Cyber-physical system for smart parking based on computer vision technology

Avsiyevych, V.; Kovalenko, V.

Cyber-physical system for smart parking based on computer vision technology

Файли

Black_Sea_Sci_2022_Avsiyevych.pdf(16.29 MB)

Дата

2022

Автори

Avsiyevych, V.

Kovalenko, V.

Анотація

With the rapid growth of transport number on our streets, the need for finding a vacant parking spot today could most of the time be problematic, but even more in the coming future. Smart parking solutions have proved their usefulness for the localization of unoccupied parking spots. Nowadays, surveillance cameras can provide more advanced solutions for smart cities by finding vacant parking spots and providing cars’ safety in the public parking area. Based on the analysis, Google Cloud Vision technology has been selected to develop a cyber-physical system for smart parking based on computer vision technology. Moreover, a new model based on the fine-tuned convolutional neural network has been developed to detect empty and occupied slots in the parking lot images collected from the KhNUParking dataset. Based on the achieved results, the performance of parking lots’ detections can be simplified, and its accuracy improved. It was also concluded that the Google Cloud Vision technology as parking slots detector and a pre-trained convolutional neural network as a feature extractor and classification were decided to develop a cyberphysical system for smart parking.

Опис

Avsiyevych V. Cyber-physical system for smart parking based on computer vision technology / V. Avsiyevych, V. Kovalenko ; advisors O. Pavlova, P. Radiuk // Black Sea Science 2022 : proc. of the Intern. Competition of Student Scientific Works / Odesa National University of Technology ; eds. B. Yegorov, M. Mardar [et al.]. – Odessa : ONUT, 2022. – P. 335–345 : tabl., fig. – Ref.: 15 tit.