Recording and lighting control system and method based on face recognition and expression recognition

Abstract

The invention discloses a recording and lamplight control system and method based on face recognition and facial expression recognition. The system comprises a face image collection unit, a storage, an operation processing unit, a wireless transmission module and a lamplight theme controller. The face image collection unit is used for collecting face images and converting the collected face images into feature data to be stored; the storage is used for facial storing expression features which are offline trained and a face registering template collected primarily; the operation processing unit achieves face recognition and facial expression recognition, and sends out corresponding wireless control signals through the wireless transmission module according to a recognition analysis result; the lamplight theme controller stores lamplight themes suitable for different moods and receives controls signals sent by the wireless transmission module, and lamplight theme control signals conforming to the corresponding moods are generated and transmitted to the lamplight system. Mood recording and household control based on face recognition and facial expression recognition are achieved, the good experience can be brought to a user, and entertainment life of a home is enriched.

Description

technical field [0001] The invention relates to a recording and lighting control system and method based on face recognition and expression 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 expression recognition extracts features from static ex...

AI Technical Summary

Problems solved by technology

[0005] At present, most of the lighting control systems on the market adopt the traditional control method. The switching of lighting scenes is completed through some human operations, and the lighting theme cannot be automatically changed according to the user's emotions and preferences.

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