CN113343001A - Data storage system of face recognition terminal - Google Patents
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- 238000013075 data extraction Methods 0.000 claims description 21
- 230000005611 electricity Effects 0.000 claims description 19
- 238000012217 deletion Methods 0.000 claims description 17
- 230000037430 deletion Effects 0.000 claims description 17
- 230000000694 effects Effects 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 description 2
- PVCRZXZVBSCCHH-UHFFFAOYSA-N ethyl n-[4-[benzyl(2-phenylethyl)amino]-2-(4-phenoxyphenyl)-1h-imidazo[4,5-c]pyridin-6-yl]carbamate Chemical compound N=1C(NC(=O)OCC)=CC=2NC(C=3C=CC(OC=4C=CC=CC=4)=CC=3)=NC=2C=1N(CC=1C=CC=CC=1)CCC1=CC=CC=C1 PVCRZXZVBSCCHH-UHFFFAOYSA-N 0.000 description 2
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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Abstract
The invention discloses a data storage system of a face recognition terminal, and particularly relates to the technical field of face recognition. The device can respond to the face recognition process through two ways by arranging the module to be deleted and the quick access module, thereby ensuring that the recognition process can be responded through different ways when the face recognition is carried out, further improving the face recognition efficiency, and deleting the portrait data of the client needing to delete the information through the module to be deleted, further increasing the storage space of the central database and improving the using effect of the device.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a data storage system of a face recognition terminal.
Background
Face recognition, which is a biometric technology for identity recognition based on facial feature information of a person, uses a camera or a video camera to collect images or video streams containing a face and automatically detects and tracks the face in the images, further, in a series of related technologies for face recognition of a detected face, face data collected by a general camera is stored by a data storage system, however, the existing data storage system needs to respond to the acquired face data through a database when extracting and comparing the acquired face data, the database stores a large amount of data information, the instructions can not be quickly responded when being extracted, thereby affecting the efficiency of face recognition, and the storage space of the face recognition terminal is limited, therefore, the data storage system cannot perform efficient data storage, the running speed of the device is influenced, and the running efficiency and the processing effect are difficult to guarantee.
Disclosure of Invention
In order to overcome the above defects in the prior art, the present invention provides a data storage system of a face recognition terminal, and the technical problem to be solved by the present invention is: the existing data storage system needs to respond through a database when extracting and comparing acquired face data, a large amount of data information is stored in the database, rapid response cannot be carried out on instructions when extraction is carried out, so that the efficiency of face recognition is influenced, the storage space of the face recognition terminal is limited, so that the data storage system cannot carry out efficient data storage, the running speed of the device is influenced, and the running efficiency and the processing effect are difficult to guarantee.
In order to achieve the purpose, the invention provides the following technical scheme: a data storage system of a face recognition terminal comprises a control panel, wherein the output end of the control panel is electrically connected with the input end of an external recognition module, the output end of the external recognition module is electrically connected with the input end of a data receiving module, the output end of the data receiving module is electrically connected with the input end of a data encryption module, the output end of the data encryption module is electrically connected with the input end of a central database, the output end of the central database is electrically connected with the input end of a data access recording module, the output end of the data access recording module is electrically connected with the input end of a classified storage module, the output end of the classified storage module is electrically connected with the input end of the data access recording module, the output end of the classified storage module is electrically connected with the input end of a data extraction library, the output of data extraction storehouse is connected with the input electricity of data contrast module, the output of data contrast module is connected with control panel's input electricity, control panel's output is connected with categorised storage module's input electricity, categorised storage module's output is connected with the input electricity of data deletion module, the output of central database is connected with the input electricity of data contrast module, the output of external identification module is connected with the input electricity of data contrast module.
As a further scheme of the invention: the classified storage module is internally provided with a module to be deleted, a conventional access module and a quick access module, the output end of the quick access module is electrically connected with the input end of the data extraction library, the output end of the conventional access module is electrically connected with the input end of the data access recording module, and the output end of the module to be deleted is electrically connected with the input end of the data deletion module.
As a further scheme of the invention: the external identification module is internally provided with a portrait area segmentation module and a portrait characteristic acquisition module, and the output end of the portrait characteristic acquisition module is electrically connected with the input end of the data receiving module.
As a further scheme of the invention: the module to be deleted responds to the control panel and transmits data to be deleted in the central database to the data deletion module for deletion when the control panel identifies deletion operation, so that the data stored in the central database is reduced, and more storage space is provided for the central database.
The conventional access module can record the face feature information with less use times, when receiving the instruction, the conventional access module feeds back the instruction, and then accesses the central database through the data access recording module, so that the face feature data is extracted from the central database.
The quick access module can record frequently-used face feature information, then sends an instruction to the central database through the data access recording module, so that the frequently-used face feature information in the central database is extracted, the extracted information is transmitted to the data extraction database to be stored, when the quick access module receives the instruction, the quick access module can directly extract data from the data extraction database, and then the portrait features are compared through the data comparison module.
As a further scheme of the invention: the portrait region segmentation module can process portrait data collected by the external identification module, can divide eye regions, nose regions and mouth regions of the portrait, can perform image enhancement processing on the characteristics of the divided regions, and then transmits the divided data to the portrait feature collection module.
The portrait characteristic acquisition module can receive the data transmitted by the portrait area segmentation module, then analyzes the received data transmitted by the portrait area segmentation module, can acquire the segmentation areas and the image enhancement parts of the portrait during analysis, and then transmits the acquired data to the data receiving module.
As a further scheme of the invention: the data encryption module can process the data converted by the data receiving module, so that the converted data can be encrypted by the data encryption module, the image characteristic data can be prevented from being stolen by illegal access instructions, and the encrypted data is transmitted to the central database for storage by the data encryption module.
The central database can store portrait characteristics after data encryption, after receiving an instruction of the external identification module, the central database can analyze the portrait collected by the external identification module, then the data access recording module issues an instruction to the classification storage module, the classification storage module can respond to the data access recording module to extract portrait characteristic information in the central database or the data extraction library, and then the portrait characteristics are compared through the data comparison module.
The invention has the beneficial effects that:
1. the invention sets a module to be deleted, a conventional access module and a quick access module, when a central database receives accesses of different times, the data access recording module receives an instruction to search, when the search requirement conforms to the range of the conventional access module or the quick access module, the classification storage module accesses the central database or the data extraction database through the conforming range in the data access recording module, thereby extracting portrait characteristic data in the central database or the data extraction database and transmitting the portrait characteristic data to the data comparison module, then comparing the portrait characteristics, when the control panel identifies and deletes the operation, the module to be deleted responds to the control panel and transmits the data to be deleted in the central database to the data deletion module to delete, thereby reducing the data stored in the central database and providing more storage space for the central database, the device can respond to the face recognition process through two ways, so that the recognition process can be responded through different ways when the face recognition is carried out, the face recognition efficiency is improved, and the device can delete the portrait data of a client needing to delete information through the module to be deleted, so that the storage space of a central database is increased, the running speed of the device is improved, and the running efficiency and the processing effect of the device are guaranteed;
2. by arranging the portrait area segmentation module and the portrait characteristic acquisition module, when the control panel receives an instruction to control the external identification module to shoot the portrait characteristics, the external identification module can transmit the portrait data to the portrait area segmentation module for processing, the portrait area segmentation module can divide the eye area, the nose area and the mouth area of the portrait and can perform image enhancement processing on the characteristics of the divided areas, then the portrait area segmentation module transmits the divided data to the portrait characteristic acquisition module, then the portrait characteristic acquisition module analyzes the received data transmitted by the portrait area segmentation module, the divided areas and the image enhancement parts of the portrait can be acquired during analysis, then the acquired data is transmitted to the data receiving module, so that the external identification module can effectively divide the acquisition of the portrait through the portrait area segmentation module, the collected portrait is efficiently processed through the portrait characteristic collection module, so that the working efficiency of the external identification module is improved, the size of the collected portrait data is reduced, and the utilization efficiency of the storage space of the central database is improved.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
in the figure: the system comprises a control panel 1, an external identification module 2, a 201 portrait region segmentation module, a 202 portrait feature acquisition module, a 3 data receiving module, a 4 data encryption module, a 5 central database, a 6 data access recording module, a 7 classification storage module, a 701 to-be-deleted module, a 702 conventional access module, a 703 quick access module, an 8 data extraction library, a 9 data comparison module and a 10 data deletion module.
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
As shown in FIG. 1, the present invention provides a data storage system of a face recognition terminal, which comprises a control panel 1, wherein an output end of the control panel 1 is electrically connected with an input end of an external identification module 2, an output end of the external identification module 2 is electrically connected with an input end of a data receiving module 3, an output end of the data receiving module 3 is electrically connected with an input end of a data encryption module 4, an output end of the data encryption module 4 is electrically connected with an input end of a central database 5, an output end of the central database 5 is electrically connected with an input end of a data access recording module 6, an output end of the data access recording module 6 is electrically connected with an input end of the central database 5, an output end of the data access recording module 6 is electrically connected with an input end of a classification storage module 7, an output end of the classification storage module 7 is electrically connected with an input end of the data access recording module 6, an output end of the classification storage module 7 is electrically connected with an input end of a data extraction database 8, the output of data extraction storehouse 8 is connected with the input electricity of data comparison module 9, the output of data comparison module 9 is connected with the input electricity of control panel 1, the output of control panel 1 is connected with the input electricity of categorised storage module 7, the output of categorised storage module 7 is connected with the input electricity of data deletion module 10, the output of central database 5 is connected with the input electricity of data comparison module 9, the output of external identification module 2 is connected with the input electricity of data comparison module 9.
The classified storage module 7 is internally provided with a module to be deleted 701, a conventional access module 702 and a quick access module 703, the output end of the quick access module 703 is electrically connected with the input end of the data extraction library 8, the output end of the conventional access module 702 is electrically connected with the input end of the data access recording module 6, and the output end of the module to be deleted 701 is electrically connected with the input end of the data deletion module 10.
The external identification module 2 is internally provided with a portrait region segmentation module 201 and a portrait feature acquisition module 202, and the output end of the portrait feature acquisition module 202 is electrically connected with the input end of the data receiving module 3.
When the control panel 1 recognizes the deletion operation, the to-be-deleted module 701 responds to the control panel 1 and transmits the data to be deleted in the central database 5 to the data deletion module 10 for deletion, so as to reduce the data stored in the central database 5 and provide more storage space for the central database 5.
The regular access module 702: the conventional access module 702 can record the face feature information with a small number of uses, and when receiving the instruction, the conventional access module 702 feeds back the instruction, and then accesses the central database 5 through the data access recording module 6, so as to extract the portrait feature data from the central database 5.
The quick access module 703 can record frequently used face feature information, and then sends an instruction to the central database 5 through the data access recording module 6, so as to extract the frequently used face feature information in the central database 5, and transmits the extracted information to the data extraction database 8 for storage, and when the quick access module receives the instruction, the quick access module 703 can directly extract data from the data extraction database 8, and then compare the portrait features through the data comparison module 9.
The portrait region segmentation module 201 can process the portrait data collected by the external identification module 2, the portrait region segmentation module 201 can divide the eye region, the nose region and the mouth region of the portrait, and can perform image enhancement processing on the features of the divided regions, and then the portrait region segmentation module 201 transmits the divided data to the portrait feature collection module 202.
The portrait characteristic collection module 202 can receive the data transmitted by the portrait area segmentation module 201, analyze the received data transmitted by the portrait area segmentation module 201, collect the divided areas and the image enhanced portions of the portrait during analysis, and transmit the collected data to the data receiving module 3.
And the data encryption module 4 is used for converting the format of the received data by the data receiving module 3 after the portrait characteristic acquisition module 202 transmits the data to the data receiving module 3, transmitting the converted data to the data encryption module 4 by the data receiving module 3 for data encryption, preventing illegal access instructions from stealing portrait characteristic data, and transmitting the encrypted data to the central database 5 by the data encryption module 4 for storage.
The central database 5 can store the portrait characteristics after data encryption, after receiving the instruction of the external identification module 2, the central database 5 can analyze the portrait collected by the external identification module 2, then the data access recording module 6 issues the instruction to the classification storage module 7, the classification storage module 7 can respond to the data access recording module 6 to extract the portrait characteristic information in the central database 5 or the data extraction library 8, and then the portrait characteristics are compared through the data comparison module 9.
The face recognition process is responded through two ways, so that the recognition process can be responded through different ways when the face recognition is carried out, the face recognition efficiency is improved, the device can delete the portrait data of the client needing to delete the information through the module 701 to be deleted, the storage space of the central database 5 is increased, and the using effect of the device is improved.
The collection of the portrait by the external identification module 2 can be effectively divided by the portrait area dividing module 201 by arranging the control panel 1, and the collected portrait is efficiently processed by the portrait characteristic collection module 202, so that the working efficiency of the external identification module 2 is improved, the size of the collected portrait data is reduced, and the utilization efficiency of the storage space of the central database 5 is improved.
By arranging the data encryption module 4, when the data receiving module 3 carries out format conversion on the data transmitted by the external identification module 2, and the data receiving module 3 can transmit the received data to the data encryption module 4, the data encryption module 4 can carry out encryption processing on the received data, so that personal information can be protected, and the personal information can be prevented from being stolen by illegally accessing the central database 5.
The points to be finally explained are: although the present invention has been described in detail with reference to the general description and the specific embodiments, on the basis of the present invention, the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting 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; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A data storage system of a face recognition terminal comprises a control panel (1), and is characterized in that: the output end of the control panel (1) is electrically connected with the input end of an external identification module (2), the output end of the external identification module (2) is electrically connected with the input end of a data receiving module (3), the output end of the data receiving module (3) is electrically connected with the input end of a data encryption module (4), the output end of the data encryption module (4) is electrically connected with the input end of a central database (5), the output end of the central database (5) is electrically connected with the input end of a data access recording module (6), the output end of the data access recording module (6) is electrically connected with the input end of the central database (5), the output end of the data access recording module (6) is electrically connected with the input end of a classified storage module (7), the output end of the classified storage module (7) is electrically connected with the input end of the data access recording module (6), the output of categorised storage module (7) is connected with the input electricity of data extraction storehouse (8), the output of data extraction storehouse (8) is connected with the input electricity of data comparison module (9), the output of data comparison module (9) is connected with the input electricity of control panel (1), the output of control panel (1) is connected with the input electricity of categorised storage module (7), the output of categorised storage module (7) is connected with the input electricity of data deletion module (10), the output of central database (5) is connected with the input electricity of data comparison module (9), the output of external identification module (2) is connected with the input electricity of data comparison module (9).
2. The data storage system of the face recognition terminal as claimed in claim 1, wherein: the classified storage module (7) is internally provided with a module to be deleted (701), a conventional access module (702) and a quick access module (703), the output end of the quick access module (703) is electrically connected with the input end of the data extraction library (8), the output end of the conventional access module (702) is electrically connected with the input end of the data access recording module (6), and the output end of the module to be deleted (701) is electrically connected with the input end of the data deletion module (10).
3. The data storage system of the face recognition terminal as claimed in claim 1, wherein: the external identification module (2) is internally provided with a portrait region segmentation module (201) and a portrait feature acquisition module (202), and the output end of the portrait feature acquisition module (202) is electrically connected with the input end of the data receiving module (3).
4. The data storage system of the face recognition terminal as claimed in claim 2, wherein: when the control panel (1) identifies the deletion operation, the module to be deleted (701) responds to the control panel (1) and then transmits the data to be deleted in the central database (5) to the data deletion module (10) for deletion, so that the data stored in the central database (5) is reduced, and more storage space is provided for the central database (5);
regular access module (702): the conventional access module (702) can record face feature information with a small number of use times, when the conventional access module (702) receives an instruction, the instruction is fed back, and then the central database (5) is accessed through the data access recording module (6), so that portrait feature data are extracted from the central database (5);
the rapid access module (703) can record frequently-used face feature information, then sends an instruction to the central database (5) through the data access recording module (6), so that the frequently-used face feature information in the central database (5) is extracted, the extracted information is transmitted to the data extraction database (8) to be stored, when the rapid access module receives the instruction, the rapid access module (703) can directly extract data from the data extraction database (8), and then the portrait features are compared through the data comparison module (9).
5. The data storage system of the face recognition terminal according to claim 3, wherein: the portrait region segmentation module (201) can process portrait data acquired by the external identification module (2), the portrait region segmentation module (201) can divide eye regions, nose regions and mouth regions of a portrait, image enhancement processing can be performed on the features of the divided regions, and then the portrait region segmentation module (201) transmits the divided data to the portrait feature acquisition module (202);
the portrait characteristic acquisition module (202) can receive the data transmitted by the portrait region segmentation module (201), then analyze the received data transmitted by the portrait region segmentation module (201), acquire the divided region and the image enhanced part of the portrait during analysis, and then transmit the acquired data to the data receiving module (3).
6. The data storage system of the face recognition terminal according to claim 3, wherein: the data encryption module (4) can process the data with the format converted by the data receiving module (3), so that the converted data can be encrypted through the data encryption module (4), illegal access instructions are prevented from stealing the information of the portrait characteristic data, and the encrypted data are transmitted to the central database (5) through the data encryption module (4) for storage;
the central database (5) can store portrait characteristics after data encryption, after receiving an instruction of the external identification module (2), the central database (5) can analyze the portrait collected by the external identification module (2), then the central database issues an instruction to the classification storage module (7) through the data access recording module (6), the classification storage module (7) can respond to the data access recording module (6) to extract portrait characteristic information in the central database (5) or the data extraction library (8), and then the portrait characteristics are compared through the data comparison module (9).
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115080640A (en) * | 2022-07-26 | 2022-09-20 | 三三智能科技(日照)有限公司 | Data storage system based on PVDF piezoelectric film ultrasonic sensor and application |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090119565A (en) * | 2008-05-16 | 2009-11-19 | 중앙대학교 산학협력단 | Apparatus for face detect and recognition based on embedded system and face dectect and recognition in using the apparatus |
| KR101297295B1 (en) * | 2013-02-14 | 2013-08-14 | 우원소프트 주식회사 | Security control system by face recognition |
| CN108376256A (en) * | 2018-05-08 | 2018-08-07 | 兰州大学 | One kind is based on ARM processing platform dynamic processing face identification systems and its equipment |
| CN109214310A (en) * | 2018-08-16 | 2019-01-15 | 安徽超清科技股份有限公司 | Improve the method and face identification system of recognition of face efficiency |
| CN112052730A (en) * | 2020-07-30 | 2020-12-08 | 广州市标准化研究院 | 3D dynamic portrait recognition monitoring device and method |
-
2021
- 2021-05-27 CN CN202110584066.XA patent/CN113343001B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20090119565A (en) * | 2008-05-16 | 2009-11-19 | 중앙대학교 산학협력단 | Apparatus for face detect and recognition based on embedded system and face dectect and recognition in using the apparatus |
| KR101297295B1 (en) * | 2013-02-14 | 2013-08-14 | 우원소프트 주식회사 | Security control system by face recognition |
| CN108376256A (en) * | 2018-05-08 | 2018-08-07 | 兰州大学 | One kind is based on ARM processing platform dynamic processing face identification systems and its equipment |
| CN109214310A (en) * | 2018-08-16 | 2019-01-15 | 安徽超清科技股份有限公司 | Improve the method and face identification system of recognition of face efficiency |
| CN112052730A (en) * | 2020-07-30 | 2020-12-08 | 广州市标准化研究院 | 3D dynamic portrait recognition monitoring device and method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115080640A (en) * | 2022-07-26 | 2022-09-20 | 三三智能科技(日照)有限公司 | Data storage system based on PVDF piezoelectric film ultrasonic sensor and application |
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