Intelligent biometric monitoring assembly and monitoring method based on double iris, three-dimensional face and voiceprint recognition

Abstract

The invention belongs to the field of intelligent security control, and in particular relates to an intelligent biological feature monitoring assembly and monitoring method based on double irises, three-dimensional face and voiceprint recognition. It includes: a biometric feature collection unit and an integrated circuit part; the biometric feature collection unit includes a mechanical part and an optical part, and the invention creatively adopts double iris security identification and combines periscope zoom components and MEMS zoom components to realize cone personalization Long-sentence zooming, the structure can achieve fast zooming and long-distance zooming under the condition of compressing the thickness of the structure at the largest scale. Therefore, the present invention has the following advantages: the present invention adopts a high-speed zoom machine vision device imitating the human eye, which can automatically adapt to the height and distance of different people, quickly lock the face of the person, and perform high-speed zoom to adjust the image to the best state without special cooperation It can correctly and quickly recognize facial and eye features.

Description

technical field [0001] The invention belongs to the field of intelligent security control, and in particular relates to an intelligent biological feature monitoring assembly and monitoring method based on double irises, three-dimensional face and voiceprint recognition. Background technique [0002] At present, most biometric recognition devices on the market have relatively simple recognition methods. For example, face recognition devices cannot realize iris recognition at the same time, or cannot realize voiceprint recognition and artificial intelligence voice communication at the same time. [0003] At present, most of the biological visual recognition devices on the market are fixed-focus cameras or traditional zoom cameras. Traditional zoom cameras need to adjust the distance of multiple sets of zoom lenses during the zooming process, so they are large in size and cannot be used in a limited space. In addition, traditional zoom cameras need to adjust the distance of mul...

AI Technical Summary

Problems solved by technology

[0002] At present, most of the biometric recognition devices on the market have relatively simple recognition methods. For example, face recognition devices cannot realize iris recognition at the same time, or cannot realize voiceprint recognition and artificial intelligence voice communication at the same time.

[0003] At present, most of the biological visual recognition devices on the market are fixed-focus cameras or traditional zoom cameras. Traditional zoom cameras need to adjust the distance of multiple sets of zoom lenses during the zooming process, so they are large in size and cannot be used in a limited space. In addition, traditional zoom cameras need to adjust the distance of multiple sets of zoom lenses during the zooming process, so fast zooming cannot be achieved. If the face and eyes are recognized at the same time, there will be two slow focusing. In the actual use process It is very inconvenient to need people to cooperate and wait. Although the fixed-focus camera can be made into a small size, it needs people to cooperate well in the identification process to clearly and accurately identify it. will recognize the error

[0004] When the biological visual recognition devices currently on the market encounter poor lighting environments, they will not be able to identify and identify errors, such as in (backlight environment, strong light environment, overexposed supplementary light environment, light and dark light transition environment) Bottom) Intelligent dimming cannot be realized

[0005] At present, the image acquisition cameras of most biological visual recognition devices on the market are fixed positions, but according to the height of the person, if they are close, if they are too high, they will be blocked by the body, and if they are too short, they will not be able to shoot, so they cannot be automatically adapted. Accurate collection of facial features for different heights

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