International Journal For Multidisciplinary Research

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

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Volume 8 Issue 3
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A Scoping Review of Smart Recycling Technologies: AI, IoT, and Incentive-Based PET Bottle Vending Systems

Author(s) Mx. Jo Roxan M. Borata, Leslyn B. Reazol
Country Philippines
Abstract Research on smart PET bottle recycling often treats AI-based identification, IoT monitoring, and incentive schemes as separate threads, leaving limited synthesis on how these pillars work together in real collection systems. This scoping review mapped studies from 2021–2025 on smart recycling technologies combining AI, IoT infrastructures, and incentive-based reverse vending for PET bottle streams. A scoping review approach followed standard scoping stages and aligned reporting with PRISMA-ScR. Searches covered major bibliographic databases and used concept clusters for PET, smart technologies (AI, computer vision, IoT, smart bins), and incentives (reverse vending, deposit-refund). Eligibility focused on English, peer-reviewed studies (2021–2025) with PET-specific content and at least one pillar plus reported outcomes. The evidence clustered into AI-oriented recognition studies, IoT-oriented monitoring and routing systems, and incentive-oriented deposit/refund deployments. Reported technical performance included ~95% PET vs PP classification and ~97.5% accuracy for blue PET classes, plus >92% PET identification using polarization vision, and >95% in-machine CNN-based classification with fraud detection. Deposit-refund pilots included 23 reverse vending machines in Portugal (2020–2022), while an incentive-enabled campus prototype collected over 650 kg in six months. Fully integrated AI, IoT, incentive systems appeared infrequently, and links to user behavior, costs, and environmental outcomes were often thin. Future work should report end-to-end system designs and evaluate technical accuracy alongside behavioral uptake, operational reliability, and impact metrics.
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-17
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78547
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