Work

Eco Buddy: A Novel Robotic Platform for Automatic Waste Classification using Computer Vision and IoT

Year: 2025

Type: conference-paper

Abstract: This paper presents the design and implementation of Eco Buddy, an automated waste classification system combining IoT and computer vision.The platform integrates an ESP32 microcontroller, Raspberry Pi 5, and sensors for real-time waste detection and sorting.Using TensorFlow Lite, the system achieves 95% accuracy in distinguishing between aluminum cans, plastic bottles and anomalies.The platform includes an IoT dashboard for monitoring and a gamified rewards system to promote recycling.This cost-effective solution demonstrates the practical application of robotics in environmental sustainability.

Source: Annals of Computer Science and Information Systems

DOI: 10.15439/2024r71

Authors: Armando Guevara, Irene López, Fernando Chávez, Manuel Cardona, Josue Aldana-Aguilar, Isidro Marroquín

Institution: Universidad Don Bosco

Language: English

Topic: Waste Management and Recycling

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4410513338