The Glutton is a self propelled urban vacuum litter collector with electric transmission. Our project aims to design auxiliary instrumentation to be added to a commercial Glutton street vacuum cleaner effectively turning it into an IoT device. We will also create a companion website to provide route recommendations and key data to the operators and managers of the Glutton vacuum cleaner at UQ.
Our project may eventually be made available to third parties outside of UQ but will initially be designed in collaboration with UQ Properties and Facilities (P&F) for use within UQ. The IoT device we are creating will track the movement of the Glutton via GPS, along with the fill level of the bin and other readings. This information will be communicated over LoRaWAN to our cloud server. Our web app will display this data in near realtime showing not only the fill level of the Glutton but also highlighting litter hotspots and pedestrian volumes around the Glutton to allow the operator and management to make informed decisions about when and where to deploy the Glutton on campus maximising it's use and causing minimal disruption to pedestrian traffic.
We will also fit the Glutton with a bin fill level indicator display as this information is currently unavailable to the operator.
This project is being undertaken by Studio 3 students Jason Treloar, Jayden Felice, Xiaoxin Wang, George Williams, Justin Chan and Park Sang Ik for the P&F division at UQ under the supervision of Dr Alex Pudmenzky.