This paper presents the development of a TRL4-level prototype for a Smart Garbage Segregation System. This system has three functionalities in a single prototype: waste identification, waste segregation and smart data collection and management. It utilises capacitive proximity, inductive proximity, and moisture sensors effectively to identify and segregate various types of waste. It also collects valuable data for further analysis using an air quality sensor along with the other three sensors and IoT. The high accuracy of these sensors demonstrates reliable functionality in real-world scenarios, contributing to sustainability goals. The proposed prototype of the Smart Garbage Segregation System represents a significant step toward intelligent waste management solutions that address the growing challenges of waste disposal in urban environments while promoting environmental sustainability.
Kumar et al. (Tue,) studied this question.