Internet of Things based Intelligent Waste Segregation and Management System for Smart Home Application

The Internet of Things (IoT) has a significant impact on research for real time data monitoring. Waste segregation and control based on IoT is a significant task in metropolitan cities and municipal corporations. The advancement of key enabling technologies dependent on IoT enabled devices. Waste segregation and disposal mechanisms are among the severe problems associated with smart cities, which have a negative impact on our society and health. The trash bin monitoring and control is carried out through a microcontroller is proposed in this work. An IoT enabled smart bin utilizes a microcontroller with multiple sensors will control the process. In this paper, use inductive proximity sensors to detect metal trash, while temperature and humidity sensors are used to segregate as wet and organic wastes. The bin filling level is monitored using Infrared sensors. IoT with sensor communication module allows remote control of real-time data collection at each home. While Bluetooth allows for short-range waste monitoring via a mobile app. Waste is piled at various levels in the trash bins. The centralized controller is enabled and the filled bins are managed effectively with the deep learning technique. The waste collection is monitored by setting up a training model based on Deep Learning (DL). The intelligent GUI will track the unfilled levels of each trash bin as proposed.