LCOS architecture-based face recognition AR glasses and face recognition method thereof

Abstract

The invention discloses an LCOS architecture-based face recognition AR glasses and a face recognition method thereof. The LCOS architecture-based face recognition AR glasses comprises an integrated glasses frame 1, a glasses main body 2 positioned at a glasses frame at one side of the glasses frame 1 and the glasses legs 3 positioned at the other side of the glasses frame 1; the nose pads 4 are fixedly connected to the lower ends of the glasses legs 3, two gaskets 5 are arranged at the lower ends of the nose pads 4, and the camera shooting holes 6 are formed in the glasses main body 2; the glasses main body 2 comprises a camera shooting module, a data processing module, a communication module and a display module, and the display module, the camera shooting module and the data processing module are all connected with the communication module. According to the invention, when a public security police wears the glasses in daily patrol, a target criminal suspect can be quickly and accurately found in a public place with a large and dense people flow, the case handling efficiency of the public security police is improved, a command center can timely grasp the on-site condition, a capture scheme can be quickly deployed, and the urban safety is greatly improved.

Description

technical field [0001] The present invention belongs to the field of AR technology. It specifically relates to a face recognition AR glasses based on LCOS architecture and a face recognition method thereof. Background technique [0002] Augmented Reality (AR for short) is a technology that calculates the position and angle of the camera image in real time and adds the corresponding image. The goal of this technology is to put the virtual world on the screen and interact with the real world. With the development of technology in recent years, all kinds of AR glasses have also begun to flood into the public's field of vision. In the field of safe cities, the public security department combined with face recognition technology can identify fugitives more quickly and accurately during patrols in railway station squares. [0003] Although many of the existing prism-type AR glasses also use the LCOS architecture, their imaging optical path uses a doublet lens combined with a sing...

AI Technical Summary

Problems solved by technology

[0003] In the existing prism-type AR glasses, although many of them also use the LCOS architecture, the imaging optical path uses a doublet lens combined with a single lens. In such an optical path design, the structure is very complicated.

The network of police face recognition AR glasses is vulnerable to security threats such as data tampering and attacks, and images are often lost and cannot be updated in time, and there is a problem that the accuracy of shooting scene depth information is not high

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