CN112182008A - System, method, terminal and medium for analyzing face picture data acquired by mobile terminal - Google Patents
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Abstract
The invention discloses a human face picture data analysis system collected by a mobile terminal, which relates to the technical field of data processing, and comprises the following components: the mobile terminal comprises a picture receiving module, a picture storage module, a picture identification module, a picture analysis module and a display module, wherein the picture receiving module is used for receiving picture information collected by the mobile terminal; the picture storage module is used for storing the received picture information to a picture storage server; the image recognition module is used for recognizing the face information from the collected image information, correspondingly updating the image with the recognized face information in the database and deleting the image without the recognized face information; the image analysis module is used for matching the identified face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data; and the display module is used for displaying the analysis result. The system can rapidly analyze the face images of the picture information sent by the mobile terminal in batches, thereby improving the analysis speed and saving the analysis time.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a system, a method, a terminal and a medium for analyzing human face picture data acquired by a mobile terminal.
Background
Face recognition is a biometric technique for identifying an identity based on facial feature information of a person. With the development of the face recognition technology, the face recognition technology is widely applied to various industries due to the characteristics of accurate data, high safety factor, convenient use and the like. The policeman lets relevant personnel show the certificate when on duty, and if someone is not matched or does not carry the certificate, the person cannot know the true identity immediately. How to rapidly identify through collecting human face images is a problem which needs to be solved at present.
Disclosure of Invention
Aiming at the defects in the prior art, the embodiment of the invention provides a system, a method, a terminal and a medium for analyzing face image data acquired by a mobile terminal, which can quickly analyze face images of picture information sent by the mobile terminal in batches, improve the analysis speed and save the analysis time.
In a first aspect, an embodiment of the present invention provides a system for analyzing face image data acquired by a mobile terminal, including: a picture receiving module, a picture storing module, a picture identifying module, a picture analyzing module and a display module, wherein,
the picture receiving module is used for receiving picture information collected by the mobile terminal;
the picture storage module is used for storing the received picture information to a picture storage server;
the image recognition module is used for recognizing the face information from the collected image information, correspondingly updating the image with the recognized face information in the database and deleting the image without the recognized face information;
the image analysis module is used for matching the identified face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data;
the display module is used for displaying the analysis result.
In a second aspect, an embodiment of the present invention provides a method for analyzing face image data acquired by a mobile terminal, including:
receiving picture information collected by a mobile terminal;
storing the received picture information to a picture storage server;
recognizing face information from the collected image information, correspondingly updating the image with the recognized face information in a database, and deleting the image without the recognized face information;
matching the recognized face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data;
and displaying the analysis result.
In a third aspect, an intelligent terminal provided in an embodiment of the present invention includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method described in the foregoing embodiment.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, the computer program including program instructions, which, when executed by a processor, cause the processor to execute the method described in the above embodiment.
The invention has the beneficial effects that:
the embodiment of the invention provides a system, a method, a terminal and a medium for analyzing face image data acquired by a mobile terminal, which store the image information transmitted by the mobile terminal into an image storage server for unified management, facilitate batch calling, analysis and display of images, identify the images with face information through an image identification module, update a database, delete the images without face information to save storage space, cluster the images with face information, analyze the clustered data, quickly analyze the face images in batches, improve the resource utilization rate, reduce the analysis times, improve the analysis speed and save the analysis time.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a block diagram illustrating a structure of a system for analyzing face picture data acquired by a mobile terminal according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for analyzing face image data acquired by a mobile terminal according to a second embodiment of the present invention;
fig. 3 shows a block diagram of an intelligent terminal according to a third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
As shown in fig. 1, a block diagram of a structure of a system for analyzing face picture data acquired by a mobile terminal according to a first embodiment of the present invention is shown, where the system includes: a picture receiving module, a picture storing module, a picture identifying module, a picture analyzing module and a display module, wherein,
the picture receiving module is used for receiving picture information collected by the mobile terminal;
the picture storage module is used for storing the received picture information to a picture storage server;
the image recognition module is used for recognizing the face information from the collected image information, correspondingly updating the image with the recognized face information in the database and deleting the image without the recognized face information;
the image analysis module is used for matching the identified face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data;
the display module is used for displaying the analysis result.
The human face image data analysis system collected by the mobile terminal provided by this embodiment may be an APP or a website in a specific implementation manner, the APP is adopted in this embodiment as an example, and the mobile terminal is an intelligent terminal with computing capability. The mobile terminal collects picture information or receives picture information sent by other mobile terminals, the mobile terminal transmits the picture information to the picture receiving module through HTTP, the picture receiving module receives the picture information sent by the mobile terminal, the picture storage module stores the received picture information to a local picture storage server, the picture storage server adopts distributed storage, pictures are stored in the picture storage server to facilitate batch calling and displaying of the pictures, meanwhile, the collected pictures of the mobile terminal are unified and collected, and unified management is facilitated. The image storage server adopts distributed storage and has high response speed. The image receiving module also comprises an image link acquiring unit, the image link acquiring unit acquires the URL link of the stored image, generates the number of the storage task, and stores the task number and the links of all images under the storage task into a database for other modules to call.
The image recognition module recognizes the face information from the collected image information, correspondingly updates the image with the recognized face information in the database, and deletes the image without the recognized face information so as to save the storage space.
The image analysis module comprises a characteristic value acquisition unit, a face clustering unit and a matching unit, wherein the characteristic value acquisition module acquires a characteristic value from an image with face information, the face clustering unit carries out clustering according to the similarity of the characteristic value, similar face images are aggregated into a group to generate a characteristic value of all data in the group, the characteristic value acquisition module acquires the characteristic value of all data in the group, the matching unit uses the characteristic value to match the characteristic value in the basic information data of personnel, if the similarity of the characteristic value is greater than a certain fixed value, the personnel in the group and the personnel in the basic information data are judged to be the same person, and the associated data are imported into a database of the system to be stored; and if the similarity of the characteristic values is less than or equal to a certain fixed value, judging that the people in the clustering group and the people in the basic information data are not the same person. In this embodiment, the basic information data of the person is the identity information of the residents in the public security system. The display module displays the analysis result of the picture analysis module through the page, and can perform operations such as query, screening, result export, change, deletion and the like on the analysis result through page operation. The image analysis module only analyzes the clustered data by carrying out face clustering on the face images, so that the resource utilization rate is improved, the analysis times are reduced, the analysis speed is improved, and the analysis time is saved.
The human face image data analysis system collected by the mobile terminal stores the image information transmitted by the mobile terminal into the image storage server for unified management, facilitates batch calling, analysis and display of the images, identifies the images with the human face information through the image identification module, updates the database, deletes the images without the human face information to save storage space, clusters the images with the human face information, analyzes the clustered data, can quickly analyze the human face images in batches, improves the resource utilization rate, reduces the analysis times, improves the analysis speed and saves the analysis time.
In the foregoing first embodiment, a system for analyzing face image data acquired by a mobile terminal is provided, and correspondingly, the present application further provides a method for analyzing face image data acquired by a mobile terminal. Please refer to fig. 2, which is a flowchart illustrating a method for analyzing face image data collected by a mobile terminal according to a second embodiment of the present invention. Since the method embodiment is basically similar to the device embodiment, the description is simple, and the relevant points can be referred to the partial description of the device embodiment. The method embodiments described below are merely illustrative.
As shown in fig. 2, a flowchart of a method for analyzing face picture data acquired by a mobile terminal according to a second embodiment of the present invention is shown, where the method is applied to the system described in the first embodiment, and the method includes:
and S1, receiving the picture information collected by the mobile terminal.
And S2, storing the received picture information in a picture storage server.
Specifically, the mobile terminal collects picture information, the pictures are transmitted to the picture receiving module, the received pictures are stored in the local picture storage server by the picture storage module, the pictures are stored in the picture storage server in a distributed mode, batch calling and displaying of the pictures are facilitated, the collected pictures of the mobile terminal are collected in a unified mode, and unified management is facilitated. The image storage server adopts distributed storage and has high response speed.
And S3, recognizing the face information from the collected picture information, correspondingly updating the picture with the recognized face information in a database, and deleting the picture without the recognized face information.
And S4, matching the recognized face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data.
Specifically, the specific method for obtaining the analysis result by matching the recognized face information with the basic information data of the person includes:
acquiring a characteristic value from the identified picture of the face information;
face clustering is carried out according to the similarity of the characteristic values, and similar face pictures are aggregated into a group to obtain a cluster group;
acquiring characteristic values of all data in the clustering group, and matching the characteristic values obtained by the clustering group with the characteristic values in the basic information data of the personnel;
if the similarity of the characteristic values is greater than a set value, determining that the people in the clustering group and the people in the basic information data are the same person;
and if the similarity of the characteristic values is less than or equal to a set value, judging that the people in the clustering group and the people in the basic information data are not the same person.
Through the specific steps of matching the recognized face information with the basic information data of the personnel, face clustering is carried out on the face picture, only the clustered data are analyzed, the resource utilization rate is improved, the analysis times are reduced, the analysis speed is improved, and the analysis time is saved.
And S5, displaying the analysis result.
Specifically, the picture analysis result is displayed through the page, and the analysis result can be queried, screened, exported, changed, deleted and the like through page operation.
Further, before the step of storing the received picture information in the picture storage server after the step of receiving the picture information collected by the mobile terminal, the method further comprises the following steps:
and acquiring URL links for calling the stored pictures, generating the number of the storage task, and storing the task number and the links of all the pictures under the storage task into a database.
The image information transmitted by the mobile terminal is stored in the image storage server for unified management, the batch calling, analysis and display of the images are facilitated, the images with the face information are identified through the image identification module, the database is updated, the images without the face information are deleted to save storage space, the images with the face information are clustered, the clustered data are analyzed, the face image analysis can be rapidly performed in batches, the resource utilization rate is improved, the analysis times are reduced, the analysis speed is improved, and the analysis time is saved.
As shown in fig. 3, in another embodiment of the present invention, a structural block diagram of an intelligent terminal is provided, where the terminal includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, the memory is used for storing a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method described in the foregoing embodiment.
It should be understood that in the embodiments of the present invention, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device may include a display (LCD, etc.), a speaker, etc.
The memory may include both read-only memory and random access memory, and provides instructions and data to the processor. The portion of memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In a specific implementation, the processor, the input device, and the output device described in the embodiments of the present invention may execute the implementation described in the method embodiments provided in the embodiments of the present invention, and may also execute the implementation described in the system embodiments in the embodiments of the present invention, which is not described herein again.
The invention also provides an embodiment of a computer-readable storage medium, in which a computer program is stored, which computer program comprises program instructions that, when executed by a processor, cause the processor to carry out the method described in the above embodiment.
The computer readable storage medium may be an internal storage unit of the terminal described in the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (9)
1. The utility model provides a people's face picture data analysis system that removes end collection which characterized in that includes: a picture receiving module, a picture storing module, a picture identifying module, a picture analyzing module and a display module, wherein,
the picture receiving module is used for receiving picture information collected by the mobile terminal;
the picture storage module is used for storing the received picture information to a picture storage server;
the image recognition module is used for recognizing the face information from the collected image information, correspondingly updating the image with the recognized face information in the database and deleting the image without the recognized face information;
the image analysis module is used for matching the identified face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data;
the display module is used for displaying the analysis result.
2. The system of claim 1, wherein the picture analysis module includes a feature value acquisition unit, a face clustering unit, and a matching unit,
the characteristic value acquisition unit is used for acquiring characteristic values from the identified pictures of the face information;
the face clustering unit carries out face clustering according to the similarity of the characteristic values and aggregates similar face pictures into a group to obtain a cluster group;
the characteristic value acquisition unit is also used for acquiring the characteristic values of all data in the cluster group;
the matching unit matches the characteristic values obtained by the clustering group with the characteristic values in the basic information data of the personnel;
if the similarity of the characteristic values is greater than a set value, determining that the people in the clustering group and the people in the basic information data are the same person;
and if the similarity of the characteristic values is less than or equal to a set value, judging that the people in the clustering group and the people in the basic information database are not the same person.
3. The system of claim 1, wherein the picture receiving module further comprises a picture link acquiring unit, the picture link acquiring unit acquires a URL link of a stored picture, generates a number of the storage task, and stores the task number and links of all pictures in the storage task to the database.
4. A method for analyzing face picture data collected by a mobile terminal is characterized by comprising the following steps:
receiving picture information collected by a mobile terminal;
storing the received picture information to a picture storage server;
recognizing face information from the collected image information, correspondingly updating the image with the recognized face information in a database, and deleting the image without the recognized face information;
matching the recognized face information with the basic information data of the personnel to obtain an analysis result and associated data, and storing the associated data;
and displaying the analysis result.
5. The method as claimed in claim 4, wherein the specific method for obtaining the analysis result by matching the recognized face information with the basic information data of the person comprises:
acquiring a characteristic value from the identified picture of the face information;
face clustering is carried out according to the similarity of the characteristic values, and similar face pictures are aggregated into a group to obtain a cluster group;
acquiring characteristic values of all data in the clustering group, and matching the characteristic values obtained by the clustering group with the characteristic values in the basic information data of the personnel;
if the similarity of the characteristic values is greater than a set value, determining that the people in the clustering group and the people in the basic information data are the same person;
and if the similarity of the characteristic values is less than or equal to a set value, judging that the people in the clustering group and the people in the basic information data are not the same person.
6. The method according to claim 4, wherein before the step of storing the received picture information in a picture storage server after the step of receiving the picture information collected by the mobile terminal, further comprises:
and acquiring URL links for calling the stored pictures, generating the number of the storage task, and storing the task number and the links of all the pictures under the storage task into a database.
7. The method of claim 4, wherein the picture storage server employs distributed storage.
8. An intelligent terminal comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, the memory being adapted to store a computer program, the computer program comprising program instructions, characterized in that the processor is configured to invoke the program instructions to perform the method according to any of claims 4-7.
9. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 4-7.
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