Smart City Gnosys

Smart city article details

Title	Object Detection Algorithms For Parking Detection - Survey
ID_Doc	39596
Authors	Rani W.N.H.B.A.; Fadzil L.M.
Year	2024
Published	SSRG International Journal of Electrical and Electronics Engineering, 11, 4
DOI	http://dx.doi.org/10.14445/23488379/IJEEE-V11I4P118
Abstract	Parking detection plays a pivotal role in the development of smart cities, aiding in the efficient management of urban parking spaces. With the advent of edge computing, devices like the NVIDIA Jetson Nano have emerged as powerful tools for real-time processing in such applications. This research aims to benchmark various object detection algorithms on the Jetson Nano to determine their efficacy and efficiency in parking detection tasks. Traditional and deep learning-based algorithms, including YOLO, Faster R-CNN, and SSD, are being evaluated in terms of accuracy, computational speed, and power consumption. Preliminary results indicate that while deep learning algorithms exhibit high accuracy, their performance varies based on the complexities of the parking environment and the computational constraints of the Jetson Nano. This study provides insights into the optimal deployment of object detection algorithms for parking detection on edge devices, paving the way for the development of cost-effective and efficient smart parking solutions. © 2024 Seventh Sense Research Group®.
Author Keywords	Benchmarking; Deep Learning; Edge computing; Faster R-CNN; Jetson Nano; Object detection; Parking detection; Smart parking; SSD; YOLO

Similar Articles

Id	Similarity	Authors	Title	Published
58042	0.883	Pham-Quoc C.; Bang T.	Towards A Smart Parking System With The Jetson Xavier Edge Computing Platform	Lecture Notes on Data Engineering and Communications Technologies, 187 (2023)
7749	0.876	Thinh T.N.; Le L.T.; Long N.H.; Quyen H.L.T.; Thu N.Q.; Thong N.L.; Nghi H.P.	An Edge-Ai Heterogeneous Solution For Real-Time Parking Occupancy Detection	International Conference on Advanced Technologies for Communications, 2021-October (2021)
4739	0.866	Mettupally S.N.R.; Menon V.	A Smart Eco-System For Parking Detection Using Deep Learning And Big Data Analytics	Conference Proceedings - IEEE SOUTHEASTCON, 2019-April (2019)
21771	0.866	Ghodmare V.; Kakade T.; Khan S.; Aghor S.; Rane P.	Edge Computing-Based Real-Time Surveillance System With Yolov8 Object Detection Using Nvidia Jetson Nano	Proceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 (2025)
21731	0.864	Pham-Quoc C.; Loc N.T.; Vung D.M.	Edge Ai-Enabled Smart Parking Systems	International Conference on Advanced Technologies for Communications (2024)
44417	0.861	Kurinaah E.; Hall M.; Viera N.; Smith K.; Yu Y.; Shen X.	Real-Time Parking Lot Monitoring For Smart Cities: A Cnn-Based Approach Using Yolo And Rtsp-Compatible Cameras	Proceedings of SPIE - The International Society for Optical Engineering, 13465 (2025)
685	0.858	Nghi H.P.; Thinh T.N.	A Cnn-Based Vehicle Identification Solution In Parking System With Hardware Accelerator On Fpga	Proceedings - 2022 RIVF International Conference on Computing and Communication Technologies, RIVF 2022 (2022)
30249	0.858	Scekic Z.; Cakic S.; Popovic T.; Jakovljevic A.	Image-Based Parking Occupancy Detection Using Deep Learning And Faster R-Cnn	2022 26th International Conference on Information Technology, IT 2022 (2022)
17836	0.857	Sathishkumar P.; Boopalan R.; Shree S.K.; Dhanish R.	Deep Learning Based Efficient Parking Management System Framework	2024 International Conference on Knowledge Engineering and Communication Systems, ICKECS 2024 (2024)
41750	0.856	Minh H.T.; Mai L.; Minh T.V.	Performance Evaluation Of Deep Learning Models On Embedded Platform For Edge Ai-Based Real Time Traffic Tracking And Detecting Applications	Proceedings - 2021 15th International Conference on Advanced Computing and Applications, ACOMP 2021 (2021)