FOUR - CATEGORY SEGREGATION SYSTEM USING ARDUINO UNO MICROCONTROLLER WITH SOLAR PANEL BACK – UP

Abstract

The Four-Category Segregation System, powered by an Arduino Uno and supported by a solar panel backup, offers an innovative solution to the growing challenges of waste management in today's environmentally-conscious world. This automated system sorts waste into four categories: wet, metal, plastic, and paper. By integrating microcontroller technology with renewable solar energy, the system ensures both sustainability and self-sufficiency. It streamlines waste management, improves recycling efficiency, and provides an eco-friendly approach to waste segregation, making it a reliable and sustainable solution for modern environmental concerns. The project utilized an Experimental Prototyping Methodology, which involved 2D/3D software modeling using SketchUp and programming through Arduino IDE. User feedback was gathered through Descriptive Type Survey Questionnaires, with purposive sampling employed to select respondents. The data was analyzed using the Likert Scale to assess user satisfaction and provide valuable insights for refining the system's design and functionality. The system's components functioned as intended, confirming its reliability and effectiveness in automated waste segregation. The Arduino Uno, as the central controller, processed sensor inputs and activated the sorting mechanisms, with the main sensors detecting waste types efficiently. The solar panel effectively converted sunlight into energy, while a rechargeable battery ensured reliable backup power. The SIM800L GSM Module enabled remote communication via SMS for sending alerts and instructions. This seamless integration demonstrated the system's ability to sort waste accurately and sustainably, making it suitable for various waste management applications. The system achieved over 90% sorting accuracy, with an average processing time of 3 seconds per item. Solar panels powered the system during daylight, while a rechargeable battery provided dependable backup. With minimal errors, the system demonstrated consistent performance. Its modular design allows for scalability and customization to meet various needs. Successful prototype testing confirms the system's feasibility for automated garbage segregation, offering promising improvements in waste management efficiency and contributing to environmental conservation.