Intelligent mirror based on sensory identification and information pushing

Abstract

The invention discloses an intelligent mirror based on sensory identification and information pushing. The intelligent mirror comprises a front-end display module, a signal collector module, a signalprocessor module and an intelligent scheduling rear-end module. The intelligent mirror is characterized in that the front-end display module comprises a mirror surface main body, a picture display area, a functional area and a sound box; the mirror surface main body, the picture display area and the sound box are embedded in a shell through the positioning grooves; the mirror surface main body, the picture display area and the functional area are of a double-layer structure; the signal collector module comprises a camera and a microphone array; the signal processor module comprises a parametersetting area, wherein brightness, volume and personalized soft keys are integrated in the parameter setting area, and the intelligent scheduling rear-end module adopts a miniature industrial personalcomputer. According to the intelligent mirror triggered based on face perception and voice wake-up, real-time detection and voice signal pickup can be carried out on a face image through the technology, the two hands of a user can be greatly liberated, the home environment is embellished, and the intelligent mirror can be well integrated into supporting facilities such as intelligent home furnishing.

Description

technical field [0001] The present invention relates to information interaction analysis and life information push technology, and specifically refers to a smart mirror based on sensory recognition and information push. Background technique [0002] With the development of artificial intelligence and the Internet of Things, the Internet of Everything has begun to move towards industrialization and has gradually entered thousands of households. This patented technology can be used as a part of smart home. [0003] At present, face positioning and recognition based on deep neural network technology is relatively mature, and its accuracy rate can reach more than 99%. For example, many security systems based on face recognition have reached a practical level, and facial recognition payment technology has also become popular. However, information understanding based on sensory recognition and intelligent push of personalized life information are blank and missing in the market. T...

AI Technical Summary

Problems solved by technology

[0003] At present, face positioning and recognition based on deep neural network technology is relatively mature, and its accuracy rate can reach more than 99%. For example, many security systems based on face recognition have reached a practical level, and facial recognition payment technology has also become popular. However, information understanding based on sensory recognition and intelligent push of personalized life information are blank and missing in the market. Therefore, it is necessary to launch a product combining software and hardware to serve the information push of life.

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