Abstract
Abstract: Our research paper presented below is about social distance among people in public places by utilizing Deep learning technique on captured video by at public place Camera for detecting and controlling distance between them so that virus spread can be contained. This application is created to give alarms to individuals for keeping social separation in jam-packed areas. The real time video used to analysis objects by using object detection method and YOLOv3 calculation. We can figure out whether individuals are following social separating or not and in view of that we are alarming by making alert. It is likewise chipping away at web cameras, CCTV, and so forth, and can identify individuals continuously. Thismight assist specialists with overhauling the design of public spots or to make preparatory moves to relieve high-hazard zones. The technology is useful in different fields likewise like independent vehicles, human activity acknowledgment, swarm investigation. Keywords: Social separating. Object identification. Swarm examination, Coronavirus
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 callMore From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: 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.
