Design And Implementation Of Video Monitoring System Based On Family Scene

In recent years,with the rapid development of internet technology and the major breakthrough of artificial intelligence technology represented by deep learning,video surveillance systems have shown a trait of being networking and highly intelligent.Video surveillance systems are gradually integrated into ordinary people's homes.Video surveillance systems have become an important part of smart homes.People pay more and more attention to the safety of home,and video surveillance system has huge market value and research value in the field of home security.After researching mature home video surveillance systems on the market,this thesis takes fluorite network cameras as an example and finds that its video transmission technology is mature,but its streaming protocol is a private protocol,which does not support the need for multiple platforms to watch at any time.At the same time,it takes the form of server forwarding streaming media,increasing the pressure on the server.the Video data is mainly local storage card,and its security and reliability are insufficient,it is not structured.This thesis focuses on the above shortcomings,and independently designed and implemented a new home video surveillance system,incuding video acquisition and transmission,cloud storage server and APP system.The specific characteristics are as follows:1)Considering the security of the data in the home scene and the structure of the video data,the video acquisition and transmission system only uploads short videos to the cloud storage server for storage,and does not cache them locally.At the same time,the video data is structured to achieve a simple Face recognition function.2)When considering that the system needs to adapt to the use of multiple platforms,the HLS protocol is applied to video streaming.The CDN technology perfectly supports the HLS protocol to increase the compatibility of the system.At the same time,it is optimized for the high latency disadvantage of the HLS protocol to adapt to Monitoring requirements.3)Considering that the video surveillance in the home scene is mainly based on the following traffic,reducing server bandwidth and cost,adopting the method of pulling the stream for the network camera to obtain the video stream,has a minimalist system architecture,supports HLS real-time monitoring and historical video playback.The video surveillance system designed for the home scene in this thesis uses HLS-based streaming media technology,which improves the compatibility of the monitoring system on various platforms,which is beneficial to use CDN technology to accelerate;the use of streaming media pull technology solves the problem of increasing server bandwidth pressure when the server pushes the stream;Use cloud storage to ensure data security.Finally,the video data structuring technology based on face recognition is added.