiments of the present specification. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

Fig. 1 is the schematic flow chart of a kind of store auditing method that the embodiment of this specification provides;

Fig. 2 is the schematic flow chart of a kind of store auditing method based on store standard provided by the embodiment of this specification;

Fig. 3 is the schematic diagram of a kind of store audit interface provided by the embodiment of this specification;

4 is a schematic structural diagram of a store auditing device provided by an embodiment of this specification;

FIG. 5 is a schematic structural diagram of a device for configuring a method according to an embodiment of the present specification.

Detailed ways

In order for those skilled in the art to better understand the technical solutions in the embodiments of the present specification, the technical solutions in the embodiments of the present specification will be described in detail below with reference to the accompanying drawings in the embodiments of the present specification. Obviously, the described implementation Examples are only some of the embodiments of the present specification, but not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art should fall within the scope of the disclosure.

At present, in the management of offline physical chain stores, it is often necessary to review the stores. Specifically, it can be to check whether the store has non-compliance in the business process, or it can be to check whether the store meets the business standards.

For example, for offline chain restaurants, it is necessary to review whether operations such as washing, cooking, and serving dishes are performed in accordance with hygienic standards during the business process.

Among the routine audit methods for stores, store inspection is one of the most effective methods. The traditional store inspection process often requires manual inspections of offline stores, which is inefficient and costly.

In order to reduce the audit cost and improve the audit efficiency, the embodiment of this specification provides a store audit method.

In this method, a camera device installed in an offline store can be used to remotely view the multimedia captured by the camera device for review, thereby realizing store review, that is, online inspection of the store.

Wherein, the multimedia captured by the camera device may include at least one of the following: video, image and audio.

The audit may specifically be to check whether the business process of the store complies with the hygiene standards or the prescribed operation process by checking the multimedia captured by the camera device in the store.

For example, review the videos shot in the store to review the hygiene standards; review the images captured in the store to review the arrival of employees; review the audio recorded in the store to review the etiquette of receiving customers.

In this method, the online review of the multimedia captured in the store is conducted. On the one hand, there is no need to manually go to the offline store for review, which saves review costs, such as labor costs and transportation costs; on the other hand, the review by viewing the multimedia can be convenient View playback and currently shot multimedia, such as video playback, you can review by dragging the video progress bar or viewing at double speed, which can improve review efficiency and improve review accuracy.

When conducting a specific store audit, it is usually necessary to audit all or part of the store area, and sometimes it is not necessary to audit the entire area of the store, only some areas need to be audited.

For example, for offline restaurants, it can be divided into kitchen area type, dining area area type, entrance and exit area type, etc., and can also be divided into vegetable washing area type, cooking area type, ordering area type, etc. in more detail. In the specific audit, the audit can focus on the type of vegetable washing area and the type of cooking area.

For another example, for offline supermarkets, it can be divided into snack area types, daily necessities area types, and fresh food area types. In the specific audit, the audit may focus on the type of fresh food area.

Therefore, when conducting specific store audits, the types of store areas that need to be audited can be determined according to the audit requirements.

For example, for the type of entrance and exit area of an offline restaurant, you can check whether the waiter greets customers politely. For the type of kitchen area of an offline restaurant, you can check whether the cooking process of the chef meets the hygiene standards.

In this method, a camera device can be deployed for different area types of the store to photograph each store area type, so as to facilitate the determination of the camera device for the type of area that needs to be reviewed during the review, and improve the review efficiency.

Of course, it is also possible to determine the type of the store area to be photographed for the camera device in the store, and it is also convenient to determine the type of camera device that needs to be audited during the audit, so as to improve the audit efficiency.

For example, the audit requirement can be to verify whether the type of kitchen area in a restaurant meets the sanitation standards. According to the audit requirement, the “kitchen area type” to be audited can be determined, and then the “kitchen area” that needs to be audited can be determined from the stores that need to be audited. Type" camera device, view the multimedia captured by the camera device for review. There is no need to check each camera device in the store one by one, which improves the audit efficiency.

Therefore, in this method, in the case of determining the type of store area photographed by the camera device in the store, the camera device to be viewed can be determined directly according to the type of store area that needs to be reviewed according to the audit requirements, without the need for the camera in the store. Search in the device one by one, which improves the auditing efficiency.

The specific determination of the type of store area captured by the camera device in the store can be determined manually. In order to save costs and improve the efficiency of determining the type of store area, the model training method can also be used, and the deep learning model can be used to automatically determine the type of store area captured by the camera device.

The store auditing method provided in the embodiments of this specification can replace manual offline store tours by viewing multimedia captured in stores online, thereby improving auditing efficiency and reducing auditing costs. It is also possible to improve the audit efficiency by determining the type of camera device in the store area that needs to be reviewed for shooting in the store, without having to search for the camera devices in the store one by one. It is also possible to automatically determine the type of store area photographed by the camera device through the deep learning model, without manual determination, which improves the audit efficiency and reduces the audit cost.

The following describes a store auditing method provided by the embodiments of the present specification in detail with reference to the accompanying drawings.

As shown in FIG. 1 , it is a schematic flowchart of a store auditing method provided by an embodiment of the present specification.

The embodiments of the present specification do not limit a specific execution body. Optionally, the execution body of the method process may be a server or an audit client. This method flow can be applied to the server, and can also be applied to the audit client.

For example, through the audit client, the auditor obtains the multimedia captured by the camera device in the store according to the audit requirements for audit.

For example, the server receives the audit requirements sent by the auditors, obtains the multimedia that needs to be audited according to the audit requirements, and sends them to the auditors for auditing.

The method flow may include the following steps.

S101: Obtain audit requirements for the target store.

S102: According to the acquired auditing requirements, determine the camera device in the target store corresponding to the type of store area that needs to be audited.

Wherein, the type of store area to be reviewed may be determined according to the review requirements; the type of store area corresponding to the camera device may be determined by identifying the multimedia captured by the camera device.

S103: Acquire the multimedia captured by the determined camera device for review.

The flow of the method does not limit the specific result of identifying multimedia.

Optionally, with regard to identifying the multimedia captured by the camera, the content in the multimedia can be identified to determine the corresponding store area type, or the store area type photographed by the multimedia can be directly identified.

For example, an object in an image can be identified and then determined based on the type of store area to which the object belongs. Keywords in the audio can also be identified, and then determined according to the type of store area to which the keyword belongs.

Therefore, optionally, identifying the multimedia captured by the camera may include: identifying the multimedia captured by the camera, and outputting the store area type corresponding to the camera.

The flow of this method does not limit the specific identification method. It can be manual identification, identification through preset rules, or identification through machine learning.

Therefore, optionally, identifying the multimedia captured by the camera may include: inputting the multimedia captured by the camera into a preset model; wherein, the preset model may be used to predict the actually captured store area for the input multimedia type.

Regarding the store area type corresponding to the camera device, it should be noted that when the store area type photographed by the camera device is determined in a certain way, the determined store area type may be inaccurate.

For example, due to human negligence in determining the wrong type of store area, or because the accuracy rate is low or the input image is blurred, the deep learning model may output the wrong type of store area; and the type of store area actually captured by the camera may change. For example, by changing the position of the camera, or changing the orientation of the camera, the type of store area actually photographed by the camera can be changed.

Therefore, in order to facilitate the distinction between the type of store area currently photographed by the camera device and the type of store area currently photographed by the camera device determined in some way, in the flow of this method, the determined type of store area currently photographed by the camera device is described as Indicates the store area type corresponding to the camera device.

The flow of this method does not limit the structure and training method of the specific preset model. Optionally, the preset model can be a deep learning network or a convolutional network.

Optionally, the preset model may be pre-trained according to the multimedia sample and the corresponding store area type label; the store area type label may represent the store area type actually photographed by the corresponding multimedia sample.

The above method and process can replace the manual offline inspection of the store by viewing the multimedia shot in the store online, improve the audit efficiency and reduce the audit cost. It is also possible to improve the audit efficiency by determining the camera devices in the store corresponding to the type of store area to be audited, without having to search for the camera devices in the store one by one.

It is also possible to automatically determine the type of store area corresponding to the camera device by identifying the multimedia captured by the camera device, without manual determination, thereby improving the audit efficiency and reducing the audit cost.

In addition, since the store area type is determined based on the multimedia captured by the camera device, the corresponding store area type can be determined automatically and conveniently for the historically deployed camera device, without the need to modify the historically deployed camera device to help maintain historical deployment The type of store area corresponding to the camera device.

For the newly deployed camera devices in the store, the corresponding store area type can also be quickly and automatically determined based on the same identification method, improving the audit efficiency.

Each step is explained in detail below.

1. For ease of understanding, the following first explains operations that can be performed in advance in the above method flow.

It should be noted that several operations performed in advance may be performed by the execution body of the method process, or may be performed by other devices other than the execution body of the method process, which are not limited in the embodiments of this specification.

In an optional embodiment, the store area type corresponding to the camera device in the store may be predetermined.

Optionally, in order to facilitate the subsequent determination of the camera device of the store area type that needs to be reviewed for shooting, the store area type corresponding to the camera device in the store may be pre-determined. Specifically, it may be to determine the store area type corresponding to one or more camera devices in several stores.

The embodiments of the present specification do not limit the manner and execution subject of determining the store area type corresponding to the camera device.

Regarding the execution subject for determining the store area type, optionally, the execution subject of the method process may predetermine the store area type corresponding to the in-store camera device, for example, the server or audit client pre-determines the store corresponding to the in-store camera device. Region type.

Optionally, other equipment can also predetermine the store area type corresponding to the camera device in the store, for example, the store area type corresponding to the camera device itself in advance, or a network video recorder (Network Video Recorder, NVR) can be deployed in the store. In the case of storing the multimedia captured by the camera, the store area type corresponding to the camera is determined.

Regarding the way of determining the store area type, optionally, the store area type corresponding to the camera device may be manually determined. Specifically, the multimedia captured by the camera device may be manually viewed, so that the type of store area captured by the camera device is determined as the type of store area corresponding to the camera device. Alternatively, when configuring a camera device for a store, manually configure a corresponding type of store area for the camera device.

Optionally, the type of store area may be determined by the machine automatically recognizing the multimedia captured by the camera device. Specifically, it can identify the multimedia captured by the camera, and output the store area type corresponding to the camera. Specifically, content in multimedia can be identified. For example, keywords in audio, objects in videos, logos in images, etc.

Optionally, the type of store area can be determined through model prediction. Predetermining the store area type corresponding to the camera device in the store may include: inputting multimedia captured by the camera device into a preset model, and outputting the store area type corresponding to the camera device.

Optionally, the multimedia may include at least one of the following: images, video and audio. The image may specifically include a video frame, that is, a video screenshot.

Wherein, optionally, the preset model may be pre-trained according to the multimedia sample and the corresponding store area type label; the store area type label may represent the store area type actually photographed by the corresponding multimedia sample.

Optionally, the multimedia samples may specifically include at least one of the following: image samples, video frame samples, video samples, audio samples, and the like.

Multimedia samples, for example, audio in the kitchen area, corresponding to the kitchen area type label; video in the dining area, corresponding to the dining area type label, etc.

Optionally, corresponding to different kinds of multimedia, different preset models can be used for prediction. For example, a preset model for audio prediction corresponding to the type of store area, a preset model for video prediction corresponding to the store area type, and a preset model for image prediction corresponding to the store area type can be pre-trained.

Optionally, the store area type corresponding to one or more camera devices in one or more stores can be predetermined, the store area type corresponding to one or more camera devices in all stores can also be predetermined, or all departments can be predetermined. Store area type corresponding to all camera devices in the store.

Optionally, the multimedia captured by the camera device can be input into the preset model. This embodiment does not limit the quantity, type and shooting time of the multimedia input preset model.

Optionally, one or more multimedia captured by a single camera device may be input into a preset model for prediction, and the prediction accuracy can be improved by inputting more multimedia.

Optionally, different types of multimedia captured by a single camera device can be input into corresponding preset models for prediction respectively, and by inputting more types of multimedia, prediction can be made from multiple angles to improve the prediction accuracy.

Optionally, the multimedia currently shot by a single camera device, or the multimedia shot within a preset time period before the current moment, can be input into a preset model for prediction, and the current shooting situation of the camera device can be characterized by the shooting time being closer to the current moment, Improve forecast accuracy.

In an alternative embodiment, the camera device generally needs to have the ability to communicate out. For example, when determining the type of store area corresponding to the camera device, the camera device may be required to send the captured multimedia to the external device where the preset model is located for prediction and to determine the corresponding store area type; For review, the camera device may also be required to send the captured multimedia to an external device for review.

Optionally, the camera device may have a network communication capability, and may send data to the outside through the network, specifically, may send multimedia to the outside through the network. The camera device may specifically include a web camera.

Optionally, the camera device can send data to the outside through the NVR in the store where it is located.

Among them, the NVR in the store can establish a connection with the camera device in the store, which can be a wired connection or a network connection, so that it can communicate with the camera device in the store. Specifically, the NVR can be used to store and forward multimedia captured by cameras in a store, and specifically, store and forward images, videos and/or audios captured by cameras in a store.

Optionally, since the video itself may include audio and images, that is, video frames or video screenshots, the NVR may acquire images, videos and/or audios captured by the camera according to the video captured by the camera, for determining The corresponding store area type or for sending out for review.

Therefore, optionally, network video recorders (NVRs) may be deployed in several stores in advance, and the NVRs may establish connections with camera devices in the stores.

Optionally, the NVR may have several NVR ports for interacting with external devices, specifically, for receiving multimedia sent by the camera device in the store where it is located.

Among them, different NVRs may have the same NVR port number. For example, different NVRs may all have NVR port numbers 1-8.

Optionally, in order to facilitate the reception of data sent by different camera devices in the store, it can be set up in the NVR that different camera devices correspond to different NVR ports one by one, and the camera device can send the captured multimedia data to the NVR through the unique corresponding NVR port. .

In this embodiment, multimedia data sent by different camera devices can be received in parallel through several NVR ports, thereby improving the efficiency of the NVR.

Optionally, in order to conveniently unify the corresponding relationship between the NVR port number and the camera device, the corresponding relationship between the NVR port number and the store area type may be preset. The correspondence between NVR port numbers and store area types can be used as a standard.

For example, NVR port number 1 corresponds to the kitchen area type, and NVR port number 2 corresponds to the dining area type.

Then, the NVR port number corresponding to the same store area type can be bound to the camera device to establish a corresponding relationship.

Therefore, in different stores, different camera devices corresponding to the same store area type can have a binding relationship with the same NVR port number in their respective NVRs.

In this embodiment, by binding the NVR port number corresponding to the same store area type with the camera device, the subsequent search for the camera device can be facilitated.

Optionally, for any store, when determining the camera device corresponding to the store area type that needs to be reviewed, the NVR port number corresponding to the store area type that needs to be reviewed can be directly determined, and then the camera corresponding to the NVR port number can be determined. device. Since the corresponding relationship between the NVR port number of each store and the type of store area is the same, there is no need to search for the camera devices in the store one by one, which improves the audit efficiency.

To sum up, optionally, network video recorder NVRs can be deployed in several stores in advance; the corresponding relationship between NVR port numbers and store area types can be pre-configured.

Optionally, for a store where NVR is deployed, when the store area type corresponding to the camera device in the store is determined, the NVR port number corresponding to the same store area type can be bound to the camera device.

Among them, in different stores, different camera devices corresponding to the same store area type may have a binding relationship with the same NVR port number in their respective NVRs.

In this embodiment, by binding the NVR port number and the camera device, the subsequent search and determination of the camera device can be facilitated, and there is no need to search for the camera devices in the store one by one, thereby improving the audit efficiency.

In an optional embodiment, since the type of store area corresponding to the camera device has been determined, and the camera device corresponding to the type of store area that needs to be reviewed needs to be determined in S102, the determined camera device and the store area can be stored in advance. The correspondence between the types is convenient for subsequent S102 to search and determine from the correspondence between the camera device and the store area type.

This embodiment does not limit the storage method and device.

Optionally, the determined correspondence between the camera device and the store area type may be directly stored in the corresponding store in a distributed manner. Specifically, preset devices may be deployed for several stores, and the preset devices may be used to store the correspondence between the camera devices in the store and the store area type. Through this distributed storage, storage costs can be saved, and corresponding relationships can be easily updated.

Optionally, the preset device may include an NVR device.

In this embodiment, the specific determination of the camera device may be to send a request to a preset device in the target store to find a camera device corresponding to the type of store area that needs to be reviewed.

Optionally, the correspondence between each in-store camera device and the store area type may also be comprehensively stored. Specifically, the server can comprehensively store the correspondence between multiple in-store camera devices and store area types, so that it is convenient to search directly from the server.

In an optional embodiment, in order to facilitate the confirmation of audit requirements, the audit requirements can be atomized, and several optional fixed audit items are preset, so that the currently required audit items can be easily selected from the audit item set as the audit items. need.

Optionally, it may be selected automatically by a machine, or selected based on a manual operation.

Optionally, a preset set of audit items can be pre-deployed.

Audit items include, for example, reviewing hygiene standards for the type of kitchen area, reviewing the employee code of conduct for the entire store, reviewing employee presence for the type of fresh food area, and reviewing whether tables, trash cans, and seats are clean and tidy for dining areas.

Optionally, each audit item may correspond to one or more store area types that need to be audited.

Optionally, according to the type of store area that needs to be reviewed for the review item, the camera device in the store and the review item can be directly bound, so that it is convenient to directly determine the bound camera device according to the review item.

Optionally, in order to improve search efficiency and reduce storage costs, NVRs deployed in stores can also be used for binding.

Because between different stores, different NVRs have the same NVR port number, and in the above embodiment, the NVR port number can be bound to the camera device.

Therefore, the NVR port number and audit item can be directly bound, instead of binding different cameras in different stores with the same audit item, but can directly bind the NVR port number and audit item corresponding to the same store area type.

Then, when determining the camera device, the camera device corresponding to the NVR port number can be directly determined in the target store according to the NVR port number bound to the audit item.

To sum up, optionally, a preset set of audit items can be pre-deployed, and according to each audit item in the set of preset audit items, determine the type of store area to be audited that needs to be audited, and assign the store area to be audited. The NVR port number corresponding to the type is determined as the NVR port number corresponding to the audit item.

Wherein, optionally, a single audit item may correspond to one or more store area types to be audited, and therefore, a single audit item may correspond to one or more NVR port numbers.

In this embodiment, by binding the NVR port number and the optional audit item, the camera device can be easily and quickly determined, and the audit efficiency is improved.

2. S101: Obtain the audit requirements for the target store.

1) Target store.

This embodiment does not limit the number and determination method of the target stores.

Optionally, the target store may include one or more stores that need to be reviewed.

Optionally, the target store can be automatically selected by the machine, which can be selected randomly or periodically reviewed for each store. The target store can also be selected by manual operation. For example, the reviewer may select a store in a certain area for review, or the reviewer may select a recently complained store for review.

2) Review requirements.

This embodiment does not limit the form and acquisition method of the audit requirement.

Optionally, the audit requirement may be an overall requirement, which includes several types of store areas that need to be audited. For example, the audit requirement may specifically be auditing the type of dining area and the type of kitchen area in the restaurant.

Optionally, the audit requirement may include several audit items, which may be specifically selected from a set of pre-deployed preset audit items.

Therefore, optionally, acquiring the auditing requirements for the target store may include: acquiring one or more auditing items from the preset auditing item set as the auditing requirements.

The NVR port number of the network video recorder corresponding to each audit item in the preset audit item set may include: the NVR port number corresponding to the type of store area to be audited in the audit item.

Specifically, it may be to obtain one or more audit items selected by manual operation, or it may be automatically selected and acquired by a machine, for example, random selection, selection of corresponding audit items according to customer complaints, selection according to audit intervals, and so on.

Optionally, the audit requirements may be determined and acquired based on manual operations. For example, in the case where the execution subject of the method process is the audit client, the audit client may obtain the selected audit item based on manual operation and determine it as the audit requirement.

Optionally, it may be to receive an audit request sent by an external device. For example, in the case where the execution body of the method process is the server, the server can receive the audit requirement sent by the auditor through the client.

3. S102: According to the obtained audit requirements, determine the camera device in the target store corresponding to the type of store area that needs to be audited.

Wherein, the type of store area to be reviewed may be determined according to the review requirements; the type of store area corresponding to the camera device may be determined by identifying the multimedia captured by the camera device.

This embodiment does not limit the method for determining the camera device corresponding to the type of store area that needs to be reviewed.

Optionally, the camera device corresponding to the type of store area to be reviewed may be determined based on the correspondence between the camera device in the target store and the store area type.

Optionally, the type of store area that needs to be reviewed can be determined first according to the obtained review requirements, and then the camera device in the target store corresponding to the type of store area to be reviewed can be determined.

Optionally, when the audit requirements include audit items in the preset audit item set, and there is a corresponding relationship between the audit items and the NVR port number, according to the acquired audit requirements, determine the corresponding items in the target store that need to be audited. The camera device of the store area type may include: determining the NVR port number corresponding to the audit item included in the audit requirement; The camera device with the determined NVR port number is determined as the camera device in the target store corresponding to the type of store area that needs to be reviewed.

Among them, in different stores, different camera devices corresponding to the same store area type may have a binding relationship with the same NVR port number in their respective NVRs.

In this embodiment, the corresponding relationship between the NVR port number and the audit item can be used to conveniently and quickly determine the camera device in the target store corresponding to the type of store area that needs to be audited, thereby improving the audit efficiency.

For example, the execution body of the process of this method may send a request to the NVR of the target store, and the request may carry the determined NVR port number, thereby determining the camera device corresponding to the NVR port number.

Optionally, the method for determining the binding relationship between the NVR port number and the camera device may include: for a store where the NVR is deployed, in the case of determining the store area type corresponding to the camera device in the store, according to the preset NVR port. The set of correspondence between the number and the store area type, and the NVR port number corresponding to the same store area type is bound to the camera device.

4. S103: Acquire the multimedia captured by the determined camera device for review.

This embodiment does not limit a specific manner of acquiring multimedia.

Optionally, it can be obtained directly from the determined camera device, or it can be obtained from a preset device deployed in the store for storing multimedia captured by the camera device, or it can be obtained from the NVR device deployed in the store, or it can be obtained in the store. When the server pre-stores the multimedia captured by the camera devices in each store, it is obtained from the server.

Wherein, a single NVR port in the NVR may uniquely correspond to one camera device, and receive multimedia captured by the corresponding camera device for storage. Therefore, the NVR can correspond to different NVR port numbers, and store the multimedia captured by each camera respectively, so that the multimedia captured by the corresponding camera can be directly searched according to the NVR port number, which improves the efficiency of search and review.

This embodiment does not limit the acquired multimedia content.

Optionally, multimedia captured by the determined camera device within a preset time period may be acquired.

Optionally, the preset time period may be a manually designated time period. For example, a reviewer needs to view a video shot in a store on a certain day of the year.

Optionally, the preset time period may be a preset time period before the current moment. For example, reviewers can view images or videos taken within 10 minutes of the current moment.

Optionally, it may also be to acquire the multimedia currently shot by the determined camera device. For example, reviewers can view the video stream captured by the current camera.

Therefore, optionally, acquiring the multimedia shot by the determined camera device may include: acquiring the multimedia shot by the determined camera device in a preset time period from the NVR deployed in the target store. This embodiment does not limit a specific preset time period.

Specifically, since one NVR port in the NVR may correspond to one camera device, a request may be sent to the NVR deployed in the target store, and the request may carry the NVR port number corresponding to the audit item in the audit requirement, so that the NVR device can The NVR port number in the request directly determines the corresponding camera device to improve the audit efficiency.

This embodiment does not limit a specific auditing manner.

Optionally, the multimedia can be manually viewed for review. Auditing by machine identification is also possible.

For example, the image captured by the camera device is acquired, image recognition is performed, the number of employees is identified, and face recognition is performed to automatically review the employee's arrival status.

Optionally, the specific review may include reviewing the store area type corresponding to the camera device.

Due to the type of store area corresponding to the predetermined camera device, there may be errors due to various reasons, for example, the location of the camera device is changed, or the prediction of the preset model is wrong.

Therefore, it is possible to first determine the type of store area actually photographed by the camera, and then check whether the type of the store area currently photographed by the camera is the same as the type of the store area currently corresponding to the camera. If they are the same, you can do nothing; if they are not the same, you can directly replace the determined store area type currently photographed by the camera device with the store area type currently corresponding to the camera device, or you can re-determine the camera device for insurance. The corresponding store area type.

Wherein, in the case of re-determining the store area type corresponding to the camera device, the NVR port number corresponding to the camera device may be updated.

Therefore, optionally, acquiring the determined multimedia captured by the camera device for review may include: acquiring the determined multimedia captured by the camera device, and determining the type of store area actually captured by the camera device according to the acquired multimedia; When the type of store area actually photographed by a camera device is different from the type of the corresponding store area, the store area type corresponding to the camera device can be updated.

This embodiment does not limit the specific method for updating the corresponding store area type.

Optionally, prediction can be made based on a preset model again, wherein the currently corresponding store area type can be excluded. It is also possible to directly update the determined store area type actually photographed by the camera device to the store area type corresponding to the camera device.

This embodiment also does not limit the method of specifically determining the type of store area actually photographed by the camera device according to the acquired multimedia.

Optionally, it can be determined by manual inspection, or it can be determined automatically in other ways. For example, it is determined by methods such as preset models or image recognition.

It should be noted that since the location or orientation of the camera device may be changed, the pre-determined type of store area may be inaccurate. During the audit, the same determination method can be used to determine the current type of store area.

In this embodiment, by reviewing the store area type corresponding to the camera device, the accuracy rate of the store area type can be improved, and the next review can also be facilitated, thereby improving the review efficiency.

Optionally, since the camera device can be bound to the NVR port number of the store where it is located, and the specific binding is based on the same corresponding store area type, during the review process, if the store area type corresponding to the camera device is updated, then The NVR port number corresponding to the camera device can also be updated accordingly.

Therefore, optionally, acquiring the determined multimedia shot by the camera device for review may include: acquiring the determined multimedia shot by the camera device, and determining the type of store area actually shot by the camera device according to the acquired multimedia; When the type of store area actually photographed by a camera device is different from that of the corresponding store area, the store area type corresponding to the camera device can be updated, and the NVR port number bound to the camera device can be updated to the new NVR port number ; The new NVR port number may correspond to the updated corresponding store area type of the camera device.

The specific explanation can be found above.

In addition, optionally, it can also be determined that the multimedia captured by any camera device does not match the corresponding store area type, so as to determine that the store area type actually captured by the camera device is different from the corresponding store area type. There is no need to determine the type of store area actually photographed by the camera device according to the acquired multimedia.

This embodiment does not limit the specific method, and the mismatch may be determined manually, or a number of features corresponding to the store area type may be compared with the actually photographed multimedia.

In an optional embodiment, different camera devices often correspond to complex serial numbers, which are inconvenient for manual viewing. Therefore, the corresponding name can be determined based on the store area type corresponding to the camera device, so as to facilitate manual viewing.

For example, when reviewing a certain camera device, the reviewer can display the name "kitchen", so that they can easily understand the type of store area currently being viewed. However, if it is a series of serial numbers, the auditors cannot determine the type of store area.

Therefore, optionally, the correspondence between store area types and preset names may be preconfigured.

Optionally, when the store area type corresponding to the camera device in the store is predetermined, the corresponding preset name can be configured for the corresponding camera device according to the store area type; wherein, in different stores, corresponding to the same store area type. Different cameras can be configured with the same preset name.

This embodiment does not limit the form of the specific preset name, which may be a name related to the type of store area. For example, the preset name corresponding to the type of kitchen area can be "kitchen".

In this embodiment, the name of the camera device can be automatically configured to improve user experience and improve the accuracy of the name of the camera device.

Optionally, during the specific review, the preset name corresponding to the determined camera device may be displayed, which is convenient for the user to view and improves the user experience.

Optionally, acquiring the multimedia captured by the determined camera device for review may include: acquiring a preset name corresponding to the determined camera device for review; wherein, the preset name corresponding to the camera device is obtained through the camera device. The corresponding store area type is determined; in different stores, different camera devices corresponding to the same store area type are configured with the same preset name.

Regarding the type of store area, it should be noted that, optionally, the camera device in the store may not be able to capture the full picture of the store area type due to various reasons.

For example, for a dining area with a large area, it is often inconvenient for a camera to determine the whole picture. Therefore, the store area type can be further subdivided, which can be subdivided into dining area types 1-N, where N≥2.

If a single camera device can capture the whole picture of the dining area in a single store, it can be determined as the dining area type 1. If in a single store, multiple cameras are required to capture the entire view of the dining area, so that the corresponding camera devices are determined in advance. When there are N camera devices corresponding to the type of the dining area, it can be determined as the dining area types 1-N one by one in sequence.

For ease of understanding, the embodiment of this specification also provides a specific application embodiment.

In order to realize the standardization of the store and the unified form of the store to facilitate management, a set of store standards can be designed as a whole. For example, the type of store area included in the store, and the arrangement of cameras.

Among them, NVR can be deployed for each store to facilitate unified management of camera devices.

The store area type corresponding to each camera device in the store may also be predetermined. Specifically, a deep learning model can be used to predict the multimedia captured by the camera device, for example, to predict the video frame captured by the camera device to determine the corresponding store area type.

It should be noted that if store standardization has been implemented, when decorating a new store, the camera device can be deployed directly according to the standard, and the corresponding store area type can be manually determined.

For example, when decorating a new restaurant, a camera device can be deployed directly in the dining area, and the corresponding store area type can be configured as the dining area type.

For stores that have been renovated before store standardization, the corresponding store area type can be determined by using deep learning models or manual labor for the deployed camera devices.

Among them, the use of deep learning models can improve the efficiency of determining the type of corresponding store area, and facilitate the maintenance of camera devices in historical stores.

In addition, the standard of the correspondence relationship between the NVR port number and the store area type can also be preset.

By implementing this correspondence standard, it is possible to unify the store area types corresponding to the NVR port numbers on different NVRs between different stores, so as to facilitate subsequent searches directly based on the NVR port numbers.

Based on this correspondence standard, NVR port numbers and camera devices corresponding to the same store area type can be bound for each store.

Further, the standards of the audit items can be preset, so as to facilitate the unified operation of the auditors.

Specifically, a preset set of audit items can be set in advance. The audit items are fixed, and it is convenient to select the audit items that need to be audited, and the auditors will conduct corresponding audits for the multimedia captured in the store.

For example, the audit item may be an audit of hygiene standards for the kitchen area.

Since the audit item usually specifies one or more store area types to be audited, the audit item can be bound to the NVR port number in advance to form a new standard.

Specifically, the audit item may be bound to the NVR port number corresponding to the type of store area to be audited.

For example, if the type of kitchen area corresponds to NVR port number 1, you can bind the audit item "sanitary standards of the kitchen area" to NVR port number 1, so that it is convenient to directly determine the corresponding NVR port number according to the audit item, and then directly target the NVR port number. The store determines the camera device corresponding to the NVR port number to improve the audit efficiency.

Among them, the corresponding relationship between audit items and NVR port numbers can be used as store standards.

When the auditors conduct the audit, the target store can be manually selected, and the audit items to be audited are automatically configured by the machine.

Specifically, it may be selected by the machine based on a preset policy from a set of preset audit items, for example, random selection, or selection based on customer complaints.

Of course, an audit item may also be manually selected from the preset audit item set for auditing.

For the audit items that need to be audited, the corresponding NVR port number can be further determined, and sent to the NVR of the target store to determine the corresponding camera device.

Further, the NVR can establish a connection with the client of the auditor, the auditor can select the multimedia content to be viewed, and the NVR can return the corresponding multimedia content from the storage.

For example, the reviewer sends a request to the NVR to obtain the video of the type of kitchen area today through manual operation, and the NVR can respond to the request and return the video captured by the camera device corresponding to the type of kitchen area today, which is convenient for reviewers to view the video. review.

Among them, the reviewers can also further review whether the acquired multimedia content conforms to the corresponding store area type.

Specifically, reviewers can obtain corresponding multimedia content by clicking on the names or labels of different store area types.

If the auditor determines that the acquired multimedia content is not the content of the corresponding store area type, for example, the auditor checks the acquired video of the kitchen area type and finds that the video is actually shot of the dining area type, then the auditor can Give feedback. Specifically, it can be that the type of store area corresponding to the feedback is wrong.

In response to this feedback, the store area type corresponding to the camera device with the wrong store area type can be automatically updated, and then the corresponding NVR port number can be updated.

The embodiment of the present specification also provides another store auditing method.

Which can include the following steps.

Identify the multimedia captured by the camera device in the store, and determine the store area type corresponding to the camera device.

The set of correspondence between the camera device and the store area type is used to determine the camera device in the target store corresponding to the type of store area that needs to be reviewed according to the review requirements for the target store, so as to facilitate the review of the multimedia captured by the camera device. ; The type of store area that needs to be reviewed is determined according to the review requirements.

The method flow does not limit the execution subject. The execution body can be the server or the backend.

In a specific example, the process of this method may be performed by the background terminal, and the above-mentioned method processes S101-S103 may be performed by the audit client. The backend can automatically perform steps such as multimedia identification and determination of the type of store area corresponding to the camera device in advance, which is convenient for subsequent auditing. efficiency and reduce audit costs.

Optionally, network video recorders (NVRs) may also be deployed in several stores.

Optionally, the corresponding relationship between the NVR port number and the store area type can be pre-configured; for a store where NVR is deployed, when the store area type corresponding to the camera device in the store is determined, the NVR port corresponding to the same store area type is determined. The number is bound to the camera device.

Among them, in different stores, different camera devices corresponding to the same store area type may have a binding relationship with the same NVR port number in their respective NVRs.

Optionally, a preset audit item set can be deployed, according to each audit item in the preset audit item set, determine the type of store area to be audited to be audited, and determine the NVR port number corresponding to the type of store area to be audited as the The NVR port number corresponding to the audit item.

Optionally, the correspondence between store area types and preset names can be configured. In the case where the store area type corresponding to the camera device in the store is pre-determined, the corresponding preset name is configured for the corresponding camera device according to the store area type; wherein, in different stores, different camera devices corresponding to the same store area type can be Configured with the same preset name.

The specific explanation can be found above.

For ease of understanding, as shown in FIG. 2 , a schematic flowchart of a store review method based on store standards provided in the embodiment of this specification.

Which can include the following steps.

S201: Configure the correspondence between the NVR port number and the store area type.

S202: Determine the corresponding store area type for the camera device.

S203: Bind the NVR port number of the same store area type to the camera device.

S204: Bind each audit item to the NVR port number corresponding to the type of store area that needs to be audited for the audit item.

S205: Obtain the selected audit item, and determine the corresponding NVR port number.

S206: Acquire the multimedia captured by the camera device corresponding to the determined NVR port number.

S207: Check whether the type of store area photographed by the camera device is the same as the type of store area corresponding to the camera device according to the multimedia. If they are the same, execute S208; if they are different, execute S209.

S208: Continue with other audit tasks.

S209: Feed back the wrong store area type corresponding to the camera device, and feed back the store area type actually corresponding to the camera device.

For ease of understanding, as shown in FIG. 3 , a schematic diagram of a store review interface provided by an embodiment of the present specification is provided.

It may include a multimedia display area 301 , a store area type display component 302 , an audit item display component 303 , and a multimedia operation component 304 .

Among them, the multimedia display area 301 can be used to display the multimedia currently captured by the camera device determined according to the audit item.

The store area type display component 302 can display the store area type corresponding to the currently selected audit item, for example, a kitchen area, a dining area, a cashier, and the like. A single audit item can correspond to multiple store area types.

The audit item display component 303 may include several selectable audit items to facilitate manual operation to determine the audit results of each audit item.

The multimedia operation component 304 may include operations such as dragging and dropping a video progress bar, changing multimedia forms, and enlarging images.

Corresponding to the foregoing method embodiments, the embodiments of this specification further provide corresponding apparatus embodiments.

As shown in FIG. 4 , it is a schematic structural diagram of a store auditing device provided by an embodiment of the present specification.

The apparatus may include the following units.

The demand obtaining unit 401 is used to obtain the audit demand for the target store.

The determining unit 402 is used to determine, according to the auditing requirements, the camera device in the target store corresponding to the type of the store area that needs to be audited; the type of the store area that needs to be audited is determined according to the auditing requirement; wherein, the type of the store area corresponding to the camera device is Determined by identifying the multimedia captured by the camera.

The review unit 403 is configured to acquire the determined multimedia captured by the camera device for review.

Optionally, identifying the multimedia captured by the camera includes: identifying the multimedia captured by the camera, and outputting a store area type corresponding to the camera.

Optionally, identifying the multimedia captured by the camera includes: inputting the multimedia captured by the camera into a preset model; the preset model is used to predict the type of store area actually captured for the input multimedia.

Optionally, the preset model is pre-trained according to the multimedia sample and the corresponding store area type label; the store area type label represents the store area type actually photographed by the corresponding multimedia sample.

Optionally, the requirement obtaining unit 401 is configured to: obtain one or more audit items from the preset audit item set as audit requirements; the network video recorder NVR port number corresponding to each audit item in the preset audit item set Including: the NVR port number corresponding to the type of store area that needs to be reviewed in this review item;

The determining unit 402 is used to: determine the NVR port number corresponding to the audit item included in the audit requirement; according to the binding relationship between the preset NVR port number and the camera device in the target store, bind the determined NVR port number in the target store The camera device is determined as the camera device in the target store corresponding to the type of store area that needs to be reviewed; wherein, in different stores, different camera devices corresponding to the same store area type are bound to the same NVR port number in their respective NVRs relation.

Optionally, the method for determining the binding relationship between the NVR port number and the camera device includes: for a store where the NVR is deployed, in the case of determining the store area type corresponding to the camera device in the store, according to the preset NVR port number. A set of correspondences with store area types, binding the NVR port number corresponding to the same store area type with the camera device.

Optionally, the auditing unit 403 is configured to: acquire, from the NVR deployed in the target store, the multimedia captured by the determined camera device in the preset time period.

Optionally, the auditing unit 403 is used to: obtain the multimedia captured by the determined camera device, and determine the type of store area actually captured by the camera device according to the obtained multimedia; when determining the type of the store area actually captured by any camera device and If the corresponding store area types are different, update the store area type corresponding to the camera device.

Optionally, the auditing unit 403 is used to: obtain the multimedia captured by the determined camera device, and determine the type of store area actually captured by the camera device according to the obtained multimedia; when determining the type of the store area actually captured by any camera device and When the corresponding store area types are different, update the store area type corresponding to the camera device, and update the NVR port number bound to the camera device to the new NVR port number; the new NVR port number corresponds to the updated camera device. Corresponding store area type.

Optionally, the review unit 403 is configured to: obtain the preset name corresponding to the determined camera device for review; wherein, the preset name corresponding to the camera device is determined by the store area type corresponding to the camera device; different In a store, different camera devices corresponding to the same store area type are configured with the same preset name.

For the specific explanation of the foregoing apparatus embodiments, reference may be made to the foregoing method embodiments.

Embodiments of this specification further provide an electronic device, including: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions, so as to implement any of the foregoing methods example.

The embodiments of the present specification further provide a computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device can implement any of the foregoing method embodiments.

Embodiments of the present specification also provide a computer device, which at least includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements a store auditing method when executing the program.

FIG. 5 shows a more specific schematic diagram of the hardware structure of a computer device provided by an embodiment of this specification. The device may include: a processor 1010 , a memory 1020 , an input/output interface 1030 , a communication interface 1040 and a bus 1050 . The processor 1010 , the memory 1020 , the input/output interface 1030 and the communication interface 1040 realize the communication connection among each other within the device through the bus 1050 .

The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit, central processing unit), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute related program to implement the technical solutions provided by the embodiments of this specification.

The memory 1020 may be implemented in the form of a ROM (Read Only Memory, read only memory), a RAM (Random Access Memory, random access memory), a static storage device, a dynamic storage device, and the like. The memory 1020 may store an operating system and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 1020 and invoked by the processor 1010 for execution.

The input/output interface 1030 is used to connect the input/output module to realize information input and output. The input/output/module can be configured in the device as a component (not shown in the figure), or can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, and the like.

The communication interface 1040 is used to connect a communication module (not shown in the figure), so as to realize the communication interaction between the device and other devices. The communication module may implement communication through wired means (eg, USB, network cable, etc.), or may implement communication through wireless means (eg, mobile network, WIFI, Bluetooth, etc.).

Bus 1050 includes a path to transfer information between the various components of the device (eg, processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).

It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include necessary components for normal operation. other components. In addition, those skilled in the art can understand that, the above-mentioned device may only include components necessary to implement the solutions of the embodiments of the present specification, instead of all the components shown in the figures.

Embodiments of the present specification further provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements a store auditing method.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Flash Memory or other memory technology, Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridges, magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

From the description of the above embodiments, those skilled in the art can clearly understand that the embodiments of the present specification can be implemented by means of software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the embodiments of this specification or the parts that make contributions to the prior art may be embodied in the form of software products, and the computer software products may be stored in storage media, such as ROM/RAM, A magnetic disk, an optical disk, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments in this specification.

The systems, devices, modules or units described in the above embodiments may be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementing device is a computer, which may be in the form of a personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media player, navigation device, email sending and receiving device, game control desktop, tablet, wearable device, or a combination of any of these devices.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for related parts. The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated. When implementing the solutions of the embodiments of the present specification, the functions of each module may be integrated into the same module. or multiple software and/or hardware implementations. Some or all of the modules may also be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

The above are only specific implementations of the embodiments of the present specification. It should be pointed out that for those skilled in the art, without departing from the principles of the embodiments of the present specification, several improvements and modifications can be made. These Improvements and modifications should also be considered protection of the embodiments of this specification.

Claims (14)

1. a store auditing method, is characterized in that, comprises: Obtain audit requirements for target stores; According to the review requirement, determine the camera device in the target store corresponding to the type of store area to be reviewed; the type of the store area to be reviewed is determined according to the review requirement; Wherein, the type of store area corresponding to the camera device is determined by identifying the multimedia captured by the camera device; The multimedia captured by the determined camera device is acquired for review. 2. The method according to claim 1, wherein the identifying the multimedia captured by the camera comprises: Identify the multimedia captured by the camera, and output the store area type corresponding to the camera. 3. The method according to claim 2, wherein identifying the multimedia captured by the camera comprises: Inputting the multimedia captured by the camera into a preset model; The preset model is used to predict the type of store area actually photographed according to the input multimedia. 4. method according to claim 3, is characterized in that, described preset model is obtained in advance according to multimedia sample and corresponding store area type label training; Described store area type label characterizes corresponding multimedia sample actually photographed Store area type. 5. method according to claim 1, is characterized in that, described acquisition is aimed at the audit requirement of target store, comprises: Obtain one or more audit items as audit requirements from the preset audit item set; the NVR port number of the network video recorder corresponding to each audit item in the preset audit item set includes: the store that needs to be audited in the audit item NVR port number corresponding to the area type; Described according to the described audit requirement, determine the camera device in the target store corresponding to the type of store area that needs to be audited, including: Determine the NVR port number corresponding to the audit item included in the audit requirement; According to the binding relationship between the preset NVR port number and the camera device in the target store, the camera device bound with the determined NVR port number in the target store is determined as the corresponding camera device in the target store that needs to be reviewed. Camera installations of the store area type; Among them, in different stores, different camera devices corresponding to the same store area type have a binding relationship with the same NVR port number in their respective NVRs. 6. The method according to claim 5, wherein the method for determining the binding relationship between the NVR port number and the camera device comprises: For a store where NVR is deployed, in the case of determining the store area type corresponding to the camera device in the store, according to the preset correspondence set between the NVR port number and the store area type, the NVR port number corresponding to the same store area type is set. Binding to the camera device. 7. The method according to claim 6, wherein the acquiring the multimedia captured by the determined camera device comprises: From the NVR deployed in the target store, the multimedia captured by the determined camera device in the preset time period is acquired. 8. The method according to claim 1, wherein the acquiring the multimedia captured by the determined camera device is used for auditing, comprising: Acquire the multimedia captured by the determined camera device, and determine the store area type actually captured by the camera device according to the acquired multimedia; When it is determined that the type of store area actually photographed by any camera device is different from the type of the corresponding store area, the store area type corresponding to the camera device is updated. 9. The method according to claim 5, wherein the obtaining the multimedia captured by the determined camera device is used for auditing, comprising: Acquire the multimedia captured by the determined camera device, and determine the store area type actually captured by the camera device according to the acquired multimedia; If it is determined that the store area type actually photographed by any camera device is different from the corresponding store area type, update the store area type corresponding to the camera device, and update the NVR port number bound to the camera device to the new NVR port No; The new NVR port number corresponds to the updated corresponding store area type of the camera device. 10. The method according to claim 1, wherein the acquiring the determined multimedia captured by the camera device for auditing comprises: Obtain the preset name corresponding to the determined camera device for review; Wherein, the preset name corresponding to the camera device is determined by the type of store area corresponding to the camera device; In different stores, different camera devices corresponding to the same store area type are configured with the same preset name. 11. A store auditing method, characterized in that, comprising: Identify the multimedia captured by the camera device in the store, and determine the type of store area corresponding to the camera device; Wherein, the set of correspondence between the camera device and the store area type is used to determine the camera device in the target store corresponding to the store area type that needs to be reviewed according to the audit requirements for the target store, so as to facilitate the multimedia shooting of the camera device. conduct an audit; The type of store area to be reviewed is determined according to the review requirement. 12. A store auditing device, characterized in that, comprising: The demand acquisition unit is used to obtain the audit demand for the target store; a determining unit, configured to determine, according to the review requirement, a camera device in the target store corresponding to the type of store area that needs to be reviewed; the type of the store area to be reviewed is determined according to the review requirement; wherein, the camera device The corresponding store area type is determined by identifying the multimedia captured by the camera; An auditing unit, configured to acquire the multimedia captured by the determined camera device for auditing. 13. An electronic device, characterized in that, comprising: processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of any of claims 1-11. 14. A computer-readable storage medium, characterized in that, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to implement the method described in any one of claims 1 to 11. method described.

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