Publication Date: 2023/05/26
Abstract: The world has fallen in the crunches of a deadly virus that has caused pandemics and recessions all over the world. It has forced even the superpower country like USA and RUSSIA to go into lockdown and thus decrease the Gross domestic product (GDP) of the economy. So to prevent the further spread of the virus, Awareness was required until the vaccine with full functionality of giving us immunity against any variant of covid. One way to stop the further spreading of the virus is social distancing. In this paper, we are implementing a deep-learning algorithm along with Yolo V5. This project will use OpenCV, Deep Learning, Computer Vision, and YOLO V5 to work together and through surveillance cameras to create social distance between people by constantly analyzing video input that will be fed into the designed system through the surveillance cameras and will notify the authorities if any social distancing violations occur. The proposed method can assist save money and save the authorities who are required to keep people maintaining social distance from getting infected with covid-19. It can also substantially reduce covid19 deaths.
Keywords: No Keywords Available
DOI: https://rb.gy/8p8og
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY850.pdf
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