Design of intelligent visitor system based on cloud and edge collaborative computing
| Autor: | Xiao-Feng Zhao, Zi-Heng Chen, He-Feng Yin, Xiao-Jun Wu |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Algorithms & Computational Technology, Vol 17 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1748-3026 17483026 |
| DOI: | 10.1177/17483026231169154 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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