Abstract
Abstract Traditional video surveillance is difficult to effectively cope with real-time interaction between end side devices of over ten thousand scale and data centers, and these devices are widely dispersed and deployed on a large scale. They cannot meet the needs of diverse scenarios monitoring and smart applications such as security, urban comprehensive management, ports, mines, water conservancy, power, industrial manufacturing and other fields. Based on the analysis of the problems in the popular intelligent video surveillance system, this paper proposes the design mode of an intelligent video surveillance intelligent analysis platform (IAPVS) based on distributed edge computing by improving the existing centralized video cloud computing architecture.This design pattern provides a new overall design solution for the development of platform of intelligent video analysis suitable for diverse scenarios and smart application fields.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
