“ParkVision”: Smart Way to Automate the Management of the Parking System for Starring Building

Abstract

In rapidly urbanizing environments, the demand for intelligent and secure parking solutions is greater than ever. The "Smart Way to Automate the Management of the Parking System for Starring Building" project presents ParkVision, a comprehensive smart parking management system designed to modernize traditional infrastructures. ParkVision integrates four key modules: Augmented Reality (AR) Navigation, Vehicle Classification and License Plate Recognition using YOLOv5, Real-Time Parking Violation Detection and Fine Management, and Blockchain-Based Parking Fee Automation. The AR navigation module guides drivers through complex, multi-level parking facilities using real-time 3D overlays, reducing search time and congestion. Vehicle classification and license plate recognition components leverage YOLOv5 object detection algorithms to accurately identify vehicle types and extract license numbers in diverse conditions. The violation detection module monitors parking behaviors, detects infractions like overstaying or unauthorized parking, and issues automated fines with real-time notifications. Meanwhile, the blockchain module ensures secure, transparent financial operations by calculating fees and managing transactions through Ethereum smart contracts and MetaMask wallet integration. By synchronizing these technologies within a unified architecture, ParkVision delivers a fully automated, scalable, and tamper-proof parking management solution. The project aims to enhance space utilization, minimize human intervention, build user trust, and support the development of smart urban mobility infrastructure.

Country : Sri Lanka

1 Jayaweera J.A.S.M2 Arampath A.M.S.Y3 Illesingha I.T.S4 De Silva K.T.S5 Sanika Wijayasekara6 Kapila Dissanayaka

  1. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Computer Systems Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

IRJIET, Volume 9, Issue 5, May 2025 pp. 51-60

doi.org/10.47001/IRJIET/2025.905006

References

  1. K. T. e. al., "AR Navigation Systems in Indoor Environments: An Overview," Smart Computing Journal, vol. 32, p. 123–135, 2020.
  2. A.-J. a. Samaan, "AR-Based Interactive Smart Parking Navigation System," 2020.
  3. D. e. al, "AR Parking Assistance for Drivers," International Journal of Applied Engineering Research, vol. 10, no. 2019.
  4. Y. e. al, "3D Pathfinding in Multi-Level Parking," Transportation Research Record, vol. 2468, p. 13–22, 2020.
  5. R. G. a. S. Martínez, A Privacy-Preserving Pay-by-Phone Parking System, 2016.
  6. M. A. H. e. al., "Evaluation of YOLOv8 for Real-Time Vehicle and Plate," vol. 11, no. 2023, p. 10320–10333.
  7. S. D. a. P. Reddy, "Automated Illegal Parking Detection using YOLOv3 and OpenALPR," in Applied Computer Vision Conference, 2022.
  8. H. L. e. al., "Real-Time Time-Violation Parking Tracker using YOLO and DeepSORT," in Smart Mobility Conference Proceedings, 2023.
  9. F. C. e. al, "End-to-End Vehicle Monitoring using YOLO and CNNs," Urban Computing Research, vol. 14, pp. 54-66, 2021.
  10. W. Z. Min, "A Study on Common Problem on Smart," in Progress in Engineering Application and Technology (PEAT), 2022.
  11. ] F. Jameel, N. N. Zafar, "Formal Modeling and Automation of E-Payment Smart," 2021.
  12. Z. Zinonos, P. Christodoulou, A. Andreou, and S. Chatzichristofis, "ParkChain: An IoT Parking Service Based on Blockchain," 2019.