Abstract
In the past few decades, the safety of human beings and their properties have been issued for survival in real life. The different smart connected communities have taken several steps using prominent components of video surveillance systems for public safety. Sometimes video surveillance system is not working properly to identify the activities/gestures of humans. Thus, the operation and maintenance teams can take the responsibility for significant quantity of time and recognizing the breakdown in a huge video surveillance system. But both useful as well as useless video data consumes data rates through the network and stock up in the cloud. It needs appearance of edge computing for video pre-processing with an edge camera. Thus, it considered the video usefulness (VU) system using special computing system such as edge computing to generate several visual data in huge video surveillance systems. The identification of failure with good bandwidth is considered to find the location of failure and forward to corresponding users. This difficulty is solved by three categories such as (a) calculation of VU values, (b) online failure finding techniques, and (c) good network bandwidth. The 290above categories lessen overload video data in network based on unused VU values.
Sign-in/Register to access full text options 
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.
