Real time facial expression recognition system based on Raspberry Pi 4B
A real time facial expression recognition system based on Raspberry Pi 4B is realized through steps such as building hardware environment,installing software environment,data preprocessing,training models,and recognizing facial expressions in real time.Raspberry Pi 4B is used as the carrier,the required software is Python3.7,OpenCV,Tensorflow and Keras,and MiniVGG13 convolutional neural network model is used to train the model.Facial expressions are recognized and classified in real time on Raspberry Pi and displayed on the monitor.This system can be applied in multiple fields such as human-computer interaction and smart home.
NETL
NSTL
万方数据
维普
