CN111046837A - Face recognition equipment based on 5G framework - Google Patents
Face recognition equipment based on 5G framework Download PDFInfo
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Abstract
The invention discloses a 5G architecture-based face recognition device, which comprises a face recognition terminal, a 5G transmission network module, a 5G cloud server computing platform and a backup system, wherein the face recognition terminal acquires face data through a face acquisition module and processes the data; the face recognition terminal comprises a floodlight induction element, a dot matrix projector, an ambient light sensor, a distance sensor and an infrared lens, and 3D face model data are established by the face recognition terminal; the invention relates to the technical field of 5G face recognition. The face recognition equipment based on the 5G architecture is based on the 5G network architecture, and the transmission rate is higher; the cloud computing platform is applied for storage, so that the storage capacity is larger; the cloud server is used for storage, the openness and the universality of the system are better, and the backup system is arranged in the cloud data storage, so that the data is safer; and 3D face model data identification is adopted, so that the identification rate can be effectively improved, and the confidentiality is better.
Description
Technical Field
The invention relates to the technical field of 5G face recognition, in particular to face recognition equipment based on a 5G framework.
Background
With the large-scale commercial use of the 5G network in China, various applications based on the 5G network are continuously pushed out to be new like bamboo shoots in spring after rain. The face recognition equipment is widely applied to various fields, but the advantages of artificial intelligence (machine learning) and the like cannot be fully utilized due to poor single-machine processing capability and limited recognition range of the equipment. In view of the above problems, a 5G network-based face recognition device and a remote service system thereof are established, the security of the existing cryptography encryption technology is utilized, the computing power of a cloud server is utilized to exert the condition of artificial intelligence (machine learning), the mobile advantage and the bandwidth advantage of the 5G network are utilized, an open-source or domestic high-quality system is utilized, the performance is improved in the face recognition technology, but the deficiency of the computing power is made up through the 5G network and the cloud computing power, a basic distributed computing layout needs to be established for development, the application requirement and the personal privacy requirement of the face recognition device are finally realized, and the face recognition device which cannot be realized originally has the problems of large data transmission quantity and limited self-processing capability.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a face recognition device based on a 5G framework, which solves the problems that the original face recognition device which cannot be realized has large data transmission quantity and limited processing capacity.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a face recognition device based on a 5G framework comprises a face recognition terminal, a 5G transmission network module, a 5G cloud server computing platform and a backup system, wherein the face recognition terminal collects face data through a face collection module and processes the data;
the face recognition terminal comprises a floodlight sensing element, a dot matrix projector, an ambient light sensor, a distance sensor and an infrared lens, and 3D face model data are established by the face recognition terminal through the floodlight sensing element, the dot matrix projector, the ambient light sensor, the distance sensor and the infrared lens;
the 5G transmission network module carries out high-speed data transmission through a 5G communication network;
and the 5G cloud server computing platform matches and computes data in the cloud data storage through the server to realize face recognition.
Preferably, the backup system is used for backing up data files in the cloud data storage.
Preferably, the face recognition terminal further comprises a face acquisition module, an equipment central processing unit and a data communication interface, the face acquisition module acquires 3D model data of a face, and the 3D model data of the face is sent to the 5G transmission network module through the data communication interface.
Preferably, the 5G transmission network module comprises an embedded 5G communication module, a 5G communication network and a 5G transmission base station, the embedded 5G communication module receives face 3D model data from the data communication interface, and the face 3D model data is sent to the 5G cloud server computing platform through the 5G communication network and the 5G transmission base station.
Preferably, the 5G cloud server computing platform comprises a cloud data storage, a server and a firewall, the firewall of the 5G cloud server computing platform detects the received 3D model data of the human face through the firewall at first, the human face data in the cloud data storage is compared through the server after the detection is finished, the human face data is sent back to the 5G transmission network module through the 5G communication network after the comparison is finished, and the 5G transmission network module returns the recognition result to the data communication interface of the human face recognition terminal through the embedded 5G communication module.
Preferably, the face recognition terminal firstly performs face positioning, pre-processes the recognized face 3D face data, sends the processed face data to the central processing unit for data processing again through a face recognition algorithm, converts the processed face model data into a combined code stream, and transmits the encrypted code stream after the combined code stream algorithm is encrypted.
Preferably, the central processing unit further comprises a probability prediction system and a learning system, the probability prediction system and the learning system can perform comparison matching on the face model data to perform deep learning, and the central processing unit can also output a face recognition result.
(III) advantageous effects
The invention provides face recognition equipment based on a 5G framework. The method has the following beneficial effects:
the face recognition equipment based on the 5G architecture is based on the 5G network architecture, and the transmission rate is higher; the cloud computing platform is applied for storage, so that the storage capacity is larger; the cloud server is used for storage, the openness and the universality of the system are better, and the backup system is arranged in the cloud data storage, so that the data is safer; and 3D face model data identification is adopted, so that the identification rate can be effectively improved, and the confidentiality is better.
Drawings
FIG. 1 is a schematic structural diagram of a face recognition device implementing method of 5G architecture according to the present invention;
FIG. 2 is a schematic flow chart of the operation of the face recognition terminal of the present invention;
fig. 3 is a schematic flow chart of the face recognition judgment 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 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.
Referring to fig. 1-3, the present invention provides a technical solution: a face recognition device based on a 5G framework comprises a face recognition terminal, a 5G transmission network module, a 5G cloud server computing platform and a backup system, wherein the face recognition terminal collects face data through a face collection module and processes the data;
the face recognition terminal comprises a floodlight sensing element, a dot matrix projector, an ambient light sensor, a distance sensor and an infrared lens, and 3D face model data are established by the face recognition terminal through the floodlight sensing element, the dot matrix projector, the ambient light sensor, the distance sensor and the infrared lens;
the 5G transmission network module carries out high-speed data transmission through a 5G communication network;
and the 5G cloud server computing platform matches and computes data in the cloud data storage through the server to realize face recognition.
Preferably, the backup system is used for backing up data files in the cloud data storage.
Preferably, the face recognition terminal further comprises a face acquisition module, an equipment central processing unit and a data communication interface, the face acquisition module acquires 3D model data of a face, and the 3D model data of the face is sent to the 5G transmission network module through the data communication interface.
Preferably, the 5G transmission network module comprises an embedded 5G communication module, a 5G communication network and a 5G transmission base station, the embedded 5G communication module receives face 3D model data from the data communication interface, and the face 3D model data is sent to the 5G cloud server computing platform through the 5G communication network and the 5G transmission base station.
Preferably, the 5G cloud server computing platform comprises a cloud data storage, a server and a firewall, the firewall of the 5G cloud server computing platform detects the received 3D model data of the human face through the firewall at first, the human face data in the cloud data storage is compared through the server after the detection is finished, the human face data is sent back to the 5G transmission network module through the 5G communication network after the comparison is finished, and the 5G transmission network module returns the recognition result to the data communication interface of the human face recognition terminal through the embedded 5G communication module.
Preferably, the face recognition terminal firstly performs face positioning, pre-processes the recognized face 3D face data, sends the processed face data to the central processing unit for data processing again through a face recognition algorithm, converts the processed face model data into a combined code stream, and transmits the encrypted code stream after the combined code stream algorithm is encrypted.
Preferably, the central processing unit further comprises a probability prediction system and a learning system, the probability prediction system and the learning system can perform comparison matching on the face model data to perform deep learning, and the central processing unit can also output a face recognition result.
When in use, the face recognition terminal establishes 3D face model data through a floodlight sensing element, a dot matrix projector, an ambient light sensor, a distance sensor and an infrared lens, a face acquisition module acquires 3D face model data, the 3D face model data is sent to a 5G transmission network module through a data communication interface, an embedded 5G communication module receives the 3D face model data from the data communication interface, the 3D face model data is sent to a 5G cloud server computing platform through a 5G communication network and a 5G transmission base station, a firewall of the 5G cloud server computing platform detects the received 3D face model data through the firewall, the firewall compares the detected 3D face model data with the face data in a cloud data storage through the server after the detection is finished, and the 5G transmission network module is sent back again through the 5G communication network after the comparison is finished, the 5G transmission network module returns the recognition result to the data communication interface of the face recognition terminal through the embedded 5G communication module, and the central processing unit outputs the face recognition result;
the face recognition terminal firstly carries out face positioning, pre-processes 3D face data of a recognized face, sends the processed face data to the central processing unit for data processing again through a face recognition algorithm, converts the processed face model data into a combined code stream, transmits the encrypted algorithm after the combined code stream algorithm is encrypted, and can carry out comparison matching on the face model data by the probability prediction system and the learning system for deep learning so as to improve the accuracy of face recognition;
when the face recognition terminal works, the encrypted combined code stream is sent to a data communication interface, a user judges whether to continue working or not, when the user judges whether the face recognition process is not continued or not, when the user judges that the face recognition process is not continued, an encrypted data block is transmitted to a server through a 5G network and an encrypted key is transmitted to the server, a cloud server judges whether the key is passed or not, when the judgment is passed, the 5G server returns request data, when the judgment is not passed, the user is inquired whether to continue recognition or not, when the user selects not, the process is ended, and when the selection is yes, the face recognition terminal enters the original working process again.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation. The use of the phrase "comprising one of the elements does not exclude the presence of other like elements in the process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a face identification equipment based on 5G framework, includes face identification terminal, 5G transmission network module, 5G high in the clouds server computing platform and backup system, its characterized in that: the face recognition terminal collects face data through a face collection module and processes the data;
the face recognition terminal comprises a floodlight sensing element, a dot matrix projector, an ambient light sensor, a distance sensor and an infrared lens, and 3D face model data are established by the face recognition terminal through the floodlight sensing element, the dot matrix projector, the ambient light sensor, the distance sensor and the infrared lens;
the 5G transmission network module carries out high-speed data transmission through a 5G communication network;
and the 5G cloud server computing platform matches and computes data in the cloud data storage through the server to realize face recognition.
2. The face recognition device based on the 5G architecture according to claim 1, wherein: the backup system is used for backing up data files in the cloud data storage.
3. The face recognition device based on the 5G architecture according to claim 1, wherein: the face recognition terminal further comprises a face acquisition module, an equipment central processing unit and a data communication interface, the face acquisition module acquires 3D model data of a face, and the 3D model data of the face is sent to the 5G transmission network module through the data communication interface.
4. The face recognition device based on the 5G architecture as claimed in claim 3, wherein: the 5G transmission network module comprises an embedded 5G communication module, a 5G communication network and a 5G transmission base station, the embedded 5G communication module receives face 3D model data from the data communication interface, and the face 3D model data are sent to the 5G cloud server computing platform through the 5G communication network and the 5G transmission base station.
5. The face recognition device based on the 5G architecture as claimed in claim 4, wherein: the 5G cloud server computing platform comprises a cloud data storage, a server and a firewall, the firewall of the 5G cloud server computing platform detects received face 3D model data through the firewall at first, the face data in the cloud data storage is compared through the server after the detection is finished, the face data is sent back to the 5G transmission network module through the 5G communication network after the comparison is finished, and the 5G transmission network module returns a recognition result to a data communication interface of the face recognition terminal through the embedded 5G communication module.
6. The face recognition device based on the 5G architecture according to claim 1, wherein: the face recognition terminal firstly carries out face positioning, pre-processes recognized face 3D face data, sends the processed face data to the central processing unit for data processing again through a face recognition algorithm, converts the processed face model data into a combined code stream, and transmits an encryption algorithm after the combined code stream algorithm is encrypted.
7. The face recognition device based on the 5G architecture according to claim 6, wherein: the central processing unit also comprises a probability prediction system and a learning system, the probability prediction system and the learning system can carry out comparison matching on the face model data to carry out deep learning, and the central processing unit can also output the face recognition result.
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CN113326814A (en) * | 2021-02-22 | 2021-08-31 | 王先峰 | Face recognition equipment based on 5G framework |
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