Design and Application of Distributed Intelligent Campus Video Surveillance System Based on Cloud Computing
In order to improve the performance and stability of the video surveillance system and optimize the video fluency and clarity,the design and application research of the distributed intelligent campus video surveillance system based on cloud computing is carried out.Select the infrared network camera,full high definition encoder,data transmission equipment as the hardware of the system,to create a good hardware environment.Secondly,use cloud computing to design distributed intelligent campus video monitoring dynamic target detection algorithm to detect abnormal dynamic target,compress and encode video data,adopt corresponding video transmission mode,and establish system database to store and manage video data.The system test results show that the proposed system has high operating performance,high video frame rate,a large number of images transmitted per second,and the fluency and clarity of the video are significantly improved.