CN111191066A - Image recognition-based pet identity recognition method and device - Google Patents
Image recognition-based pet identity recognition method and device Download PDFInfo
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- CN111191066A CN111191066A CN201911334178.9A CN201911334178A CN111191066A CN 111191066 A CN111191066 A CN 111191066A CN 201911334178 A CN201911334178 A CN 201911334178A CN 111191066 A CN111191066 A CN 111191066A
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Abstract
The application discloses a pet identity recognition method based on image recognition, which comprises the following steps: collecting a first image containing key information of a pet to be identified; sending the first image to a server so that the server identifies the pet to be identified according to pre-stored identification information to obtain an identification result; receiving the identification result sent by the server; the pre-stored identification information comprises a first image of the pet to be identified and corresponding registration identity information. The identity of the pet can be identified through image identification, the identity of the pet can be identified based on the image of the pet under the condition that the pet is lost, all persons (pet owners) of the pet can be found out in time, the finding probability that the pet is lost is improved, the probability that the pet is wandering is reduced, in addition, the threat and harm of the wandering pet to the social public are reduced, and the overall social image is improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a pet identity recognition method, a pet identity recognition device, a pet identity recognition system, a computer readable storage medium and electronic equipment based on image recognition.
Background
With the higher living standard, people are generally raising small pets, wherein dogs are the most common pet, but for various reasons, a plurality of pet dogs are separated from owners to become wave dogs. Now, the pet dog owner can retrieve the pet dog basically by lost and found, WeChat and microblog and the like, the possibility of retrieving the pet dog is very low, and in addition, if the pet dog is called a wandering dog, the social public can be threatened due to unmanned management. In order to enable a dog owner to timely retrieve lost pet dogs and avoid the pet dogs from falling into wave dogs so as to reduce the threat to the social public, the invention provides a pet identity recognition method based on image recognition.
Disclosure of Invention
The present application is proposed to solve the above-mentioned technical problems. Embodiments of the application provide a pet identity recognition method, a pet identity recognition device, a pet identity recognition system, a computer-readable storage medium and an electronic device based on image recognition.
According to one aspect of the application, a pet identification method based on image recognition is provided, which comprises the following steps:
collecting a first image containing key information of a pet to be identified;
sending the first image to a server so that the server identifies the pet to be identified according to pre-stored identification information to obtain an identification result;
receiving the identification result sent by the server;
the pre-stored identification information comprises a first image of the pet to be identified and corresponding registration identity information.
According to a second aspect of the present application, there is provided a pet identification method based on image recognition, applied to a server, the method including:
receiving a first image which is sent by an application terminal and contains key information of a pet to be identified;
comparing the first image with images in pre-stored identification information, wherein the pre-stored identification information comprises a corresponding relation between the first image of the pet to be identified and the registered identity information of the pet to be identified;
when the first image of the pet to be identified is found out from the pre-stored identification information, determining the registration identity information of the pet to be identified according to the registration identity information corresponding to the first image to be used as identification information;
and sending the identification information to the application terminal.
According to a third aspect of the present application, there is provided a pet identification system based on image recognition, comprising an application terminal and a server, wherein the application terminal is configured to execute the pet identification method based on image recognition according to the first aspect; the storage database is used for executing the pet identification method based on image recognition of the second aspect.
According to a fourth aspect of the present application, there is provided a pet identification device based on image recognition, disposed in an application terminal, the device including:
the system comprises an acquisition module, a recognition module and a recognition module, wherein the acquisition module is used for acquiring a first image containing key information of a pet to be recognized;
the first sending module is used for sending the first image to a server so that the server can identify the pet to be identified according to pre-stored identification information to obtain an identification result;
the first receiving module is used for receiving the identification result sent by the server;
the pre-stored identification information comprises a first image of the pet to be identified and corresponding registration identity information.
According to a fifth aspect of the present application, there is provided an image recognition-based pet identification device, applied to a server, the device comprising:
the second receiving module is used for receiving the first image which is sent by the application terminal and contains the key information of the pet to be identified;
the comparison module is used for comparing the first image with images in pre-stored identification information, wherein the pre-stored identification information comprises a corresponding relation between the first image of the pet to be identified and the registration identity information of the pet to be identified;
the identification module is used for determining the registration identity information of the pet to be identified according to the registration identity information corresponding to the first image to be used as identification information when the first image of the pet to be identified is found out from the pre-stored identification information;
and the second sending module is used for sending the identification information to the application terminal.
According to a sixth aspect of the present application, there is provided a computer-readable storage medium storing a computer program for executing the image recognition-based pet identification method according to the first or second aspect.
According to a seventh aspect of the present application, there is provided an electronic apparatus comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the pet identification method based on image recognition according to the first aspect or the second aspect.
The embodiment that this application provided realizes the discernment to the pet identity through image identification, can be under the pet condition of losing, and the identity of pet is discerned based on the image of pet, helps in time finding the owner (pet owner) of pet, improves the probability of finding back that the pet is lost to reduce the probability that the pet is unrestrained, in addition, reduce the threat and the harm of unrestrained pet to social public, promote the whole image of society.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments 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 principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a flowchart illustrating a pet identification method based on image recognition according to a first exemplary embodiment of the present application.
Fig. 2 is a flowchart illustrating a pet identification method based on image recognition according to a second exemplary embodiment of the present application.
Fig. 3 is a schematic structural diagram of a pet identification device based on image recognition according to a first exemplary embodiment of the present application.
Fig. 4 is a schematic structural diagram of a pet identification device based on image recognition according to a second exemplary embodiment of the present application.
Fig. 5 is a schematic structural diagram of a pet identification system based on image recognition according to an exemplary embodiment of the present application.
Fig. 6 is a block diagram of an electronic device provided in an exemplary embodiment of the present application.
Detailed Description
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein.
Summary of the application
After a pet of people is lost, most lost pets are found by means of lost object solicitation advertisements and the like, but the finding range of the existing methods is small, and the probability of finding the lost pet is small. The lost pets become the wandering pets, which may cause safety threats to social public on one hand, for example, some pet dogs may bite people because of no management after becoming the wandering dogs, and on the other hand, the life safety of the wandering pets is difficult to be guaranteed. Based on the above, the invention provides a pet identity recognition method, a pet identity recognition device, a pet identity recognition system, a computer readable storage medium and an electronic device based on image recognition, so as to help a pet owner to retrieve a lost pet in time and reduce the probability that the lost pet cannot be retrieved.
Exemplary method
Fig. 1 is a flowchart illustrating a pet identification method based on image recognition according to an exemplary embodiment of the present application. The embodiment can be applied to an application terminal, for example, application software (app) using the intelligent electronic device as a carrier, and the application terminal can acquire an image of the pet by means of an image acquisition device of the intelligent electronic device and transmit the image and registration information of the pet to a server to realize identification of the pet.
As shown in fig. 1, the pet identification method based on image recognition of the present application may include the following steps:
In the present Application, the Application terminal may be, for example, an App (Application program) running on a mobile terminal device, including but not limited to all mobile terminal devices such as android and ios. And prompt information or operation icons of image acquisition can be displayed through the user interaction interface. The user can call the image acquisition device of the intelligent electronic equipment or the mobile terminal equipment by clicking the prompt message or the operation icon so as to acquire the image of the pet to be identified.
The pet to be identified may be, for example, a dog, a cat, or the like. The key information of the pet to be identified can be facial feature information, facial feature information and distinctive feature information of the body of the pet, for example. In the step, the key information of the pet is collected through an image collecting device of the intelligent electronic equipment or the mobile terminal equipment, so that a first image containing the key information of the pet to be identified is obtained. The first image is not limited to a black-and-white image, a color image, or the like.
And 102, sending the first image to a server so that the server identifies the pet to be identified according to the pre-stored identification information to obtain an identification result.
In the embodiment of the application, the server can store the identification information of the pet to be identified in advance. The identification information may include a first image of the pet to be identified and registered identity information corresponding to the first image. Illustratively, the identification information of the pet a includes a facial image of the pet a and owner contact information of the pet. The registered identity information may include, for example, the breed of the pet to be identified, contact information (e.g., contact phone, contact address, etc.) of the owner of the pet to be identified, or the breed of the pet to be identified and contact information of the owner of the pet to be identified.
After the application terminal sends the first image of the pet to be identified to the server, the server can search the image of the pet to be identified in the image in the pre-stored identification information, for example, the similarity between the first image of the pet to be identified and each image in the pre-stored identification information is calculated, the similarity ranking is performed, and the registration identity information corresponding to the image with the highest similarity is determined as the registration identity information of the pet to be identified. In other embodiments, a similarity threshold may be set in the server, the highest similarity is compared with the similarity threshold based on the sorted similarity sorting information, and only when the highest similarity is greater than the similarity threshold, the registered identity information corresponding to the image with the highest similarity is determined as the registered identity information of the pet to be identified, so as to improve the accuracy of the pet identity identification. The server may determine the registered identity information corresponding to the image with the highest similarity as the recognition result.
And step 103, receiving the identification result sent by the server.
In the application, the application terminal may display the received identification result, for example, display the contact information and the contact address of the owner of the pet. Therefore, the current user can help the lost pet contact the owner in time, and the owner who helps the lost pet can find the lost pet in time.
In other embodiments, the application terminal further provides a pet information registration entrance, for example, when the pet owner takes the pet, the application terminal may be used to call the image collecting device to collect the second image containing the key information of the pet to be identified, and may receive the registration identity information of the pet input by the user, so as to associate the second image of the pet with the registration identity information of the pet to form the identification information of the pet, and send the associated identification information of the pet to the server, so that the server stores the identification information of the pet. Through this embodiment, can carry out effectual identity management to the pet, form pet identity database, improve the probability that the pet lost the recovery.
On the basis of the above embodiment, since the key information of the pet may change during the pet growing process, the present application also provides an embodiment of updating the pet image. Illustratively, this can be achieved by: displaying an image update prompt for reminding a user to update a second image of the pet to be identified; based on this, the step of acquiring a second image containing key information of the pet to be identified may include: and acquiring a third image containing the key information of the pet to be identified according to the image updating prompt so as to update the third image into a second image. For example, an image update prompting period may be set, for example, 3 months, the time for uploading the second image of the pet is used as a starting point, and when the prompting period is reached, the image update prompting is displayed at the application terminal or the user is prompted to update the pet image in a short message manner by acquiring a pre-stored contact phone of the pet owner. Further, when the current image (i.e. the third image) of the pet is acquired, the image is transmitted to the server, so that the server updates the second image in the identification information, i.e. replaces the corresponding second image with the third image.
Fig. 2 is a flowchart illustrating a pet identification method based on image recognition according to a second exemplary embodiment of the present application. The embodiment is applied to the server, and the server can be in communication connection with the application terminal, so that the image information, the identity registration information and the like sent by the application terminal are received, and the identity information of the pet to be identified is identified.
As shown in fig. 2, the pet identification method based on image recognition may include the following steps:
The server can receive the first image of the pet to be identified, which is sent by the application terminal, through the communication connection. Further, the server may perform feature extraction on the first image, and obtain key information points in the first image of the pet to be identified, for example, facial feature points of the pet to be identified.
In this step, the server may search for the first image of the pet to be identified in the pre-stored identification information. For example, the similarity of the first image and the image in the identification information may be calculated based on the extracted image features (key information points) and the image features of the image in the pre-stored identification information. Wherein registering identity information comprises: the name of the pet to be identified, the type of the pet to be identified, contact information of the owner of the pet to be identified, and the like.
In this step, the registered identity information of the pet may be determined based on the similarity in step 202. For example, after the similarity is calculated, the similarity of the pre-stored images may be ranked based on the similarity, and the registered identity information corresponding to the image with the highest similarity may be selected as the registered identity information of the pet to be identified.
In other embodiments, a similarity threshold may be preset, and only when the highest similarity is higher than the similarity threshold, the registered identity information corresponding to the image with the highest similarity may be determined as the registered identity information of the pet to be identified. And determining the identified registration identity information as the identification information.
And step 204, sending the identification information to the application terminal.
In some embodiments of the present invention, the image recognition-based pet identification method of the present application may further include the steps of: and receiving identification information of the pet to be identified, which is sent by the application terminal, wherein the identification information can comprise a corresponding relation between a first image of the pet to be identified and the registered identity information of the pet to be identified. The pet may be classified first based on the registered identity information in the identification information of the application terminal, for example, the pet may be classified according to the pet type in the registered identity information, and the pet type illustratively includes big type and subclass information, for example, the big type of the classification of a golden-hair dog is a dog and the subclass is a golden hair. And storing the image of the pet to be identified and the corresponding registered identity information into the corresponding classification after classification. Based on this, when step 202 is executed, the classification of the pet in the first image may be identified, and then the first image is searched in the identification information under the corresponding classification, so as to identify the identity information of the pet. Based on this embodiment, can fix a position the article kind of treating discernment pet fast, look for corresponding identity information in the identifying information of the variety kind that corresponds, can reduce the scope of looking for, improve the speed of looking for.
In addition, the server can also perform machine learning, automatically learn based on the image information sent by the application terminal and the corresponding pet variety information, extract the characteristic information of the image and the pet variety information, and associate the image characteristic information with the pet variety information, so that the purpose of identifying the pet variety based on the characteristic information of the image is achieved, and a classification basis is provided for the pet to be identified in the process of identity identification.
The embodiment that this application provided realizes the discernment to the pet identity through image identification, can be under the pet condition of losing, and the identity of pet is discerned based on the image of pet, helps in time finding the owner (pet owner) of pet, improves the probability of finding back that the pet is lost to reduce the probability that the pet is unrestrained, in addition, reduce the threat and the harm of unrestrained pet to social public, promote the whole image of society.
In addition, through the data processing process (such as pet classification) of the server side, the efficiency of pet identification can be improved, and through setting a similarity threshold value, the accuracy of pet identification can be improved.
Exemplary devices
Fig. 3 is a schematic structural diagram of a pet identification device based on image recognition according to a first exemplary embodiment of the present application. The apparatus in this embodiment may be disposed in an application terminal, and the apparatus includes: an acquisition module 31, a first sending module 32, and a first receiving module 33.
The acquisition module 31 is used for acquiring a first image containing key information of a pet to be identified.
The first sending module 32 is configured to send the first image to a server, so that the server performs identity recognition on the pet to be recognized according to pre-stored recognition information to obtain a recognition result.
The first receiving module 33 is configured to receive the identification result sent by the server.
The pre-stored identification information comprises a first image of the pet to be identified and corresponding registration identity information.
In some embodiments, the image recognition-based pet identification apparatus of the present application may further include:
a second image acquisition module (not shown in the figure) for acquiring a second image containing key information of the pet to be identified;
an identity information obtaining module (not shown in the figure) for obtaining registered identity information corresponding to the second image and inputted by a user, and associating the second image with the registered identity information to form identification information of the pet to be identified;
and an identification information sending module (not shown in the figure) for sending the identification information to the server so as to enable the server to store the identification information.
In other embodiments, the method may further include:
an update prompt module (not shown in the figure) for displaying an image update prompt for reminding a user to update the second image of the pet to be identified; based on this, the second image capturing module (not shown in the figure) may be further configured to capture a third image including key information of the pet to be identified according to the image update prompt, so as to update the third image to the second image.
Wherein the registering identity information comprises: the name of the pet to be identified and the contact information of the owner of the pet to be identified.
The embodiment that this application provided realizes the discernment to the pet identity through image identification, can be under the pet condition of losing, and the identity of pet is discerned based on the image of pet, helps in time finding the owner (pet owner) of pet, improves the probability of finding back that the pet is lost to reduce the probability that the pet is unrestrained, in addition, reduce the threat and the harm of unrestrained pet to social public, promote the whole image of society.
Fig. 4 is a schematic structural diagram of a pet identification device based on image recognition according to a second exemplary embodiment of the present application. The device of the embodiment is applied to the server, and comprises: a second receiving module 41, a comparing module 42, an identifying module 43 and a second sending module 44.
The second receiving module 41 is used for receiving the first image which is sent by the application terminal and contains the key information of the pet to be identified.
The comparison module 42 is configured to compare the first image with an image in pre-stored identification information, where the pre-stored identification information includes a corresponding relationship between the first image of the pet to be identified and the registered identity information of the pet to be identified.
The identification module 43 is configured to determine, when the first image of the pet to be identified is found from the pre-stored identification information, the registered identity information of the pet to be identified according to the registered identity information corresponding to the first image, as the identification information.
The second sending module 44 is configured to send the identification information to the application terminal.
The apparatus of the embodiment of the present invention may further include: and a third receiving module (not shown in the figure), configured to receive identification information of the pet to be identified, where the identification information includes a correspondence between the first image of the pet to be identified and the registered identity information of the pet to be identified, and the identification information is sent from the application terminal.
The embodiment that this application provided realizes the discernment to the pet identity through image identification, can be under the pet condition of losing, and the identity of pet is discerned based on the image of pet, helps in time finding the owner (pet owner) of pet, improves the probability of finding back that the pet is lost to reduce the probability that the pet is unrestrained, in addition, reduce the threat and the harm of unrestrained pet to social public, promote the whole image of society.
Exemplary System
Fig. 5 is a schematic structural diagram of a pet identification system based on image recognition according to an exemplary embodiment of the present application. As shown in fig. 5, the pet identification system based on image recognition according to the embodiment of the present application may include an application terminal 51 and a server 52.
The first application terminal 51 is used for executing the pet identification method based on image recognition as described in the embodiment shown in fig. 1. The server 52 is used for executing the pet identification method based on image recognition as described in the embodiment shown in fig. 2.
Exemplary electronic device
Next, an electronic apparatus according to an embodiment of the present application is described with reference to fig. 6. FIG. 6 illustrates a block diagram of an electronic device in accordance with an embodiment of the present application.
As shown in fig. 6, the electronic device 11 includes one or more processors 111 and memory 112.
The processor 111 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 11 to perform desired functions.
Memory 112 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by processor 111 to implement a pet identification method based on image recognition and/or other desired functions of the various embodiments of the present application described above. Various contents such as an input signal, a signal component, a noise component, etc. may also be stored in the computer-readable storage medium.
In one example, the electronic device 11 may further include: an input device 113 and an output device 114, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
For example, when the electronic device is a first device or a second device, the input device 113 may be a microphone or a microphone array as described above for capturing an input signal of a sound source. When the electronic device is a stand-alone device, the input means 113 may be a communication network connector for receiving the acquired input signals from the first device and the second device.
The input device 113 may also include, for example, a keyboard, a mouse, and the like.
The output device 114 may output various information including the determined distance information, direction information, and the like to the outside. The output devices 114 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for the sake of simplicity, only some of the components of the electronic device 11 relevant to the present application are shown in fig. 6, and components such as buses, input/output interfaces, and the like are omitted. In addition, the electronic device 11 may include any other suitable components, depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps of a method for image recognition-based pet identification according to various embodiments of the present application as described in the "exemplary methods" section of this specification, supra.
The computer program product may be written with program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the first user computing device, partly on the first user device, as a stand-alone software package, partly on the first user computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform the steps of a method for image recognition-based pet identification according to various embodiments of the present application described in the "exemplary methods" section above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the application to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. A pet identity recognition method based on image recognition is applied to an application terminal, and is characterized in that the method comprises the following steps:
collecting a first image containing key information of a pet to be identified;
sending the first image to a server so that the server identifies the pet to be identified according to pre-stored identification information to obtain an identification result;
receiving the identification result sent by the server;
the pre-stored identification information comprises a first image of the pet to be identified and corresponding registration identity information.
2. The method of claim 1, wherein prior to said capturing the first image containing key information of the pet to be identified, the method further comprises:
collecting a second image containing key information of the pet to be identified;
acquiring registered identity information corresponding to the second image and input by a user, and associating the second image with the registered identity information to form identification information of the pet to be identified;
and sending the identification information to the server so as to enable the server to store the identification information.
3. The method of claim 2, further comprising:
displaying an image updating prompt for reminding a user to update the second image of the pet to be identified;
acquiring a second image containing key information of the pet to be identified, comprising:
and acquiring a third image containing key information of the pet to be identified according to the image updating prompt so as to update the third image into the second image.
4. The method of claim 1, wherein the registering identity information comprises: the name of the pet to be identified and the contact information of the owner of the pet to be identified.
5. A pet identity recognition method based on image recognition is applied to a server, and is characterized by comprising the following steps:
receiving a first image which is sent by an application terminal and contains key information of a pet to be identified;
comparing the first image with images in pre-stored identification information, wherein the pre-stored identification information comprises a corresponding relation between the first image of the pet to be identified and the registered identity information of the pet to be identified;
when the first image of the pet to be identified is found out from the pre-stored identification information, determining the registration identity information of the pet to be identified according to the registration identity information corresponding to the first image to be used as identification information;
and sending the identification information to the application terminal.
6. The method according to claim 5, wherein before the receiving of the first image containing the key information of the pet to be identified from the application terminal, the method further comprises:
and receiving the identification information of the pet to be identified, which is sent by the application terminal, wherein the identification information comprises the corresponding relation between the first image of the pet to be identified and the registered identity information of the pet to be identified.
7. The method of claim 5, wherein registering identity information comprises: the name of the pet to be identified and the contact information of the owner of the pet to be identified.
8. A pet identity recognition system based on image recognition is characterized by comprising an application terminal and a server,
wherein the content of the first and second substances,
the application terminal is used for executing the pet identity recognition method based on image recognition according to any one of claims 1-4;
the storage database is used for executing the pet identification method based on image identification according to any one of claims 5-7.
9. The utility model provides a pet identification device based on image recognition, is applied to application terminal, its characterized in that, the device includes:
the system comprises an acquisition module, a recognition module and a recognition module, wherein the acquisition module is used for acquiring a first image containing key information of a pet to be recognized;
the first sending module is used for sending the first image to a server so that the server can identify the pet to be identified according to pre-stored identification information to obtain an identification result;
the first receiving module is used for receiving the identification result sent by the server;
the pre-stored identification information comprises a first image of the pet to be identified and corresponding registration identity information.
10. A pet identification device based on image recognition is applied to a server, and is characterized in that the device comprises:
the second receiving module is used for receiving the first image which is sent by the application terminal and contains the key information of the pet to be identified;
the comparison module is used for comparing the first image with images in pre-stored identification information, wherein the pre-stored identification information comprises a corresponding relation between the first image of the pet to be identified and the registration identity information of the pet to be identified;
the identification module is used for determining the registration identity information of the pet to be identified according to the registration identity information corresponding to the first image to be used as identification information when the first image of the pet to be identified is found out from the pre-stored identification information;
and the second sending module is used for sending the identification information to the application terminal.
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