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Distributed face recognition method and device, equipment and medium

A face recognition and distributed technology, applied in the field of face recognition, can solve the problems of network congestion, the number of face databases cannot meet the large-scale face recognition, and affect the recognition performance, so as to increase the number of faces and improve the performance of people. Face recognition performance and the effect of face recognition stability

Pending Publication Date: 2021-05-28
CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the above two methods have the following problems. For the first method: limited by the computing power and storage capacity of the front-end equipment, the number of locally stored face databases cannot meet large-scale face recognition, and external devices are required for face recognition. The import of face images or the synchronization of face images through the network makes the maintenance and management costs extremely high; for the second method: although it can meet large-scale face recognition, it is extremely difficult for multiple devices to request the server for face recognition concurrently. It is easy to cause network congestion and high delay, and it will also cause excessive computing pressure on the server, affecting recognition performance

Method used

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  • Distributed face recognition method and device, equipment and medium
  • Distributed face recognition method and device, equipment and medium
  • Distributed face recognition method and device, equipment and medium

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Embodiment 1

[0043] In order to more clearly illustrate the process of performing face recognition on the collected face images to be recognized in the distributed face recognition method provided by the embodiment of the present invention, the face in the distributed face recognition method in the embodiment of the present invention is first described below The data storage process is described.

[0044] Figure 1A It is a schematic flow chart of storing face data in a distributed face recognition method provided by an embodiment of the present invention. The embodiment of the present invention is applicable to the scene of face recognition, and the method can be executed by a distributed face recognition device, which can be realized by software and / or hardware, and can be integrated into the first front-end device, the first front-end The device is any device in the station that has the functions of collecting face images and face recognition. Preferably, the first front-end device is ...

Embodiment 2

[0063] It can be seen from the above introduction that the embodiment of the present application extracts the facial features of the newly entered facial images through the first front-end device, and performs real-time synchronization of the facial features of the newly entered facial images to each front-end in each station based on the server Devices, and then based on the synchronized face features, can lay the foundation for distributed face recognition. Based on the storage and synchronization scheme of newly entered face features described in the above embodiments, the distributed face recognition method provided by the embodiments of the present invention will be described below. Such as figure 2 As shown, the method includes the following steps:

[0064] S201, extracting the face features of the collected face image to be recognized, and determining all the face data blocks that can be stored by the first front-end device in the station to which it belongs, so as to...

Embodiment 3

[0079] image 3 It is a schematic flowchart of a distributed face recognition method provided by Embodiment 3 of the present invention. Specifically, after the first recognition array is constructed in the aforementioned embodiment, it also includes: when it is determined that the value of each position in the first recognition array is non-empty, concurrently sending the facial features to each available The first front-end device, so that each available first front-end device performs face recognition on the facial features to obtain a recognition result. Combine below image 3 , the above situation of the embodiment of the present invention will be described. Such as image 3 As shown, the method includes the following steps:

[0080] S301, extracting the face features of the collected face image to be recognized, and determining all the face data blocks that can be stored by the first front-end device in the station to which it belongs, and constructing and matching th...

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Abstract

The invention discloses a distributed face recognition method and device, equipment and a medium. The method comprises the following steps: extracting face features of an acquired face image to be recognized, determining all face data blocks which can be stored by first front-end equipment in a station, and constructing a first recognition array with the same number and length as the face data blocks on a server based on all determined face data blocks; if it is determined that the value of any position in the first recognition array is null, updating the first recognition array based on all face data blocks, which can be stored by the second front-end equipment, in the adjacent station of the station to which the first recognition array belongs; if it is determined that the value of any position in the updated first recognition array is null, sending the face features to a server, so that the server carries out face recognition on the face features in parallel based on the stored face data blocks. According to the invention, the number of local faces of the front-end equipment is increased, and the face recognition performance and the face recognition stability are improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of face recognition, and in particular, to a distributed face recognition method, device, equipment, and medium. Background technique [0002] With the continuous development of artificial intelligence technology, face recognition technology has gradually matured and moved from the research stage to the industrial application stage. Such as access control, time attendance and security check, especially in the field of urban rail transit in the rail transit industry. Among them, facial recognition (Facial Recognition) is to obtain the user's face image through visual acquisition equipment, and then use relevant algorithms to analyze and process the facial features, face shape and angle on the face image to extract facial features, and finally The face feature is compared with the face in the face database to determine the real identity of the user. [0003] At present, the following me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F16/27
CPCG06F16/27G06V40/161G06V40/168G06V40/172
Inventor 陈亮李智宇王煜恺丁跃伟王松旭孙越师进张清华王明晰
Owner CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD