Self-adaptive adjustment method and system based on face recognition and readable storage medium

Abstract

The invention relates to a biological recognition technology, and particularly discloses a self-adaptive adjustment method and system based on face recognition and a readable storage medium, and the method comprises the steps: carrying out the face recognition of a user, and obtaining the facial feature data of the user; identifying the emotion of the user through the facial feature data; comparing the emotion of the user with a preset condition to obtain corresponding light and/or sound mode information; and adjusting the light and/or sound according to the light and/or sound mode information. By means of the scheme, on-site self-adaptive light and sound adjustment can be conducted according to the emotion of the user, the experience feeling of the user is improved, and on-site adjustment is more intelligent; emotion recognition is carried out through the trained model, the accuracy is higher, and the speed is higher; through linear adjustment of the light and the sound, the light and the sound are not liable to be strong and weak suddenly, so that a user is not liable to perceive, and the experience feeling of the user and the comfort level of auditory vision are improved.

Description

technical field [0001] The invention relates to a biometric identification technology, and specifically discloses an adaptive adjustment method, system and readable storage medium based on face recognition Background technique [0002] Face recognition is a kind of biometric identification technology based on human facial feature information, which uses a camera or camera to collect images or video streams containing human faces, automatically detects and tracks human faces in the images, and detects the detected The features of the face are extracted and compared with the face image features in the template library to achieve the purpose of identifying different people. Including: face image collection, face positioning, face image preprocessing and feature extraction, face recognition. [0003] Facial expression recognition is of great significance in intelligent human-computer interaction, enabling robots to understand human emotions and make them more humane. Facial ex...

AI Technical Summary

Problems solved by technology

[0004] Usually in public performance venues such as performance concert halls, it is impossible to obtain timely feedback on the expressions and actions of the audience. Improper lighting intensity and sound volume will affect the audience's emotions and reduce the audience's sense of experience

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