Design and Implementation of Remote Visitor System Based on NFC Technology

Wang, Zhiqiang; Gao, Shichun; Xue, Meng; Ju, Xinyu; Wang, Xinhao; Lv, Xin; Li, Yang; Yang, Tao

doi:10.1007/978-981-15-8462-6_53

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the intelligent visitor system, the visitor information is obtained through sensors, and the cloud service of artificial intelligence (AI) is applied to integrate face recognition 13 and speech recognition 14 technologies into the system, which can greatly improve the efficiency of visitor registration and the accuracy of recorded data, making management more convenient. Recently, Wang et al 15 designed a remote visitor system based on the near field communication technology to improve the level of automation of the visitor system. Luo et al 16 developed an intelligent key management system based on face recognition technology.…”

Section: Introductionmentioning

confidence: 99%

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

Zhao

Chen

Yin³

et al. 2023

Journal of Algorithms & Computational Technology

View full text Add to dashboard Cite

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.

show abstract