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https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4885
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DC Field | Value | Language |
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dc.contributor.author | Rathnayake, R M P M D | - |
dc.date.accessioned | 2025-07-22T09:16:12Z | - |
dc.date.available | 2025-07-22T09:16:12Z | - |
dc.date.issued | 2024-09-27 | - |
dc.identifier.uri | https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4885 | - |
dc.description.abstract | Abstract The advent of new IoT technologies has highlighted the necessity for intelligent waste management bins. These bins provide remote monitoring of container status, promoting a cleaner environment and enhancing the garbage collection process. For waste collection staff, understanding the appropriate collection sites and schedules is essential to save superfluous trips. Nonetheless, the production of numerous physical smart bins for experimental purposes is costly and difficult, particularly for research teams. This project introduces a smart bin simulator system to tackle this difficulty. This simulator produces data regarding waste fill levels, allocates bins to designated places, and replicates their functionality. It incorporates a scheduling functionality for waste pickup, accounting for intervals of inactivity to replicate real-world situations. Data visualization and recording are facilitated by Node-RED for the municipal council's central dashboard. A mobile application created with Android Studio offers drivers, collectors, and residential customers access to route details, collection timetables, and monthly data. This comprehensive strategy seeks to enhance the efficiency of waste management and the quality of life. | en_US |
dc.language.iso | en | en_US |
dc.title | Smart Garbage Collection System with Route Assistance | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | 2023 |
Files in This Item:
File | Description | Size | Format | |
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2020MIT082.pdf | 1.66 MB | Adobe PDF | View/Open |
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