Smart City Gnosys

Smart city article details

Title	Image-Based Parking Occupancy Detection Using Deep Learning And Faster R-Cnn
ID_Doc	30249
Authors	Scekic Z.; Cakic S.; Popovic T.; Jakovljevic A.
Year	2022
Published	2022 26th International Conference on Information Technology, IT 2022
DOI	http://dx.doi.org/10.1109/IT54280.2022.9743533
Abstract	Smart city is one area with the growing use of Internet of Things and Artificial Intelligence. The concept of smart cities relies on making quality of life better, and solving important problems, such as global warming, public health, energy and resources. Smart parking management is one of the smart city use cases. This paper describes the use of deep learning algorithms to process images of parking lots and determine their current occupancy. The development of prediction models was done using PKLot dataset with 12417 images, Detectron2 software library, and Faster R-CNN algorithm. The resulting models can be integrated into parking space sensors and used for building smart parking solutions, and thus lead to more efficient use of space in urban areas, reduced traffic congestion, as well as reducing parking surfing to minimum. © 2022 IEEE.
Author Keywords	Convolutional neural networks; Deep learning; Detectron2; Faster R-CNN; Machine learning; Parking occupancy detection

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