Deep-learning human face recognition system

A face recognition system and face recognition technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as unsatisfactory acquisition conditions, uneven lighting, and reduced recognition rate, and achieve good face verification results , reduce labor costs and improve safety

Pending Publication Date: 2018-07-31
深圳安邦科技有限公司
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AI Technical Summary

Problems solved by technology

However, if the user does not cooperate, the acquisition conditions are not ideal (such as uneven lighting, yin and yang faces, low resolution, etc.), and there are various occlusions, the recognition rate will be greatly reduced.

Method used

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  • Deep-learning human face recognition system
  • Deep-learning human face recognition system

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Embodiment Construction

[0016] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. .

[0017] Such as Figure 1-2 The shown deep learning face recognition system includes a face recognition gate-post all-in-one machine, a face recognition witness comparison system and a face recognition human-shaped gate. The human-shaped gates for face recognition are respectively connected to the load balancer through Ethernet, and the load balancer implements face data analysis through the algorithm cloud. The deep learning system includes a natural light processing module, a front face detection module and a data optimization module.

[0018] Further, the natural light processing module includes learning a canonical view (canonical view, standard fr...

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Abstract

The invention discloses a deep-learning human face recognition system which comprises a human face recognition gate entry integral machine, a human face recognition face-certificate comparison systemand a human face recognition body shape gate, wherein the human face recognition gate entry integral machine, the human face recognition face-certificate comparison system and the human face recognition body shape gate are respectively connected with a load balancer through an Ethernet; the load balancer is used for carrying out human face data analysis through algorithm cloud. A deep learning system comprises a natural light processing module, a front face detection module and a data optimizing module. The deep-learning human face recognition system is scientific and reasonable in design, monitoring systems and face-certificate comparison systems can be improved, the security of a security system can be effectively improved, and the system is wide in application situations.

Description

technical field [0001] The present invention relates to a face recognition technology, in particular to a deep learning face recognition system. Background technique [0002] The research on face recognition technology began in the 1960s. After the 1980s, with the advancement of computer technology and optical imaging technology, it developed rapidly. In the late 1990s, some commercial face recognition systems gradually entered the market. In recent years, social security information has attracted much attention, and the rapid development of information retrieval, video surveillance, mobile payment and various entertainment applications has further promoted the demand for face recognition technology. Most of the existing face recognition systems can achieve satisfactory results when the user cooperates and the acquisition conditions are ideal. However, if the user does not cooperate, the acquisition conditions are not ideal (such as uneven lighting, yin and yang faces, low ...

Claims

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Application Information

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IPC IPC(8): G07C9/00G06K9/00G06N3/08
CPCG06N3/08G07C9/37G06V40/168
Inventor 王海龙
Owner 深圳安邦科技有限公司
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