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Smart Trash Bin
Muhammad Nabil Mohd Sufian, Mohammad Zulfiqar Zulkofli, Adam Aiman Bani, Ummi Maisarah Izani, Mohamad Firdaus Ridzuan, Muhammad Hakim Muhammad Taufik, Aiman Aqiff Aidi

Smart Trash Bin

Science & Mathematics Published 2025 1103.6 KB Verification Pending

Overview & Synopsis

The management of urban waste has become increasingly challenging due to rapid urbanization and rising waste generation, leading to inefficiencies in traditional waste collection systems. Factors such as overflowing bins, ineffective collection schedules, and environmental concerns contribute to this issue, particularly in high-traffic public areas. Among these factors, inefficient waste monitoring plays a crucial role, as the lack of real-time data results in delayed waste collection and increased operational costs. Therefore, this project focuses on addressing waste management inefficiencies through the development of an IoT-Based Smart Trash Bin. The methodology applied in this system follows a prototype development approach. The system operates by detecting waste fill levels, with color-coded LED indicators (green, yellow, red) providing visual cues, while real-time data is transmitted to waste management teams for optimized collection scheduling. The development of this system contributes to enhancing public hygiene, reducing waste overflow, and optimizing municipal waste management strategies, making urban environments cleaner and more sustainable.

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Document Information

Document Title Smart Trash Bin
Author / Organization Muhammad Nabil Mohd Sufian, Mohammad Zulfiqar Zulkofli, Adam Aiman Bani, Ummi Maisarah Izani, Mohamad Firdaus Ridzuan, Muhammad Hakim Muhammad Taufik, Aiman Aqiff Aidi
Subject & Discipline Scientific Research & Data
Categories Science & Mathematics
Publication Year 2025
License / Rights cc-by-4.0
Resource Verification Listed PDF (Verification Pending)
Original Host Website Zenodo (zenodo.org)
File Format application/pdf (Portable Document Format)
Reported File Size 1103.6 KB (1,130,107 bytes)
Language EN
Catalog ID DOC-117175
Original Source Link Visit Source Page on zenodo.org »