Research Article
Smart UAV Monitoring System for Parking Supervision
@INPROCEEDINGS{10.1007/978-3-030-78459-1_18, author={Goran Jausevac and Dalibor Dobrilovic and Vladimir Brtka and Gordana Jotanovic and Dragan Perakovic and Zeljko Stojanov}, title={Smart UAV Monitoring System for Parking Supervision}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 5th EAI International Conference, FABULOUS 2021, Virtual Event, May 6--7, 2021, Proceedings}, proceedings_a={FABULOUS}, year={2021}, month={6}, keywords={Unmanned Aerial Vehicles (UAV) Fleet of UAVs Surveillance Observer UAVs Inspector UAVs Convolutional neural networks Deep learning Tensorflow Keras}, doi={10.1007/978-3-030-78459-1_18} }- Goran Jausevac
Dalibor Dobrilovic
Vladimir Brtka
Gordana Jotanovic
Dragan Perakovic
Zeljko Stojanov
Year: 2021
Smart UAV Monitoring System for Parking Supervision
FABULOUS
Springer
DOI: 10.1007/978-3-030-78459-1_18
Abstract
Unmanned Aerial Vehicles (UAVs), or drones, are used in the field of remote collection of images at the time of flight. They can also detect irregularities in vehicle parking and issue fines in case of parking violations. The parking monitoring system uses real-time visual information. In this paper, the proposed solution is for real-time monitoring of areas and detecting irregularities in-vehicle parking using a fleet of drones. In this study, a camera mounted on UAVs applies for taking pictures of public areas at predetermined points. For monitoring of area will be used Observer UAVs while for detection will be used, Inspector UAVs. Visual information collected with UAVs is used to detect irregularities in vehicle parking, while the processing of collected data is performed by an artificial neural network.
