IoT Based Automated Waste Management System for Sustainable Cities

Abstract

Innovative approaches are required to effectively manage waste disposal and recycling in light of the growing global waste crisis. Conventional waste management systems frequently require real-time data and inefficiencies to be addressed, which results in inefficient use of resources and damage to the environment. In order to assess waste management, this paper suggests utilizing data analytics and Internet of Things (IoT) technology advancements along with the integration of smart bins. Installing compactors to optimize space usage, sensors to detect fill levels, and connectivity to send real-time data to a central management system are all features of smart bins. This makes it possible for waste management firms and municipalities to keep an eye on waste generation trends, improve collection routes, and more efficiently allocate resources. Furthermore, by adding features like gamification and reward programs, smart bins can encourage recycling and promote public engagement in sustainable waste management practices. Comparing smart bins to conventional waste management techniques reveals a number of benefits. Municipalities that offer actionable insights into waste generation and disposal behaviors can lower operating costs, minimize their impact on the environment, and improve overall service quality. Additionally, incorporating smart bins improves the quality of life for locals and promotes sustainability in line with larger smart city initiatives. This study looks at the technical aspects of smart bin systems, looks at case studies of effective installations, and talks about possible obstacles and factors to take into account before broad adoption. Communities can set the path for a future that is more effective, sustainable, and environmentally conscious by reevaluating waste management with smart bins.