Face recognition system based on edge computing framework

A face recognition system and edge computing technology, applied in the field of face recognition system, can solve the problems of difficulty in meeting the function integration and expansion of face recognition system, low reliability and low cost performance of the system, and achieve large-scale and fast face recognition , the effect of reducing processing pressure, enhancing flexibility and robustness

Pending Publication Date: 2022-01-07
GENERAL HOSPITAL OF PLA
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Problems solved by technology

[0004] However, the face recognition system in the related art uses general-purpose equipment for full-stack development and deployment, and uses a conventional PC (Personal Computer) computer or laptop as an algorithm processing platform, but this method has low reliability and low system cost performance. At the same time, the combination of software and hardware is limited, which makes it difficult to meet the function integration and expansion of the face recognition system

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  • Face recognition system based on edge computing framework
  • Face recognition system based on edge computing framework
  • Face recognition system based on edge computing framework

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Embodiment Construction

[0026] In order to enable those skilled in the art to better understand the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.

[0027] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present disclosure and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such th...

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Abstract

The invention provides a face recognition system based on an edge computing framework, and the system comprises: a server which is configured to be used for storing a face database and a face recognition model library, wherein the face database comprises registered identity information and registered face feature information associated with the registered identity information, and the face recognition model library comprises at least one AI model; and at least one client which is in communication connection with the server, wherein the client is configured to be used for collecting video images in real time and performing face recognition on the video images frame by frame according to the registered identity information, the registered face feature information and the AI model. By adopting the face recognition system disclosed by the invention, high-efficiency and high-performance edge calculation can be carried out through the client, large-scale rapid face recognition is realized, the processing pressure of the server is greatly reduced, and meanwhile, the flexibility and robustness of the system to deal with large-scale application and lightweight deployment can be enhanced.

Description

technical field [0001] The present disclosure generally relates to the technical field of data processing, and specifically relates to a face recognition system based on an edge computing framework. Background technique [0002] In recent years, with the continuous development of deep learning and computing power operators, face recognition has also made rapid progress. Compared with traditional identification methods such as password identification and fingerprint identification, face recognition has the advantages of fast processing speed, high accuracy, no contact, easy integration and expansion, etc. New application service models such as ride-hailing and face-swiping shopping. [0003] At present, face recognition systems for various application scenarios are gradually showing a large-scale, lightweight and modular development trend. For example, during the normalization and precision development of epidemic prevention and control, large-scale rapid face recognition h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/94G06V40/16
Inventor 郭华源何昆仑刘敏超鲁媛媛杨菲菲李宗任
Owner GENERAL HOSPITAL OF PLA
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