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1.
8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022 ; : 1124-1130, 2022.
Article in English | Scopus | ID: covidwho-1922657

ABSTRACT

The medical sector plays an important role in our day-to-day life, the waste generated from this field is creating a problem for the healthy survival of society. India generated nearly 18,000 tons of Bio-medical waste in four months (June 2019 to September 2019) during covid [1]. Around 20% of the waste produced is hazardous and could be toxic to humans who get exposed during manual waste segregation. Bio-medical wastes are harmful, infectious, and hazardous to humans. When it is dumped in landfills, chemicals present in it will not degrade which acts as the major source of pollutants turning the biosphere toxic. In this pandemic period, it is tough to manage this waste. Moreover, the people who are home quarantined due to coronavirus generate infectious wastes, this waste discarded as domestic waste pose several infections to the surrounding environment and workers. But it is important to manage medical waste to prevent the spread of infections but it is impractical to separate waste manually due to several disadvantages and issues. This paper aims to produce an autonomous solution in segregating of biomedical wastes without human interventions thus reducing the spread of infections to humans. © 2022 IEEE.

2.
Int. Conf. COMmun. Syst. NETworkS, COMSNETS ; : 703-708, 2021.
Article in English | Scopus | ID: covidwho-1132753

ABSTRACT

The coronavirus disease (COVID-19) pandemic has made a dire requirement for traditional and disruptive technologies to react to the flare-up across health and wellbeing areas, and technologies such as AI and robotics have been recognized as promising ways to tackle the current challenges. The COVID-19 pandemic has exhibited the solid capability of different advanced technologies that have been tried during the emergency. However, acceptability and adoptability of the latest technologies may face serious challenges due to potential conflicts with users' cultural, moral, and religious backgrounds. This paper discusses the current opportunities and challenges with respect to artificial intelligence (AI) powered robots to battle COVID-19. To diminish the danger of contamination and infection, the opportunities must be utilized during this pandemic for a better future. More deliberate measures ought to be executed to guarantee that future robotic health initiatives will have a greater impact on the pandemic and meet the most key needs to facilitate the life of individuals who are at the forefront of the crisis. © 2021 IEEE.

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