Şener, BerkayDinçer, Şerife Esra2025-01-092025-01-092024979835035442310.1109/ISMSIT63511.2024.107572652-s2.0-85213353766https://doi.org/10.1109/ISMSIT63511.2024.10757265https://hdl.handle.net/11501/15948th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2024 -- 7-9 November 2024 -- Ankara, TurkeyThis study proposes a real-time parking space detection using a pixel-based image processing technique. The proposed algorithm detects free spaces in a busy parking place video stream. The performance of the algorithm is compared with CNN algorithm using YOLOv8 software. The detection rate of the developed algorithm is found to be 9% higher than the YOLOv8 classification model with 5 times less error rate. Also, the proposed system missed fewer objects and requires less memory space than the YOLOv8 model.eninfo:eu-repo/semantics/closedAccessCNNFree Park Space Detectionİmage ProcessingParking LotsPixel-Based ProcessingYOLOv8Conference ObjectN/A