Open source IoT-based collection bin applied to local plastic recycling

This research looks at how to handle plastic waste more sustainably by testing an open‑source, IoT‑enabled smart bin that works in local recycling networks. Conventional recycling systems usually rely on big, centralized hubs. Shipping waste long distances and using inefficient collection routes creates a lot of greenhouse‑gas emissions. The study examines three main parts of the smart bin system: * **Design and architecture** – how the hardware and software are put together. * **Sensor network** – nodes that measure how full the bin is and how fast waste is added. * **Data platform** – a central system that receives the sensor data and helps plan collection routes. By sending real‑time

fill‑level information to the data platform, collection trucks can be routed dynamically. This cuts fuel use, lowers operating costs, and reduces emissions. The research tests how reliable the sensor network is, how well data is transmitted, and whether the open‑source hardware can scale up. Using models and simulations of collection logistics, the results show that local recycling stations with live telemetry can shrink the carbon footprint of waste recovery. Overall, the project offers a clear, low‑cost framework for deploying scalable IoT solutions that improve municipal and industrial waste‑management processes.

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