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June 20, 2026SustainabilityOpen Access

Promoting Waste Separation Practices Through an IoT-Based Sorting System with Integrated Web and Mobile Platforms

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Authors

ALAnnelise Najara Cabrales LópezJMJesús Guadalupe Rivera MezaEREduardo Arcega Rodríguez

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Overview

Randomized trial assesses an IoT-based waste sorting system in urban areas, suggesting a framework for improved recycling behaviors.

Key Points

  • This research aims to evaluate an IoT-based system designed to enhance waste separation practices among citizens.
  • Developed an IoT-enabled smart bin and gamified mobile application integrated with an administrative web panel.
  • Used computer vision with the GPT-4o model for automatic classification of recyclable materials.
  • Conducted a diagnostic survey to assess user acceptance and satisfaction with the system.
  • Achieved classification accuracy exceeding 95% under controlled conditions.
  • Found that 94.1% of participants accepted the gamification model.
  • Reported a mean satisfaction score of 4.77/5.0, with 79.7% giving the maximum rating.

Cite This Study

López et al. (2026) studied this question.

synapsesocial.com/papers/6a362fbcdb0793dc1a5370dehttps://doi.org/10.3390/su18126281
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