CN112613358B - Article identification method, article identification device, storage medium and electronic device - Google Patents
Article identification method, article identification device, storage medium and electronic device Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for identifying an article, a storage medium and an electronic device, wherein the method comprises the following steps: the method comprises the steps of acquiring a first article image acquired by an image acquisition device after shooting a target area, determining image difference information between the first article image and a second article image, and sending the image difference information to a server under the condition that the image difference information does not reach a preset condition, so that the server identifies an article which is changed between the first article image and the second article image according to the image difference information, and therefore the technical problem that identification efficiency of the article to be identified in an identification process is low in the related art can be solved, and the technical effects of improving the identification efficiency of the article, reducing the identification cost of the article and increasing the application range of an article identification algorithm are achieved.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to an article identification method, an article identification device, a storage medium and an electronic device.
Background
The current new retail item datamation mode: and taking a picture by a special edge camera, uploading the picture to an artificial intelligent platform through a mobile communication network to perform article identification so as to finish the datamation of article information, wherein the clear requirement of the article to take the picture is more than 720P.
The articles of retail enterprises are generally distributed in various shops, supermarkets, schools and markets, so that wired or wireless network environments cannot be guaranteed, the edge deployment gateway mostly needs to transmit data back through a mobile communication network to guarantee availability and reliability, and therefore a large amount of communication traffic is consumed for uploading the display photos of the articles to be identified.
In order to control the flow rate, a method of controlling the reporting frequency is mostly adopted to save the flow rate, for example, uploading is carried out in hours or days, and the uploading frequency of the photographed images directly determines the accuracy of the statistical information of the articles, so that a large amount of flow rate cost is generated or a lot of useful data is lost in the practical application scene.
Aiming at the technical problem that the identification efficiency of the object to be identified in the identification process is low in the related technology, no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for identifying an article, a storage medium and an electronic device, which are used for at least solving the technical problem that the identification efficiency of the article to be identified in the identification process is low in the related technology.
According to an embodiment of the present invention, there is provided an identification method of an article, including: acquiring a first object image acquired by an image acquisition device after shooting a target area; determining image difference information between the first object image and a second object image, wherein the second object image is a pre-shot image; and sending the image difference information to a server to enable the server to identify the changed object between the first object image and the second object image according to the image difference information when the image difference information does not reach the preset condition.
According to another embodiment of the present invention, there is provided an article identification apparatus including: the acquisition module is used for acquiring a first object image acquired by the image acquisition equipment after shooting the target area; the determining module is used for determining image difference information between the first article image and a second article image, wherein the second article image is a pre-shot image; and the sending module is used for sending the image difference information to a server when the image difference information does not reach a preset condition, so that the server can identify the changed object between the first object image and the second object image according to the image difference information.
According to a further embodiment of the present invention, there is also provided a computer readable storage medium having a computer program stored therein, wherein the computer program when executed by a processor implements the steps of any of the method embodiments described above.
According to yet another embodiment of the present invention, there is also provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the method embodiments described above when executing the computer program.
According to the invention, the first article image acquired by the image acquisition device after shooting the target area is acquired, the image difference information between the first article image and the second article image is determined, and the image difference information is sent to the server under the condition that the image difference information does not reach the preset condition, so that the server identifies the changed article between the first article image and the second article image according to the image difference information, and therefore, the technical problem that the identification efficiency of the article to be identified in the identification process is lower in the related art can be solved, and the technical effects of improving the identification efficiency of the article, reducing the identification cost of the article and increasing the application range of an article identification algorithm are achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a block diagram of a hardware architecture of a mobile terminal for an alternative method of article identification according to an embodiment of the present invention;
FIG. 2 is a flow chart of an alternative method of identifying an item according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of another alternative method of identifying an item according to an embodiment of the present invention;
FIG. 4 is a schematic illustration of yet another alternative method of identifying an item according to an embodiment of the present invention;
fig. 5 is a block diagram of an alternative article identification device according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of the mobile terminal according to an embodiment of the present application. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a method for identifying an article in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, implement the method described above. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as a NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, a method for identifying an article operating on a mobile terminal, a computer terminal or a similar computing device is provided, and fig. 2 is a schematic flow chart of an alternative method for identifying an article according to an embodiment of the present invention, as shown in fig. 2, the flow chart includes the following steps:
S202, acquiring a first object image acquired by an image acquisition device after shooting a target area;
S204, determining image difference information between a first object image and a second object image, wherein the second object image is a pre-shot image;
s206, when the image difference information does not reach the preset condition, the image difference information is sent to the server, so that the server identifies the changed object between the first object image and the second object image according to the image difference information.
Alternatively, in the present embodiment, the execution subject of the above steps may be a server, a terminal, a manner of combining the server and the terminal, or the like, but is not limited thereto.
Fig. 3 is a schematic diagram of an alternative method for identifying an article according to an embodiment of the present invention, taking an edge gateway as an example of an execution body of the method for identifying an article, and the method for identifying an article is further explained with reference to fig. 3:
s302, acquiring a first object image acquired by an image acquisition device 304 after shooting a target area by an edge gateway 302;
s304, the edge gateway 302 determines image difference information between a first object image and a second object image, wherein the second object image is a pre-shot image;
S306, when the image difference information does not reach the preset condition, edge gateway 302 sends the image difference information to server 306, so that server 306 identifies the changed object between the first object image and the second object image according to the image difference information.
Among other things, an artificial intelligence commodity identification system for performing the above-described method of identifying an item may include, but is not limited to, an edge gateway 302, a cloud platform (server 306), a client application 308, and a maintenance tool application 310.
The edge gateway 302 may include, but is not limited to, a plurality of interfaces configured to provide power to a plurality of cameras 312 (image capture devices) coupled thereto, and may also be configured to communicate data with the cameras 312, for example, by sending control management and picture data capture messages to the cameras 312 via the edge gateway 302.
The edge gateway 302 may further include, but is not limited to, a communication module configured to interact data with the camera 312, the cloud platform 306, the client application 308, and the maintenance tool 310 via a network, which may include, but is not limited to: a wired network, a wireless network, wherein the wired network comprises: local area networks, metropolitan area networks, and wide area networks, the wireless network comprising: bluetooth, WIFI, other networks for realizing wireless communication and the like to access to the cloud platform, and data reporting and remote control are realized.
The edge gateway 302 may further include, but is not limited to, an artificial intelligence computing module, configured to perform artificial intelligence recognition on the first object image captured by the target area through the image capturing device, locate all object positions in the photo, and extract key object information, where the object information includes, but is not limited to, position information (starting coordinates, width, and height in the photo), and an object photo.
The edge gateway 302 may also include, but is not limited to, an external antenna provided with a communication module;
The edge gateway 302 may also include, but is not limited to, an indicator light to indicate an operating state of the edge gateway 302, where the operating state includes, but is not limited to, a connected state, an operating state, and an engineering mode, and the flashing state indicates a packet receiving and sending state when receiving and sending a packet.
The edge gateway 302 may also include, but is not limited to, a reset button configured to control the edge gateway 302 to enter an engineering mode, and to enable bluetooth local maintenance services for software communication with the maintenance tool application 310.
Alternatively, in the present embodiment, the image capturing device may include, but is not limited to, a camera, a scanner, an unmanned plane, or the like for capturing a photograph of an article.
The image capturing device may include, but is not limited to, a USB connection for accessing edge gateway 302 for power and data communications.
The image capture device described above may include, but is not limited to, a camera sensor provided for capturing object display photographs or video data.
The image capturing apparatus described above may include, but is not limited to, being provided with a protective device for preventing fogging and blurring of the lens, the protective device including, but not limited to, a heating coil, an antifogging coating, and the like.
The image capturing device may include, but is not limited to, a fisheye lens for capturing a wide angle photograph.
Optionally, in this embodiment, the cloud platform 306 is a central platform of the edge gateway 302, and is also a service platform for performing the method for identifying objects, for gateway access, data acquisition, data storage, data analysis, service presentation, and so on.
Optionally, in this embodiment, the client application software 308 is a client application of the article identification service, and is used to access data of article identification and service statistics information, including web client application software and mobile client application software.
Optionally, in this embodiment, the maintenance tool application 310 supports local management and maintenance of the edge gateway 302 through bluetooth, including parameter configuration, firmware upgrade, and other functions.
Alternatively, in this embodiment, the target area may include, but is not limited to, a target area that can be acquired by the image acquisition apparatus, and may also include, but is not limited to, a target area that is preconfigured by a worker, and the like.
Optionally, in this embodiment, the first item image is an item image acquired by the image acquisition device this time, the second item image is a pre-stored item image, and the second item image may include, but is not limited to, an image acquired by the image acquisition device for a previous round, so as to be stored in an associated database.
Alternatively, in the present embodiment, the above-described articles may include, but are not limited to, identifiable articles such as goods, merchandise, containers, and the like.
Alternatively, in this embodiment, the image difference information may include, but is not limited to, extracting a feature vector for representing image information by a feature extraction algorithm, obtaining a difference vector after comparing the feature vector corresponding to the first article image and the feature vector corresponding to the second article image to determine the image difference information, and determining a difference in pixel value of each position in the first article image and the second article image, and determining the difference in pixel value to determine the image difference information. The above is merely an example, and the present embodiment is not limited in any way.
According to the method and the device for identifying the object, the first object image acquired by the image acquisition device after the object area is shot is adopted, the image difference information between the first object image and the second object image is determined, and the image difference information is sent to the server under the condition that the image difference information does not reach the preset condition, so that the server identifies the changed object between the first object image and the second object image according to the image difference information, and therefore the technical problem that identification efficiency of the object to be identified in the identification process is low in the related art can be solved, and the technical effects of improving the identification efficiency of the object, reducing the identification cost of the object and increasing the application range of an object identification algorithm are achieved.
As an alternative, determining the image difference information between the first article image information and the second article image information includes: dividing the first object image according to a preset dividing mode to obtain a preset number of first sub-images; comparing each first sub-image with a second sub-image of a corresponding area included in the second object image, determining a first sub-image which is different from the second sub-image of the corresponding area, and determining the first sub-image which is different from the second sub-image of the corresponding area as a target sub-image; the image difference information is determined based on the target sub-image.
Alternatively, in this embodiment, the predetermined dividing manner may include, but is not limited to, equally dividing the first article image into a plurality of areas, and may include, but is not limited to, dividing the first article image into a plurality of areas equal to the number of articles according to the number of identified articles, where the predetermined number may be preconfigured by the system or the server, or may be determined according to the number of identified articles.
Alternatively, in this embodiment, the method may include, but is not limited to, dividing the second article image in the same manner as the first article image to obtain a second sub-image of the included corresponding region, and further determining the image difference information by comparing the first sub-image and the second sub-image.
Alternatively, in the present embodiment, the above-described image difference information may include, but is not limited to, the position, color, function, shape, and the like of the article.
According to the method and the device for identifying the object, the first object image acquired by the image acquisition device after the object area is shot is adopted, the image difference information between the first object image and the second object image is determined, and the image difference information is sent to the server under the condition that the image difference information does not reach the preset condition, so that the server identifies the changed object between the first object image and the second object image according to the image difference information, and therefore the technical problem that identification efficiency of the object to be identified in the identification process is low in the related art can be solved, and the technical effects of improving the identification efficiency of the object, reducing the identification cost of the object and increasing the application range of an object identification algorithm are achieved.
As an alternative, the dividing the first object image according to a predetermined dividing manner to obtain a predetermined number of first sub-images includes: identifying the first article image, and acquiring the number of articles contained in the first article image and the area corresponding to each article; and dividing the first article image based on the area corresponding to each article contained in the first article image so as to obtain first sub-images with the same number as the articles.
Alternatively, in this embodiment, the number of articles included in the first article image may be determined by including, but not limited to, an identification algorithm, and the area corresponding to each article may include, but not limited to, determining location information of the acquired article, for example, by acquiring a start coordinate, a width, a height, etc. of each article in the first article image, where each article lock corresponds.
Alternatively, in the present embodiment, the number of the first sub-images may be the same as the number of the articles, in other words, after the first article images are identified, the first article images may be divided into a form in which each of the first sub-images includes one article.
According to the embodiment, the first article image is identified, and the number of articles contained in the first article image and the area corresponding to each article are obtained; the first article image is segmented based on the area corresponding to each article contained in the first article image, so that first sub-images with the same number as the articles are obtained, and the technical problem that the identification efficiency of the articles to be identified in the identification process is low in the related art can be solved, and the technical effects of improving the identification efficiency of the articles, reducing the identification cost of the articles and increasing the application range of an article identification algorithm are achieved.
As an alternative, comparing each of the first sub-images with the second sub-image of the corresponding region included in the second article image, determining a first sub-image having a difference from the second sub-image of the corresponding region, and determining the first sub-image having a difference from the second sub-image of the corresponding region as a target sub-image, including: comparing the area corresponding to each first sub-image with the second sub-image of the corresponding area included in the second object image, determining that the changed first sub-image is the target sub-image, and determining the number of the target sub-images; and determining the ratio of the number of the target sub-images to the number of the first sub-images as the image difference information.
Alternatively, in this embodiment, the determining that the first sub-image is the target sub-image may include, but is not limited to, comparing the first sub-image with the second sub-image, where the characteristic information of the recorded article changes, or where the position of the article changes, etc.
Alternatively, in the present embodiment, the changed first sub-image is determined as the target sub-image, and the ratio between the target sub-image and the number of first sub-images is determined as the above-described image difference information.
Through the embodiment, comparing the area corresponding to each first sub-image with the second sub-image of the corresponding area included in the second object image, determining the changed first sub-image as the target sub-image, and determining the number of the target sub-images; the ratio of the number of the target sub-images to the number of the first sub-images is determined as image difference information, and the image difference information is sent to the server under the condition that the image difference information does not reach the preset condition, so that the server identifies the changed object between the first object image and the second object image according to the image difference information, and therefore the technical problem that the identification efficiency of the object to be identified in the identification process is low in the related technology can be solved, and the technical effects of improving the identification efficiency of the object, reducing the identification cost of the object and increasing the application range of the object identification algorithm are achieved.
As an alternative, the dividing the first object image according to a predetermined dividing manner to obtain a predetermined number of first sub-images includes: identifying the first object image and acquiring a plurality of preset areas contained in the first object image; and dividing the first object image based on the preset areas to obtain a plurality of first sub-images corresponding to the preset areas.
Alternatively, in the present embodiment, the first article image may be divided into a plurality of preset areas in a predetermined division manner to obtain a plurality of first sub-images corresponding to the number of the plurality of preset areas.
Through the embodiment, a plurality of preset areas contained in a first object image are acquired by identifying the first object image; the first article image is segmented based on the preset areas to obtain a plurality of first sub-images corresponding to the preset areas, so that the server identifies the changed article between the first article image and the second article image according to the image difference information, and therefore the technical problem that the identification efficiency of the article to be identified in the related technology is low in the identification process can be solved, and the technical effects of improving the identification efficiency of the article, reducing the identification cost of the article and increasing the application range of an article identification algorithm are achieved.
As an alternative, comparing each of the first sub-images with the second sub-image of the corresponding region included in the second article image, determining a first sub-image having a difference from the second sub-image of the corresponding region, and determining the first sub-image having a difference from the second sub-image of the corresponding region as a target sub-image, including: comparing each preset area with a plurality of preset areas included in the second object image, determining the changed preset areas as the target sub-images, and determining the number of the target sub-images; and determining the ratio of the number of the target sub-images to the number of the first sub-images as the image difference information.
Alternatively, in this embodiment, the determining that the preset area where the change occurs is the target sub-image may include, but is not limited to, comparing the preset area of the first sub-image with the preset area of the second sub-image, where the feature information of the recorded article changes, or the position of the article changes, etc.
Alternatively, in the present embodiment, the changed first sub-image is determined as the target sub-image, and the ratio between the target sub-image and the number of first sub-images is determined as the above-described image difference information.
Through the embodiment, each preset area is compared with a plurality of preset areas included in the second object image, the changed preset areas are determined to be target sub-images, and the number of the target sub-images is determined; the ratio of the number of the target sub-images to the number of the first sub-images is determined as the image difference information, so that the server identifies the changed object between the first object image and the second object image according to the image difference information, and therefore, the technical problem that the identification efficiency of the object to be identified in the identification process is low in the related technology can be solved, and the technical effects of improving the identification efficiency of the object, reducing the identification cost of the object and increasing the application range of an object identification algorithm are achieved.
As an alternative, after determining the image difference information between the first article image and the second article image, the method further comprises: and sending the first article image to the server under the condition that the image difference information reaches the preset condition, so that the server identifies the article which is changed between the first article image and the pre-received second article image.
Alternatively, in this embodiment, the preset condition may be determined according to a statistical manner including, but not limited to, image difference information, for example, in a case where the image difference information is a ratio of the number of target sub-images to the number of first sub-images, the preset condition is configured as a ratio threshold, and when the image difference information is greater than or equal to the ratio threshold corresponding to the preset condition, the first item image is sent to the server, so that the server identifies the first item image.
In other words, when the image difference information exceeds the threshold value corresponding to the preset condition, the first article image is completely sent to the server, so that the server re-recognizes the first article image, and a corresponding recognition result is obtained.
As an alternative, determining the image difference information between the first article image and the second article image includes: determining first image information of the first item image; comparing the first image information with predetermined second image information of the second object image to determine the image difference information; after determining the image difference information between the first item image and the second item image, the method further comprises: and sending the first image information to a server under the condition that the image difference information reaches the preset condition, so that the server identifies the changed object between the first object image and the second object image according to the first image information and the predetermined second image information.
Alternatively, in this embodiment, the preset condition may be determined according to a statistical manner including, but not limited to, image difference information, for example, in a case where the image difference information is a ratio of the number of target sub-images to the number of first sub-images, the preset condition is configured as a ratio threshold, and when the image difference information is smaller than the ratio threshold corresponding to the preset condition, the first image information is sent to the server, so that the server identifies the first article image.
When the image difference information does not exceed the threshold value corresponding to the preset condition, the image information which is obtained by the first article image recognition and only contains the change area is sent to the server, so that the server obtains a corresponding recognition result based on the image information of the change area.
According to the method and the device, the first image information is sent to the server under the condition that the image difference information reaches the preset condition, so that the server can identify the changed object between the first object image and the second object image according to the first image information and the predetermined second image information, and therefore the technical problem that the identification efficiency of the object to be identified in the identification process is low in the related art can be solved, and the technical effects of improving the identification efficiency of the object, reducing the identification cost of the object and increasing the application range of the object identification algorithm are achieved.
As an alternative, before determining the image difference information between the first article image and the second article image, the method further includes: acquiring the second object image acquired by the image acquisition device after shooting the target area; and sending the second object image to the server.
Alternatively, in this embodiment, the second object image may include, but is not limited to, an object image that is sent to the server after the recognition result reaches the preset condition in the last recognition process, and may also include, but is not limited to, a second object image that is obtained after the image capturing device captures the target area and stored in the pre-configured database.
Through the embodiment, a second object image obtained after the image acquisition device shoots the target area is adopted; the second object image is sent to the server, so that the target area can be monitored, the technical problem that the identification efficiency of the object to be identified in the related technology is low in the identification process is solved, and the technical effects of improving the identification efficiency of the object, reducing the identification cost of the object and increasing the application range of an object identification algorithm are achieved.
As an alternative, after acquiring the first object image acquired by the image acquisition device after capturing the target area, the method further includes: determining a storage time of the second object image; and transmitting the first object image to the server under the condition that the storage time exceeds a preset time length.
Alternatively, in this embodiment, the storage time of the second object image may include, but is not limited to, a time length stored in the database, and may also include, but is not limited to, a storage time generated by comparing a time stamp recorded after the second object image is acquired with a system time.
As an alternative, after the difference information is sent to the server if the difference information does not reach the preset condition, the method further includes: the server identifies the image difference information to determine an object with a change between the first object image and the second object image; the server determines information of an item included in the first item image based on information of an item changed between the first item image and the second item image, and information of an item included in the second item image.
Alternatively, in this embodiment, the server may include, but is not limited to, determining the name or type of the stored item in the target area based on the information of the item changed between the first item image and the second item image.
Alternatively, in the present embodiment, after the server determines the information of the item included in the first item image based on the information of the item changed between the first item image and the second item image and the information of the item included in the second item image, it may include, but is not limited to, performing saving, analyzing, displaying the present item identification result, for example, saving the item name, the item type, and the like included in the first item image.
According to the embodiment, the server is adopted to identify the image difference information so as to determine the changed object between the first object image and the second object image; the server determines information of the item included in the first item image based on information of the item changed between the first item image and the second item image, and information of the item included in the second item image. Therefore, the technical problem of low recognition efficiency of the object to be recognized in the recognition process in the related technology can be solved, and the technical effects of improving the recognition efficiency of the object, reducing the recognition cost of the object and increasing the application range of an object recognition algorithm are achieved.
The invention is further illustrated by the following examples:
The artificial intelligent commodity identification system comprises an edge gateway, a cloud platform, a client application and a maintenance tool application.
The edge gateway of the present invention comprises:
an edge gateway body;
the edge gateway body is provided with a plurality of USB interfaces for supplying power to a plurality of camera bodies;
the edge gateway body is provided with a plurality of USB interfaces for carrying out data communication with the camera body, including control management and picture data acquisition;
the edge gateway body is provided with a communication module (including but not limited to a wireless network and a mobile communication network) for accessing the cloud platform to realize data reporting and remote control;
The edge gateway body is provided with an artificial intelligent computing module which is used for carrying out artificial intelligent recognition on a shot photo, positioning all goods positions in the photo, extracting key goods information, wherein the goods information comprises position information (initial coordinates, width and height in the photo) and a goods photo;
an external antenna of a communication module is arranged on the edge gateway body;
The edge gateway body is provided with an indicator lamp for displaying the working state of the edge gateway body, wherein the working state comprises but is not limited to a connecting state, a working state and an engineering mode, and the indicator lamp flashes to indicate the state of receiving and transmitting packets when receiving and transmitting data packets;
the edge gateway body is provided with a reset button for controlling the edge gateway body to enter an engineering mode, and starting Bluetooth local maintenance service for communicating with maintenance tool application software;
A camera module body;
The camera module body is provided with a USB connecting wire which is used for accessing the edge gateway body to obtain power supply and data communication;
the camera module body is provided with a camera sensor for collecting goods display photos or video data;
The camera module body is provided with a protection device for preventing the lens from fogging and blurring, and the protection device comprises a heating coil and an anti-fog coating;
the camera module body is provided with a fisheye lens for acquiring wide-angle pictures;
The cloud platform is a center platform of an edge gateway and is also a business platform for identifying goods and is used for gateway access, data acquisition, data storage, data analysis and business presentation;
The client application software is a client application of goods identification service and is used for accessing data and service statistical information of goods identification, and comprises webpage client application software and mobile client application software.
The maintenance tool application software supports local management and maintenance of the edge gateway through Bluetooth, and comprises the functions of parameter configuration, firmware upgrading and the like;
FIG. 4 is a schematic illustration of an alternative method of identifying an item, as shown in FIG. 4, according to an embodiment of the present invention, the process including, but not limited to, the steps of:
S1, an edge gateway obtains a current shot picture 402 through a camera module;
S2, the edge gateway performs artificial intelligent recognition on the shot photos, positions and frames each goods in the photos;
S3, the edge gateway compares the current identification result (current photo 402) with the last identification result (last photo 406) and calculates the difference condition (differential goods photo 404);
s4, reporting all the identified goods information when the difference condition reaches the threshold value, and reporting the goods information identified by the change area when the difference condition does not reach the threshold value;
S5, reporting goods information to the cloud platform by the edge gateway, wherein the goods information comprises goods position information (initial coordinates, width and height in the photo), goods photo and the like;
s6, the cloud platform receives the information of each item reported by the edge gateway, performs artificial intelligent item identification on the item photo, and determines the specific item name;
s7, the cloud platform updates the identification result of the goods in the change area by combining the identification result of the different goods and the last identification result to obtain a complete identification result;
and S8, the cloud platform stores, analyzes and presents the identification result data.
Wherein identifying the item reporting mechanism (corresponding to the foregoing sending the first item image to the server or the first image information to the server) includes at least one of:
Reporting the total amount for the first time: when the edge gateway is started for the first time, reporting all goods identified in the photo;
and (5) reporting the total periodicity: the edge gateway judges that when the time interval from the last report of all goods reaches a certain time interval threshold value, all goods identified in the photo are reported;
A large number of change total amount report: the edge gateway judges the proportion of the change of the goods to the last time, and when the proportion reaches a certain proportion threshold value, all the goods information identified in the photo is reported;
And (3) reporting a small amount of change difference: and the edge gateway judges that when the ratio of the change of the goods to the last identified goods does not reach a certain ratio threshold value, only reporting the information of the goods which are identified in the photo.
According to the technical scheme, the method and the system for identifying the artificial intelligent commodity, disclosed by the invention, are combined with the edge gateway and the cloud platform, the edge gateway with the artificial intelligent computing capability is used for completing the basic identification of the commodity in the photo, extracting the picture information of a commodity-discharging area, and then delivering the picture information to the cloud platform to complete the identification of the specific commodity name; only the goods information of the changed area is reported through the edge gateway differential judging mechanism, so that the uploaded picture data volume can be greatly reduced, the communication flow is saved, the useful service information is greatly improved, the differential reporting mechanism is identified, the actual condition that a customer takes the goods from a container and a freezer in a service scene is met, and the continuous and reliable information datamation is provided for large data analysis of a new retail industry, and finally the technical effect of improving the overall operation efficiency of retail enterprises is facilitated.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The embodiment also provides an article identification device, which is used for implementing the above embodiment and the preferred embodiment, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 5 is a block diagram of an alternative article identification device according to an embodiment of the present invention, as shown in fig. 5, the device including:
An acquiring module 502, configured to acquire a first article image acquired by an image acquisition device after capturing a target area;
a determining module 504, configured to determine image difference information between the first article image and a second article image, where the second article image is a pre-captured image;
And a sending module 506, configured to send the image difference information to a server, so that the server identifies, according to the image difference information, an item that is changed between the first item image and the second item image, if the image difference information does not reach a preset condition.
As an alternative, the apparatus is configured to determine the image difference information between the first article image information and the second article image information by: dividing the first object image according to a preset dividing mode to obtain a preset number of first sub-images; comparing each first sub-image with a second sub-image of a corresponding area included in the second object image, determining a first sub-image which is different from the second sub-image of the corresponding area, and determining the first sub-image which is different from the second sub-image of the corresponding area as a target sub-image; the image difference information is determined based on the target sub-image.
As an alternative, the apparatus is configured to segment the first object image in a predetermined segmentation manner to obtain a predetermined number of first sub-images by: identifying the first article image, and acquiring the number of articles contained in the first article image and the area corresponding to each article; and dividing the first article image based on the area corresponding to each article contained in the first article image so as to obtain first sub-images with the same number as the articles.
As an alternative, the apparatus is configured to compare each of the first sub-images with the second sub-image of the corresponding region included in the second article image, determine a first sub-image that is different from the second sub-image of the corresponding region, and determine the first sub-image that is different from the second sub-image of the corresponding region as the target sub-image by: comparing the area corresponding to each first sub-image with the second sub-image of the corresponding area included in the second object image, determining that the changed first sub-image is the target sub-image, and determining the number of the target sub-images; and determining the ratio of the number of the target sub-images to the number of the first sub-images as the image difference information.
As an alternative, the apparatus is configured to segment the first object image in a predetermined segmentation manner to obtain a predetermined number of first sub-images by: identifying the first object image and acquiring a plurality of preset areas contained in the first object image; and dividing the first object image based on the preset areas to obtain a plurality of first sub-images corresponding to the preset areas.
As an alternative, the apparatus is configured to compare each of the first sub-images with the second sub-image of the corresponding region included in the second article image, determine a first sub-image that is different from the second sub-image of the corresponding region, and determine the first sub-image that is different from the second sub-image of the corresponding region as the target sub-image by: comparing each preset area with a plurality of preset areas included in the second object image, determining the changed preset areas as the target sub-images, and determining the number of the target sub-images; and determining the ratio of the number of the target sub-images to the number of the first sub-images as the image difference information.
As an alternative, the device is further configured to: after determining the image difference information between the first article image and the second article image, sending the first article image to the server so that the server identifies the article which is changed between the first article image and the pre-received second article image when the image difference information reaches the preset condition.
As an alternative, the apparatus is configured to determine the image difference information between the first article image and the second article image by: determining first image information of the first item image; comparing the first image information with predetermined second image information of the second object image to determine the image difference information; after determining the image difference information between the first item image and the second item image, the method further comprises: and sending the first image information to a server under the condition that the image difference information reaches the preset condition, so that the server identifies the changed object between the first object image and the second object image according to the first image information and the predetermined second image information.
As an alternative, the device is further configured to: acquiring the second object image acquired by the image acquisition device after shooting the target area before determining image difference information between the first object image and the second object image; and sending the second object image to the server.
As an alternative, the device is further configured to: after acquiring a first object image acquired by an image acquisition device after shooting a target area, determining the storage time of the second object image; and transmitting the first object image to the server under the condition that the storage time exceeds a preset time length.
As an alternative, the above device is further configured to: when the difference information does not reach the preset condition, after the difference information is sent to a server, the server identifies the image difference information to determine the changed object between the first object image and the second object image; the server determines information of an item included in the first item image based on information of an item changed between the first item image and the second item image, and information of an item included in the second item image.
It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; or the above modules may be located in different processors in any combination.
Embodiments of the present invention also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
In the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for performing the steps of:
S1, acquiring a first object image acquired by an image acquisition device after shooting a target area;
s2, determining image difference information between a first object image and a second object image, wherein the second object image is a pre-shot image;
And S3, when the image difference information does not reach the preset condition, sending the image difference information to the server so that the server can identify the changed object between the first object image and the second object image according to the image difference information.
The computer readable storage medium is further arranged to store a computer program for performing the steps of:
S1, acquiring a first object image acquired by an image acquisition device after shooting a target area;
s2, determining image difference information between a first object image and a second object image, wherein the second object image is a pre-shot image;
And S3, when the image difference information does not reach the preset condition, sending the image difference information to the server so that the server can identify the changed object between the first object image and the second object image according to the image difference information.
In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
An embodiment of the invention also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In an exemplary embodiment, the electronic apparatus may further include a transmission device connected to the processor, and an input/output device connected to the processor.
In an exemplary embodiment, the above-mentioned processor may be arranged to perform the following steps by means of a computer program:
S1, acquiring a first object image acquired by an image acquisition device after shooting a target area;
s2, determining image difference information between a first object image and a second object image, wherein the second object image is a pre-shot image;
And S3, when the image difference information does not reach the preset condition, sending the image difference information to the server so that the server can identify the changed object between the first object image and the second object image according to the image difference information.
Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (13)
1. A method of identifying an article, comprising:
acquiring a first object image acquired by an image acquisition device after shooting a target area;
determining image difference information between the first object image and a second object image, wherein the second object image is a pre-shot image;
Transmitting the image difference information to a server under the condition that the image difference information does not reach a preset condition, so that the server identifies an object with change between the first object image and the second object image according to the image difference information; transmitting first image information of the first article image to the server under the condition that the image difference information reaches the preset condition;
The determining image difference information between the first article image information and the second article image information includes: dividing the first object image according to a preset dividing mode to obtain a preset number of first sub-images; comparing each first sub-image with a second sub-image of a corresponding area included in the second object image, determining a first sub-image which is different from the second sub-image of the corresponding area, and determining the first sub-image which is different from the second sub-image of the corresponding area as a target sub-image; the image difference information is determined based on the target sub-image.
2. The method of claim 1, wherein segmenting the first item image in a predetermined segmentation manner to obtain a predetermined number of first sub-images comprises:
Identifying the first article image, and acquiring the number of articles contained in the first article image and the area corresponding to each article;
And dividing the first article image based on the area corresponding to each article contained in the first article image so as to obtain first sub-images with the same number as the articles.
3. The method according to claim 1, wherein comparing each of the first sub-images with the second sub-image of the corresponding region included in the second article image, determining a first sub-image that differs from the second sub-image of the corresponding region, and determining the first sub-image that differs from the second sub-image of the corresponding region as a target sub-image, comprises:
Comparing the area corresponding to each first sub-image with the second sub-image of the corresponding area included in the second object image, determining that the changed first sub-image is the target sub-image, and determining the number of the target sub-images;
and determining the ratio of the number of the target sub-images to the number of the first sub-images as the image difference information.
4. The method of claim 1, wherein segmenting the first item image in a predetermined segmentation manner to obtain a predetermined number of first sub-images comprises:
identifying the first object image and acquiring a plurality of preset areas contained in the first object image;
and dividing the first object image based on the preset areas to obtain a plurality of first sub-images corresponding to the preset areas.
5. The method of claim 4, wherein comparing each of the first sub-images with the second sub-image of the corresponding region included in the second article image, determining a first sub-image that differs from the second sub-image of the corresponding region, and determining the first sub-image that differs from the second sub-image of the corresponding region as the target sub-image, comprises:
Comparing each preset area with a plurality of preset areas included in the second object image, determining the changed preset areas as the target sub-images, and determining the number of the target sub-images;
and determining the ratio of the number of the target sub-images to the number of the first sub-images as the image difference information.
6. The method of claim 1, wherein after determining the image difference information between the first item image and the second item image, the method further comprises:
and sending the first article image to the server under the condition that the image difference information reaches the preset condition, so that the server identifies the article which is changed between the first article image and the pre-received second article image.
7. The method of claim 1, wherein the step of determining the position of the substrate comprises,
Determining image difference information between the first item image and a second item image includes: determining the first image information; comparing the first image information with predetermined second image information of the second object image to determine the image difference information;
After determining the image difference information between the first item image and the second item image, the method further comprises: and sending the first image information to a server under the condition that the image difference information reaches the preset condition, so that the server identifies the changed object between the first object image and the second object image according to the first image information and the predetermined second image information.
8. The method of claim 1, wherein prior to determining the image difference information between the first item image and the second item image, the method further comprises:
acquiring the second object image obtained after the image acquisition device shoots the target area;
and sending the second object image to the server.
9. The method of claim 1, wherein after acquiring the first article image acquired by the image acquisition device after capturing the target area, the method further comprises:
determining a storage time of the second object image;
and transmitting the first object image to the server under the condition that the storage time exceeds a preset time length.
10. The method according to claim 1, wherein after transmitting the difference information to a server in case the difference information does not reach a preset condition, the method further comprises:
The server identifies the image difference information to determine an object with a change between the first object image and the second object image;
The server determines information of an item included in the first item image based on information of an item changed between the first item image and the second item image, and information of an item included in the second item image.
11. An article identification device comprising:
The acquisition module is used for acquiring a first object image acquired by the image acquisition equipment after shooting the target area;
the determining module is used for determining image difference information between the first article image and a second article image, wherein the second article image is a pre-shot image;
The sending module is used for sending the image difference information to a server under the condition that the image difference information does not reach a preset condition, so that the server can identify the changed object between the first object image and the second object image according to the image difference information; transmitting first image information of the first article image to the server under the condition that the image difference information reaches the preset condition;
The apparatus is for determining image difference information between the first item image information and second item image information by: dividing the first object image according to a preset dividing mode to obtain a preset number of first sub-images; comparing each first sub-image with a second sub-image of a corresponding area included in the second object image, determining a first sub-image which is different from the second sub-image of the corresponding area, and determining the first sub-image which is different from the second sub-image of the corresponding area as a target sub-image; the image difference information is determined based on the target sub-image.
12. A computer readable storage medium, characterized in that a computer program is stored in the computer readable storage medium, wherein the computer program, when being executed by a processor, implements the steps of the method according to any of the claims 1 to 10.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method as claimed in any one of claims 1 to 10 when the computer program is executed.
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