Litcius/Paper detail

An Intelligent Internet of Things (IoT) based Automatic Dry and Wet Medical Waste Segregation and Management System

Karan Belsare, Manwinder Singh

20222022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)13 citationsDOI

Abstract

Currently, with the pandemic wave, the collecting of medical waste is becoming a problem. Unwanted rubbish dumping on the edges of cities and towns causes damage, and these overflowing landfills are impossible to restore. Moreover, the manual labour required by the current technology may result in the individual using it developing a chronic illness. The suggested system's noble goals include creating an automated system to save the lives of countless people and create a cleaner, greener society. The main goal of this paper is an intelligent Internet of Things (IoT) based dry and wet waste separation and management process of medical waste material. It detects wastes in dustbins with the aid of using sensor devices. As soon as it is detected, its waste substances will be separated with sensors. Right away, information is transferred to cloud databases via IoT, making it easier to efficiently and shrewdly remove trash from the trash can. The proposed approach will prevent harmful wastes from taking numerous lives.

Topics & Concepts

Internet of ThingsCloud computingProcess (computing)Medical wasteDry cleaningComputer scienceThe InternetHazardous wasteWaste managementComputer securityBusinessInternet privacyEngineeringWorld Wide WebOperating systemHealthcare and Environmental Waste ManagementMunicipal Solid Waste ManagementScientific and Engineering Research Topics