Solar Powered Smart Bin with Sensor Integration
Ramesh.A1, Ravichandran.P2, Vadivel.C3, Ariprasanth.S.R4, Dhanabalan.M5, Eniyadharan.S6
1Lecturer / Department of Mechanical Engineering & Annai JKK Sampoorani Ammal Polytechnic College
2HOD / Department of Mechanical Engineering & Annai JKK Sampoorani Ammal Polytechnic College
3Guide & Lecturer / Department of Mechanical Engineering & Annai JKK Sampoorani Ammal Polytechnic College
4, 5, 6 Student / Department of Mechanical Engineering & Annai JKK Sampoorani Ammal Polytechnic College
Abstract - Rapid urbanization and population growth have significantly increased the challenges associated with effective waste management. Improper segregation of waste at the source leads to inefficient recycling, higher processing costs, and increased environmental pollution. This project presents the design and development of a Solar Powered Smart Bin with Sensor Integration that automatically segregates waste into biodegradable, recyclable (plastic/paper), and metallic categories. The proposed system utilizes an Arduino microcontroller as the central control unit, integrated with inductive, moisture, and infrared or capacitive sensors to identify different types of waste materials. Servo motors are employed to direct the detected waste into corresponding bins without human intervention.
To promote responsible waste disposal, a fingerprint sensor is incorporated to track individual user participation and enable reward-based encouragement. The system is powered using solar energy, making it energy-efficient and environmentally sustainable. The developed prototype demonstrates reliable performance, low cost, ease of implementation, and suitability for applications in households, educational institutions, offices, and public spaces. This smart waste segregation approach enhances recycling efficiency, reduces landfill burden, and supports sustainable solid waste management practices.
Key Words: Smart Waste Management; Solar Powered Smart Bin; Automatic Waste Segregation; Arduino-Based System; Sensor Integration; Metal and Moisture Detection; Recycling Efficiency; Sustainable Waste Management; Fingerprint-Based User Identification
