Authors :
Baibhav Pathy
Volume/Issue :
Volume 8 - 2023, Issue 5 - May
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://rb.gy/8p8og
DOI :
https://rb.gy/8p8og
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.
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.
