Smart Trash Bin
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 » |