Figure 1 from Intelligent Waste Segregation Using Smart IoT Circuit Diagram It is an IoT based Waste Segregation and Monitoring system which is an innovative way to keep the cities clean and healthy. Since the population of our world is increasing rapidly, the environment should be clean and hygienic in order to lead a better life. This is a model for Waste Segregation for Smart cities.

Smart Waste Segregation and Monitoring System using IoT V.Sowndharya 1* , P.Savitha 1 , S.Hebziba Jeba Rani 2 1 UG Scholar, Dept of Computer Science and Engineering, Sri Ramakrishna Institute of an IoT based Waste Management System for Smart Cities. In this proposed system, there will be multiple garbage bins positioned throughout the city or campus; these garbage bins will be set up with low cost embedded device, which helps in tracking the level of garbage in a particular bin

PDF Smart Waste Segregation and Monitoring System using IoT Circuit Diagram
The count of the waste is updated in Thinkspeak server [13] Chitluri Sai Srikanth et.al provided a solution for waste assortment using the smart waste managing system using IoT. The system shows The Automatic waste management and segregation system use the concept of IoT, where the proposed system is placed all over the cities, with an embedded system to segregate and monitor the level of the bin. The status of bins is sent to concerned authorities to evacuate the bins and the locations of bins are traced via the internet. This system

making traditional waste management methods increasingly ineffective. This paper explores an advanced approach to addressing these challenges through the development of a Smart Waste Segregation System. The system leverages capacitive sensing technology to identify and classify waste into categories such as metallic, wet, and other materials.

Automated smart waste segregation system using IoT technology Circuit Diagram
E. Smart Waste Management System using IoT: This study proposes a smart waste management system that uses IoT devices to monitor and segregate waste in real-time. The system includes sensors that can detect the type of waste and a machine learning algorithm that can classify the waste into recyclable and non-recyclable categories. The system follows an IoT-based approach where the discarded waste from the smart bin is continuously monitored by sensors that inform the filling level of each compartment, in real-time.
