CN116129488A - Regional high-precision intelligent positioning service method and device and electronic equipment - Google Patents

Regional high-precision intelligent positioning service method and device and electronic equipment Download PDF

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Publication number
CN116129488A
CN116129488A CN202211562269.XA CN202211562269A CN116129488A CN 116129488 A CN116129488 A CN 116129488A CN 202211562269 A CN202211562269 A CN 202211562269A CN 116129488 A CN116129488 A CN 116129488A
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static
images
base
dynamic
target
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薛超
王汝杰
杜庆雨
王思俊
冯国涛
黄凯
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Tianjin Tiandy Information Systems Integration Co ltd
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Tianjin Tiandy Information Systems Integration Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification

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  • Oral & Maxillofacial Surgery (AREA)
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Abstract

The invention provides a method and a device for regional high-precision intelligent positioning service and electronic equipment, belongs to the technical field of intelligent positioning, and solves the problem of low accuracy in the prior art. The method comprises the following steps: collecting an image of a target of a registration area, and storing cluster data; collecting static images of targets in a registration area, storing the static images in a static base, comparing the static images with clustering data, and storing the static images which can be associated with the clustering data in a dynamic base; and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.

Description

Regional high-precision intelligent positioning service method and device and electronic equipment
Technical Field
The invention relates to the technical field of intelligent positioning, in particular to a method and a device for high-precision intelligent positioning service of a region and electronic equipment.
Background
With the continued advancement of society and the urgent need in various aspects for rapid and efficient automatic authentication, biometric identification technology has been rapidly developed in recent decades. The face recognition is one of the current popular biological feature recognition technologies, has the characteristics of being direct, friendly and convenient, has no obstacle in use, is easy to accept by users, is widely researched and applied, and is mainly applied to the fields of entrance control, video monitoring, criminal investigation, certificate verification and the like.
The existing face recognition technology adopts one or more faces and figures to store and compare and analyze to achieve the intelligent positioning effect when inputting target information, but more errors are generated after a period of use, so that the problem of lower accuracy is caused.
Disclosure of Invention
The invention aims to provide a method and a device for regional high-precision intelligent positioning service and electronic equipment, and the problem of low accuracy in the prior art is solved.
In a first aspect, the present invention provides a method for providing a high-precision intelligent location service for an area, including:
collecting an image of a target of a registration area, and storing cluster data;
collecting static images of targets in a registration area, storing the static images in a static base, comparing the static images with clustering data, and storing the static images which can be associated with the clustering data in a dynamic base;
and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.
Further, before the step of collecting the image of the target of the registration area and storing the cluster data, the method further comprises:
the location server is configured and registration area and location area configuration cluster cameras are associated with the location server.
Further, the method further comprises the following steps:
when the feature value of the dynamic base of the single target reaches the upper limit of the number, deleting the earliest feature value.
Further, the upper limit of the number is 100.
Further, the method further comprises the following steps:
when personnel information of a certain target is removed, deleting the static base and the dynamic base of the target.
In a second aspect, the present invention further provides an area high-precision intelligent positioning service device, including:
the acquisition module is used for acquiring images of targets in the registration area and storing cluster data;
the comparison module is used for collecting static images of targets in the registration area, storing the static images in a static base, comparing the static images with the clustering data, and storing the static images which can be associated with the clustering data in a dynamic base; and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.
In a third aspect, the present invention also provides an electronic device, including a memory, and a processor, where the memory stores a computer program executable on the processor, and the processor implements the steps of the method when executing the computer program.
In a fourth aspect, the invention also provides a computer readable storage medium storing computer executable instructions that, when invoked and executed by a processor, cause the processor to perform the method.
The invention provides a high-precision intelligent positioning service method for an area, which comprises the steps of firstly collecting images of targets in a registration area, storing cluster data, then collecting static images of the targets in the registration area, storing the static images in a static base, and comparing the static images with the cluster data to form a dynamic base. And then collecting dynamic images of the walking targets in the positioning area, comparing the dynamic images with a static base and a dynamic base to generate positioning recognition results, adding characteristic values with recognition probability higher than a preset value into the dynamic base in the process, continuously updating the dynamic base, converting cache target information into the dynamic base, generating the target dynamic base through self dynamic learning to improve positioning accuracy, and solving the problem of lower accuracy in the prior art.
Correspondingly, the intelligent positioning service device with high precision in the area, the electronic equipment and the computer readable storage medium provided by the embodiment of the invention also have the technical effects.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an area high-precision intelligent positioning service method provided by an embodiment of the invention;
fig. 2 is a schematic diagram of an area high-precision intelligent positioning service device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "comprising" and "having" and any variations thereof, as used in the embodiments of the present invention, are intended to cover non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, an embodiment of the present invention provides a method for providing a high-precision intelligent location service for an area, including:
s1: an image of a target of the registration area is acquired and cluster data is stored.
S2: the static image of the target of the registration area is collected and stored in a static base, the static image is compared with the clustering data, and the static image which can be associated with the clustering data is stored in a dynamic base.
S3: and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.
The embodiment of the invention realizes the continuous updating of the dynamic base, converts the cache target information into the dynamic base, generates the target dynamic base through self dynamic learning so as to improve the positioning accuracy and alleviate the problem of lower accuracy in the prior art.
The detailed implementation mode of the area high-precision intelligent positioning service method provided by the invention is as follows:
1. the location server is configured and registration area and location area configuration cluster cameras are associated with the location server.
And (3) building a hardware infrastructure, configuring positioning camera attributes at a target acquisition position, and completing the configuration of a basic industry platform and an intelligent positioning server. The positioning camera is a clustering attribute, and after the clustering attribute is configured, compared with the common positioning camera, the camera is quick in collecting picture pushing data, and the quantity is unlimited.
2. In the registration area, namely, the place where personnel information and personnel dynamic data are recorded, the target is ready to register and collect the face for storage. When the target comes to the registration area, the clustering camera continuously captures images and pushes the images to the intelligent positioning server, the server starts to cache the clustering data, the images are stored on a disk, and the records are stored in a database, so that the images are not related to the dynamic base.
3. And the target face is acquired and input into a bottom library of the intelligent positioning server. The static image of the target in the positioning area is collected and stored in a static base, and at the moment, the recorded face photo and the clustering cache data are automatically compared and analyzed, so that the cluster data can be directly converted into a dynamic base.
4. When the target walks in the positioning area, the dynamic image acquired by the positioning camera is compared and analyzed, the target is compared with a static base in a warehouse and is also compared with a dynamic base, when the standard of the dynamic base is input, the pictures are stored and recorded in a database, the input of the dynamic base is not met, but only the positioning result is forwarded.
The positioning area is an area in which a positioning camera is installed, and the camera acquisition data is pushed to the intelligent positioning server for personnel identification, so that the area, the area and the positioning camera can be bound one by one after successful comparison. For example: office A, office B and office C, each office environment belongs to a single area, an A area installation positioning camera a, a B area installation positioning camera B, a C area installation positioning camera C, and the target identified by the collected data pushed by the camera a and the target are in the A area.
If personnel information registration and personnel information acquisition are not performed in the registration area, comparison and identification cannot be performed, and because the target information cannot be identified and correlated and the data of the self-learning of the storage algorithm is not performed, the positioning with high identification rate cannot be ensured.
Meets the standard of the input dynamic base, and the standard refers to: and (3) comparing and identifying the personnel information acquired by the positioning camera to an intelligent server to obtain the probability, usually percentage, of target identification. If the information collected by the positioning camera is a target with a high probability, for example, more than 80%, pushing the target outwards is the positioning area where the positioning camera is located. If the target information pushed by the positioning camera is considered to be basically the target, for example, more than 95%, the dynamic base is input.
5. When the feature value of the dynamic base of the single target reaches the upper limit of the number, deleting the earliest feature value.
In this embodiment, the upper limit of the number is 100, and when the single target dynamic base reaches 100 feature values, the earliest record is deleted and the latest dynamic record is stored.
6. The purpose of storing the dynamic base into the database is to solve the problem that the high positioning recognition accuracy is still maintained after the server is restarted.
7. When personnel information of a certain target is removed, deleting the static base and the dynamic base of the target. The object deletes the base, namely deletes the object information, and at the moment, the face features of the static base are deleted, and the object of the dynamic base is also cleared.
As shown in fig. 2, the embodiment of the present invention further provides an area high-precision intelligent positioning service device, including:
the acquisition module is used for acquiring images of targets in the registration area and storing cluster data;
the comparison module is used for collecting static images of targets in the registration area, storing the static images in a static base, comparing the static images with the clustering data, and storing the static images which can be associated with the clustering data in a dynamic base; and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.
The invention also provides an electronic device comprising a memory, a processor, wherein the memory stores a computer program which can run on the processor, and the processor realizes the steps of the method when executing the computer program.
Corresponding to the above method, embodiments of the present invention also provide a computer readable storage medium storing machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the steps of the above method.
The device provided by the embodiment of the invention can be specific hardware on the equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned. It will be clear to those skilled in the art that, for convenience and brevity, the specific operation of the system, apparatus and unit described above may refer to the corresponding process in the above method embodiment, which is not described in detail herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit of the corresponding technical solutions. Are intended to be encompassed within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims (8)

1. The regional high-precision intelligent positioning service method is characterized by comprising the following steps of:
collecting an image of a target of a registration area, and storing cluster data;
collecting static images of targets in a registration area, storing the static images in a static base, comparing the static images with clustering data, and storing the static images which can be associated with the clustering data in a dynamic base;
and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.
2. The method of claim 1, wherein the step of capturing an image of the target of the registration area and storing the cluster data is preceded by the step of:
the location server is configured and registration area and location area configuration cluster cameras are associated with the location server.
3. The method as recited in claim 1, further comprising:
when the feature value of the dynamic base of the single target reaches the upper limit of the number, deleting the earliest feature value.
4. A method according to claim 3, wherein the upper limit of the number is 100.
5. The method as recited in claim 1, further comprising:
when personnel information of a certain target is removed, deleting the static base and the dynamic base of the target.
6. An area high-precision intelligent positioning service device, which is characterized by comprising:
the acquisition module is used for acquiring images of targets in the registration area and storing cluster data;
the comparison module is used for collecting static images of targets in the registration area, storing the static images in a static base, comparing the static images with the clustering data, and storing the static images which can be associated with the clustering data in a dynamic base; and collecting dynamic images of the walking target in the positioning area, comparing the dynamic images with the static base and the dynamic base to generate positioning recognition results, and adding characteristic values with the recognition probability higher than a preset value into the dynamic base.
7. An electronic device comprising a memory, a processor, the memory having stored therein a computer program executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method of any of the preceding claims 1 to 5.
8. A computer readable storage medium storing computer executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any one of claims 1 to 5.
CN202211562269.XA 2022-12-07 2022-12-07 Regional high-precision intelligent positioning service method and device and electronic equipment Pending CN116129488A (en)

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Application Number Priority Date Filing Date Title
CN202211562269.XA CN116129488A (en) 2022-12-07 2022-12-07 Regional high-precision intelligent positioning service method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211562269.XA CN116129488A (en) 2022-12-07 2022-12-07 Regional high-precision intelligent positioning service method and device and electronic equipment

Publications (1)

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CN116129488A true CN116129488A (en) 2023-05-16

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