摘要
通过搭建硬件环境、安装软件环境、数据预处理、训练模型、实时识别人脸表情等步骤,实现基于树莓派4B的人脸表情实时识别系统。以树莓派4B作为载体,所需软件为Python3.7、OpenCV、Tensorflow和Keras。采用MiniVGG13卷积神经网络模型训练模型,在树莓派上实时识别人脸表情,以实现人脸表情的分类并通过显示器展示。该系统可以应用于人机交互、智能家居等多个领域。
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.
作者
王磊
思胜杰
杜志杰
吴悔
徐金
Wang Lei;Si Shengjie;Du Zhijie;Wu Hui;Xu Jin(Computer and Information Engineering College of the Xinjiang Agricultural University,Urumqi,Xinjiang 830052,China)
出处
《计算机时代》
2023年第12期171-174,共4页
Computer Era
基金
科技创新2030——“新一代人工智能”重大项目(2022ZD0115805)。
