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dc.contributor.authorMware, Eric M.
dc.date.accessioned2017-11-22T11:04:37Z
dc.date.available2017-11-22T11:04:37Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/11071/5659
dc.descriptionThesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Information Technology (MSIT) at Strathmore Universityen_US
dc.description.abstractA healthy environment is imperative to a healthy and happy community. Clean and well monitored environments are a key need in human habitable environments. In-House management and monitoring of waste is a key aspect in achieving this. The existing system of using waste monitoring personnel to regularly check and empty filled dustbins, the process has been prone to delays or neglect. Additionally, due to different frequency of usage of dustbins in different areas, routine checks which are based on time crevices is inefficient because a dustbin might get filled early and may need immediate attention or there might not be any need of a routine check for a long period of time. This makes present system resource expensive and ineffectual, as overflowing, stinking dustbins become more of a problem than a solution. This study presents a solution about the Smart-Bin Prototype for In-House Waste Management which integrates the idea of IoT with Wireless Sensor Networks. Arduino ATmega328P Microcontroller is used to interface the sensor system and the IoT hub. Dustbins in an area are embedded with low power and low cost smart ultrasonic and gas sensors that are connected to an IoT device, which acts as a central hub for all bins. The bins transmit their gas content and its fill-level status to the central hub which relays this data to a cloud platform. The cloud platform further pushes the data to the client app a GUI (Web or mobile) in which the current gas content and their state (filled or not) is displayed. The client app GUI can be used by the waste management personnel and data can be used to plan their routine check. This timely garbage monitoring would optimize resources, reduce cases of neglect and is easy to adopt.en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectWaste Compositionen_US
dc.subjectWaste Monitoring Systemen_US
dc.subjectAutomated Solid Waste Bin Monitoring Systemen_US
dc.subjectSmart and Wireless Waste Managementen_US
dc.titleA Smart-bin prototype for in-house waste managementen_US
dc.typeThesisen_US


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