Edge based Prevention System for Crowd Overcrowding
Shanjin Yu, Feng Gao, Mingjun Wang · 2020
At present, it has become more and more important to prevent crowd overcrowding, especially under the current situation of the coronavirus. In order to process this situation, the governments of world take a lot of manpower and material resources to prevent the crowd overcrowding. Now, there is no effective method to prevent crowd overcrowding in real-time. As the emergence of edge computing, creating a prevention system between edge computing and cloud computing becomes a possibility. This paper introduces a crowd congestion prevention system based on edge, which combines object detection and cluster analysis, and presents the analysis results to the alarm system in the cloud.