| Issue |
E3S Web of Conf.
Volume 458, 2023
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2023)
|
|
|---|---|---|
| Article Number | 03024 | |
| Number of page(s) | 8 | |
| Section | Low Carbon Mobility and Logistics | |
| DOI | https://doi.org/10.1051/e3sconf/202345803024 | |
| Published online | 07 December 2023 | |
Application of convolutional networks of the YOLO architecture for calculating free parking spaces in an arbitrary parking lot
1 M.F. Reshetnev Siberian State University of Science and Technology, 82 Mira Ave., Krasnoyarsk, Russia
2 Siberian Federal University, 79 Svobodny, Krasnoyarsk, Russia
* Corresponding author: dumooroo@gmail.com
The paper describes the solution of the problem of automatic fixation of the availability of free parking spaces in parking lots based on the video stream of the surveillance camera. The problem was solved using a combination of the YOLOv7 model for detecting objects of interest of the “car” type, trained on a specially created training sample and grouping of objects using the k-means algorithm. The proposed solution has shown satisfactory accuracy and suitability for practical use in conditions of significant optical interference – daily light fluctuations and precipitation for calculating free parking spaces by the model without retraining it for various parking lots
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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