ABSTRACT
Uncollected filled bins during the COVID pandemic in hospitals and at home are a common issue these days. This becomes a source of community spread of COVID-19. Here the key issue is unsanitary waste management, which can be controlled by an efficient IoT-based smart bin system to present garbage level collected in bins in 'COVID' wards through the use of ultrasonic sensor which stops rubbish from overflowing from smart bins and a gas sensor to determine if any dangerous gases are emitted. The virus and pathogens are neutralized with the help of ultraviolet rays. A rechargeable battery that runs on a solar Piezo hybrid power charges the system. As a result, the bin tends to minimize the potential of infectious illness transmitted to healthcare professionals. Smart bins will prevent overflowing waste from the bins and also stop unsanitary conditions from prevailing nearby. It is a straightforward yet incredibly valuable concept. © 2023 IEEE.
ABSTRACT
The influence of Covid-19 is reshaping our daily life. Along with protecting lives, management of contaminated covid wastes is very essential to reduce environmental and human health risks. Inappropriate management of covid wastes can cause serious possibilities of disease transmission to health workers, waste pickers, patients, and the community in general through spreading of Corona virus. Poor management of these infected wastes has created huge problems in healthcare waste handling as the amount of waste generated due to pandemic is excessively large. In this paper, we have presented an Internet of Things(IoT)-based smart framework for covid waste management. We have proposed two types of smart covid waste bins here, one for collecting covid wastes for home isolated patients and other for covid medical wastes, generated from hospitals/nursing homes, etc. These intelligent bins can capture waste information automatically by attached sensors, and the collected data is sent wirelessly to remote municipality server for further analysis. Municipality officials can take decisions such as number of bins to be deployed, at which time intervals wastes are to be cleared, etc., based on those information. The proposed framework minimizes the human interaction with the covid waste and restricts the spreading of virus. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.