International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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WasteWise: A Waste Segregation System with Wi-Fi and Charging Reward

Author(s) Mr. Gabriel Miguelberth Estasio De castro, Mr. Vincent De Quintos Ang, Mr. Alden Lalic Barro Jr., Mr. Chleo Louisse Oligario Torres, Prof. Juan Emerson P Olino, Prof. Rodel M Tungol
Country Philippines
Abstract This study developed WASTEWISE, an automated waste segregation system designed to address the challenges of improper waste disposal and low recycling motivation in school environments. Traditional manual sorting is often inefficient and prone to human error; therefore, this project integrated sensor-based detection with a reward mechanism to encourage positive behavioral changes. Utilizing a Developmental Research Method, the researchers constructed a prototype equipped with inductive, capacitive, and infrared sensors connected to an Arduino microcontroller and a Raspberry Pi. The system automatically classifies waste into plastic, metal, or general categories and provides digital incentives—such as Wi-Fi access or device charging time—via a captive portal.

The system’s effectiveness was evaluated using the ISO/IEC 25010 quality model, gathering data from IT experts and student respondents. Findings revealed high levels of acceptability, with IT experts validating the system’s technical robustness and students reporting high satisfaction with its usability and motivational features. Specifically, the system achieved high weighted means in functional suitability (4.85) and usability (4.83). The study concludes that WASTEWISE is a technically sound and innovative solution that significantly enhances waste management efficiency while fostering a culture of environmental responsibility within educational institutions.
Keywords Automated Waste Segregation, Reward System, Sensor-Based Classification, Raspberry Pi, Arduino, ISO/IEC 25010, Sustainability.
Field Computer > Automation / Robotics
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-12
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.74283
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