Porting Computer Vision Models to the Edge for Smart City Applications: Enabling Autonomous Vision-Based Power Line Inspection at the Smart Grid Edge for Unmanned Aerial Vehicles (UAVs)

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dc.contributor.authorGudmundsson , Ingi
dc.contributor.authorFalco, Gregory
dc.date.accessioned2021-12-24T18:30:46Z
dc.date.available2021-12-24T18:30:46Z
dc.date.issued2022-01-04
dc.description.abstractSmart grid infrastructure must be monitored and inspected - especially when subject to harsh operating conditions in extreme, remote environments such as the highlands of Iceland. Current methods for monitoring such critical infrastructure includes manual inspection, static video analysis (where connectivity is available) and unmanned aerial vehicle (UAV) inspection. UAVs offer certain inspection efficiencies; however, challenges persist given the time and UAV operator skill required. Collaborating with Landsnet, the Icelandic smart grid operator, we apply convolutional neural networks for image processing to detect smart grid transmission infrastructure and modify the resulting computer vision (CV) model to function on the edge of a UAV. In doing so, we overcome significant edge processing barriers. Our real-time CV model delivers decision insight on the UAV edge and enables autonomous flight path planning for use in smart grid inspection. Our approach is transferable to other smart city applications that could benefit from edge-based monitoring and inspection.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.929
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80271
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSmart (City) and Data Streaming Application Development: Challenges and Experiences
dc.subjectautonomous uavs
dc.subjectcomputer vision
dc.subjectedge devices
dc.subjectinfrastructure monitoring
dc.subjectsmart grid
dc.titlePorting Computer Vision Models to the Edge for Smart City Applications: Enabling Autonomous Vision-Based Power Line Inspection at the Smart Grid Edge for Unmanned Aerial Vehicles (UAVs)
dc.type.dcmitext

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Smart (City) and Data Streaming Application Development: Challenges and Experiences