Karakaya, Kasım MuratAkinci,F.C.Karakaya,M.Computer Engineering2024-07-052024-07-0520187978-153861501-010.1109/SIU.2018.84047492-s2.0-85050821244https://doi.org/10.1109/SIU.2018.8404749https://hdl.handle.net/20.500.14411/3866Aselsan; et al.; Huawei; IEEE Signal Processing Society; IEEE Turkey Section; NetasThis paper presents an approach for gathering information about the availabilty of the parking lots using Convoltional Neural Network (CNN) for image processing running on an embedded system. By using an eflicent neural network model, we made it possible to use a very low cost embedded system compared to the ones used in previous works on this topic. This efficient model's performance is compared to one of the models that proved its accuracy in image classification competitions. In these tests, we used datasets that has thousands of different images taken from parking lots in different light and weather conditions. © 2018 IEEE.trinfo:eu-repo/semantics/closedAccessComputer VisionConvolutional Neural NetworksDeep LearningSmart CitiesConference Object14