ABSTRACT
The first case of COVID-19 was found in December 2019 which was followed by an exponential growth in the of people infected worldwide. On March 11, 2020 world Heath organisation declared the outbreak of coronavirus a global pandemic and this situation continues till date, i.e. May 2021. The scarcity of resources and knowledge about treating COVID-19 and with an increasing number of infected persons and deaths has made government bodies worldwide struggle to save the lives of people as well as to keep healthcare professionals safe from the virus. For almost a year, people have had to adapt to the new normal and follow some safety guidelines to keep themselves from getting infected. In such difficult times, technological advancements have played a vital role, be it diagnosis, treatment, contact tracing containment of the spread or even helping people with the new normal lifestyle. In this paper, we have discussed the type of technologies that have emerged to fight against COVID-19. We have also discussed the strengths, weaknesses opportunities and threats with the help of SWOT analysis of the technology used in various fields mentioned. © 2022 IEEE.
ABSTRACT
As per researchers worldwide, the practice of social distancing and wearing masks may have to be continued till the end of 2022 or even after considering the deadly and unpredictable nature of the COVID-19 virus that has gripped our world. In spite of all the rules and regulations in place we still find people breaking the rules. Also, it is to be noted that many officials who are tasked with enforcing the rules have either been severely affected or have lost their lives. Our work focuses on creating a holonomic robot, that can detect violations to mask and social distancing rules and generate alerts. Our work uses OpenCV and CNN model for face mask detection and pre-trained Mobile-Net Single Shot Object Detection (SSD) model to detect people and check if social distancing is adhered to. © 2021 IEEE.