Intelligent Video Surveillance System Based on Cloud Network
Liwei Li, Haibin Xie, Peng Li · Journal of Physics Conference Series · 2021
Abstract There are two shortcomings in traditional video surveillance systems: First, the amount of data is so huge that the processing, analysis, and viewing of massive data requires a lot of manpower, material resources and financial resources. Second, it is difficult to store and transmit video data. Mass video data often needs to be stored and passed to the backstage for analysis, and huge data makes data storage and transmission difficult. In view of the above trouble, this paper proposes a set of intelligent video surveillance system based on cloud network. It contains modules such as face detection, quick retrieval, etc., and uses the cloud network as a medium to transmit data and information. It can complete the automatic detection, capture, enhancement, and coding processing of the human face in the video, search and compare with the background database automatically and quickly.