摘要
文章针对大屏展示系统只能通过传统键盘鼠标等方式进行交互,利用树莓派与物联网技术开发了人机交互图像识别系统,完成了手势识别和人脸识别等功能。通过树莓派中Camera函数来获取实时的线下生产环境的生产数据,使用OpenCV进行人脸识别与手势识别。并将收集到的信息转化成Json数据发送到服务器后端,有效提高了用户体验,具有一定程度的创新。
For the large screen display system can only interact through traditional keyboard and mouse,the humancomputer interactive image recognition system was developed using Raspberry Pi and Internet of Things technology,and all the functions such as gesture recognition and face recognition are completed.The camera function in the Raspberry Pi was used to obtain real-time production data for the offline production environment,and face recognition and gesture recognition were performed using OpenCV.And the collected information into Json data sent to the back end of the server,effectively improving the user experience,has a certain degree of innovation.
作者
董志勇
李方方
徐志恒
Dong Zhiyong;Li Fangfang;Xu Zhiheng(Nanjing Institute of Information Technology,Nanjing 210043,China)
出处
《无线互联科技》
2022年第5期93-95,共3页
Wireless Internet Technology
基金
2021年度江苏省高校“青蓝工程”优秀青年骨干教师资助项目,项目编号:苏教师[2021]11号
2021年度江苏省大学生创新训练项目,项目编号:202113112017Y。
关键词
图像识别
数据大屏
手势识别
image recognition
data big screen
gesture recognition