Automatic Waste Segregation System

The Automatic Waste Segregation System aims to enhance waste management practices by efficiently sorting waste into three categories: wet waste, dry waste, and metallic waste. Utilizing advanced sensor technologies, this system leverages an LM393 IC moisture sensor to detect the moisture content in waste, effectively identifying wet organic materials such as food scraps. Additionally, an infrared (IR) sensor is employed to distinguish dry waste, including paper, plastics, and textiles, based on the reflective properties of the materials. To further enhance the sorting process, a metal detector is integrated to identify and segregate metallic waste, ensuring that recyclables are collected accurately. The automation of waste segregation not only reduces the manual labor involved in traditional waste sorting methods but also increases the accuracy and efficiency of the process. This system is designed to operate autonomously, with real-time monitoring and feedback mechanisms that allow for seamless integration into existing waste management infrastructures. The collected data on waste types can be utilized for further analysis, enabling municipalities and organizations to develop more effective waste disposal and recycling strategies. By implementing this Automatic Waste Segregation System, we aim to address the growing challenges of waste management, reduce landfill dependency, and promote recycling and resource recovery. This innovative approach aligns with global sustainability goals, contributing to cleaner environments and enhanced waste resource management. The project has the potential to significantly improve waste processing efficiency, reduce environmental impact, and foster community awareness regarding the importance of proper waste segregation. Key Words: Arduino Mega, IR Sensor, DC Motor, Rotary Indexer, Container, etc.