Year: 2025
Type: article
Abstract: : This project presents an Automatic Waste Segregation System that classifies and sorts waste into three categories: wet (organic), dry, and metallic. The system utilizes integrated sensors – moisture sensors for wet waste detection, capacitive sensors for dry waste identification, and inductive proximity sensors for metal recognition. Upon detection, waste items are released from an upper collection chamber into a dynamically positioned bin assembly. A stepper motor-driven rotating platform aligns the corresponding category-specific container (wet, dry, or metal) beneath the discharge point based on real-time sensor feedback processed by the Arduino Uno. This mechanized approach eliminates direct human contact with waste, enhances sorting efficiency, and provides a scalable solution for improved recycling workflows.
Authors: Mayank Kulkarni, Sudesh Godase, Digvijay Khilare, V. B. Utpat
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4416177489