Ai Based Disposal Sorting

Abstract

India is currently facing a major challenge in managing its growing waste production, which is estimated at around 62 million tons per year. Out of this, only a small portion is effectively processed, while a significant amount, approximately 31 million tons, is left unmanaged, leading to serious environmental damage, health risks, and air pollution. Manual waste management techniques are often slow, error-prone, and demand substantial human involvement. To overcome these limitations, this study introduces a smart waste segregation system that leverages advanced technology for improved efficiency and accuracy. To address these issues, this paper proposes a smart waste segregation system that utilizes Artificial Intelligence (AI) and Internet of Things (IoT) technologies. The system is designed to automatically identify and sort waste into three main categories: wet, dry, and metal. It leverages multiple sensors and actuators in real-time for identification, classification, and guidance of waste to color-coded disposal bins, green for wet waste, blue for dry waste, red for metal waste, all without the need for human intervention. Furthermore, the integrated IoT module continuously monitors the status of each bin and sends alerts when they are full, facilitating timely collection and disposal. This smart automation can not only increase the speed and accuracy of waste segregation, in addition to decreasing human effort but also promoting a cleaner waste management philosophy.