Design of intelligent visitor system based on cloud and edge collaborative computing

被引:0
作者
Zhao, Xiao-Feng [1 ,2 ]
Chen, Zi-Heng [3 ]
Yin, He-Feng [4 ]
Wu, Xiao-Jun [3 ,5 ]
机构
[1] Wuxi Vocat Inst Commerce, Sch Internet Things & Artificial Intelligence, Wuxi, Peoples R China
[2] Jiangsu Prov Engn Technol Ctr Business Intelligenc, Wuxi, Peoples R China
[3] Jiangnan Univ, Sch Artificial Intelligence & Comp Sci, Wuxi, Peoples R China
[4] Wuxi Univ, Sch Automat, Wuxi, Peoples R China
[5] Jiangnan Univ, 1800 Lihu Ave, Wuxi 214122, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial intelligence cloud; edge computing; face recognition; speech recognition; INTERNET; THINGS;
D O I
10.1177/17483026231169154
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the maturity of face recognition and speech recognition technologies, artificial intelligence (AI) cloud and edge computing collaboration have become a new research direction. In many enterprises and government departments, there are certain management requirements for visitors, usually using traditional manual records or computer-aided manual management. These methods require certain personnel management costs, and they face underlying problems concerned with personal identification as well as security. In this paper, we analyze the functions and features of cloud-edge collaboration and discuss the edge intelligence technology in the cloud-edge collaboration environment. Then by combining the architecture of the intelligent visitor system, we apply AI cloud and edge computing to collaboratively solve critical issues faced by the visitor system, such as real-time and data authenticity. The intelligent visitor system employs a Rockchip RK3399 motherboard, ID card reader, microphone array, camera, and other hardware to build an edge computing environment. Combined with Baidu AI cloud, the system has an intelligent visitor system with face recognition and voice interaction capabilities, which can realize verification of visitor information, voice self-registration, and automatic measurement of visitors' body temperature and other functions.
引用
收藏
页数:12
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