📖 ABSTRACT/OVERVIEW
Inefficient solid waste collection scheduling in the Abuja Municipal Area Council results in overflow of public waste bins, creating environmental health hazards in residential and commercial neighbourhoods. This project presents the design of a smart bin system that monitors fill levels in real time and transmits data to a central waste management dashboard via an IoT communication protocol. Ultrasonic sensors installed inside each bin measure the distance from the sensor to the waste surface to infer fill percentage. An ESP8266 Wi-Fi module transmits fill-level readings at 30-minute intervals to a cloud-based dashboard where collection routes can be dynamically prioritized based on urgency. The system was prototyped and installed on 20 public bins distributed across three zones in Garki, Wuse, and Maitama districts. Over a six-week monitoring period, collection scheduling based on smart bin data reduced the number of overflow incidents by 54 percent compared to the previous fixed-schedule collection approach. Fuel consumption by collection vehicles was reduced by an estimated 18 percent through route optimization informed by live fill-level data. Each smart bin unit cost approximately 8,500 Naira to instrument, with a five-year lifecycle projected before sensor replacement is required. The study presents a scalable, data-driven approach to urban waste management that is applicable to other Nigerian Federal Capital Territory zones and major cities. Keywords: smart bin, waste management, IoT monitoring, fill-level sensor, Abuja
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