Smart Way to Automate the Management of
Parking System forStarring Building

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Project Scope

Literature Survey

The proposed system, ParkVision, is a comprehensive, multi-component smart parking management solution developed for the Starring Building. It incorporates four core subcomponents: (1) Augmented Reality (AR) Navigation in 3D Environments, (2) Vehicle Classification & License Plate Recognition using YOLOv5-based Object Detection, (3) Real-Time Parking Violation Detection & Fine Management, and (4) Blockchain-Based Parking Fee Automation. Together, these modules aim to optimize space utilization, minimize violations, automate fee transactions, and enhance user navigation.

As urban populations continue to grow and vehicular density increases, managing parking resources has become an increasingly critical challenge for metropolitan areas. Traditional parking systems dependent on manual oversight, cash payments, and minimal automation are now widely regarded as inefficient and inadequate in meeting the demands of modern infrastructure. In response, intelligent parking systems (IPS) have emerged as a focal point of research and development, offering a technology-driven alternative that emphasizes automation, transparency, user experience, and security.

References

  1. K. Thanassis et al., "AR Navigation Systems in Indoor Environments: An Overview," Smart Computing Journal, vol. 32, pp. 123–135, 2020.
  2. Al-Jabi and Samaan, "AR-Based Interactive Smart Parking Navigation System," 2020
  3. Dhivya et al., "AR Parking Assistance for Drivers," International Journal of Applied Engineering Research, vol. 10, 2019
  4. Yenigun et al., "3D Pathfinding in Multi-Level Parking," Transportation Research Record, vol. 2468, pp. 13–22, 2020
Project Scope

Research Gap

The following gaps were identified in existing smart parking research and systems:

Space Management

License Plate Recognition & Vehicle Classification for Space Management Most parking systems focus on isolated features like detection, navigation, or payment, lacking a unified architecture. Real-time, synchronized automation across all aspects of parking is missing in existing solutions.

Navigation Limitations

Current AR-based systems lack full 3D indoor navigation support with dynamic parking data. They often rely on static 2D visuals or fail to account for changing occupancy in multi-level environments.

Insufficient Payment Security

Many payment systems rely on centralized, non-transparent servers prone to tampering. Blockchain-based automation and decentralized fee handling remain underutilized in real-world applications.

Real-Time Violation Detection & Management

Most systems lack real-time detection of parking violations like double parking or overstaying. Deep learning-based monitoring and automated enforcement through fines or in-app alerts remain largely unimplemented, reducing compliance and space efficiency.

Research Problem & Solution

Proposed Problem

How to automate parking navigation, monitoring, enforcement, and fee management in a secure and user-friendly way?

Traditional parking systems are inefficient, fragmented, and lack real-time intelligence. Users face delays, manual enforcement is error-prone, and fee processing is insecure. There's a need for a unified smart parking solution that automates all components seamlessly using AI, AR, and blockchain.

Proposed Solution

ParkVision integrates Augmented Reality-based indoor navigation, YOLOv5-powered vehicle classification and license plate recognition, automated parking violation detection with real-time alerts, and blockchain-based payment through Ethereum smart contracts and MetaMask. This ecosystem delivers a seamless and intelligent parking experience with minimal human intervention.

Research Objectives

License Plate Recognition & Vehicle Classification for Space Management

Automatically identify and classify vehicles using YOLOv5 and Tesseract OCR for accurate license plate recognition and efficient space allocation based on vehicle size and type.

AR-Based Navigation

Provide real-time AR navigation using Unity's AR Foundation and NavMesh, guiding drivers through complex parking layouts with dynamic path.

Real-Time Violation Detection & Management

Detect parking violations using deep learning models in real time and issue automated fines with in-app notifications to improve compliance.

Blockchain-Based Fee Automation

Enable secure, tamper-proof fee processing using Ethereum smart contracts and MetaMask wallet integration to handle entry, exit, and fine payments transparently.

Methodology

System Architecture

Figure: High-Level Architecture of the ParkVision System

The ParkVision system is built as a unified platform with the following modules:

  1. License Plate Recognition Vehicle Detection for Space Management : YOLOv5 and Tesseract OCR identify vehicle types and extract plate data under diverse conditions.
  2. AR-Based 3D Navigation: Built using Unity and AR Foundation with real-time pathfinding via NavMesh and spatial anchoring.
  3. Violation Detection: CNN and YOLOv5 models detect infractions and notify users via Firebase Cloud Messaging.
  4. Blockchain-Based Payment: Solidity smart contracts deployed on Ethereum Sepolia Testnet or Polygon Mainnet calculate fees and process payments using MetaMask.

All modules are integrated with a cloud backend, providing real-time updates and synchronization across mobile and web interfaces for seamless user experience and administrative control.

Technologies Used

Python

Python

React

React

Python

Tensorflow

Keras

Keras

MongoDB

MongoDB

Firebase

Firebase

Google Cloud

Google Cloud

Kafka

Kafka

Doker

Doker

Google Colab

Google Colab

Google map API

Google map API

Jwt

Jwt

Milestones

Timeline in Brief

  • July 2025

    Project Proposal

    A Project Proposal is presented to potential sponsors or clients to receive funding or get your project approved.

    Marks Allocated : 6

    6%

  • December 2024

    Progress Presentation I

    Progress Presentation I reviews the 50% completetion status of the project. This reveals any gaps or inconsistencies in the design/requirements.

    Marks Allocated : 6

    6%

  • March 2025

    Research Paper

    Describes what you contribute to existing knowledge, giving due recognition to all work that you referred in making new knowledge

    Marks Allocated : 10

    10%

  • Mar 2025

    Progress Presentation II

    Progress Presentation II reviews the 90% completetion status demonstration of the project. Along with a Poster presesntation which describes the project as a whole.

    Marks Allocated : 18

    18%

  • June 2025

    Website Assessment

    The Website helps to promote our research project and reveals all details related to the project.

    Marks Allocated : 2

    2%

  • June 2025

    Logbook

    Status of the project is validated through the Logbook. This also includes, Status documents 1 & 2.

    Marks Allocated : 3

    3%

  • April 2025

    Final Report

    Final Report evalutes the completed project done throughout the year. Marks mentioned below includes marks for Individual & group reports and also Final report.

    Marks Allocated : 19

    19%

  • May 2025

    Final Presentation & Viva

    Viva is held individually to assess each members contribution to the project.

    Marks Allocated : 20

    10%
Downloads

Documents

Please find all documents related to this project below.

Topic Assessment
Project Proposal
Research Paper
Final Report

Presentations

Please find all presentations related this project below.

Project Proposal
Progress Presentation I
Progress Presentation II
Final Presentation
About Us

Meet Our Team !

Dr. Kapila Dissanayaka
Dr.Sanika Wijayasekara

Supervisor

Sri Lanka Institute of Information Technology

Dr. Kapila Dissanayaka
Dr. Kapila Dissanayaka

Co-Supervisor

Sri Lanka Institute of Information Technology

Ilesingha I.T.S
Ilesingha I.T.S

Group Leader

Undergraduate

Sri Lanka Institute of Information Technology

Department

Information Technology

De Silva K.T.S.
De Silva K.T.S.

Group Member

Undergraduate

Sri Lanka Institute of Information Technology

Department

Information Technology

Arampath A.M.S.Y.
Arampath A.M.S.Y.

Group Member

Undergraduate

Sri Lanka Institute of Information Technology

Department

Information Technology

Jayaweera J.A.S.M.
Jayaweera J.A.S.M

Group Member

Undergraduate

Sri Lanka Institute of Information Technology

Department

Information Technology

Achievements

Award

This research has been peer-reviewed and published in the International Research Journal of Engineering and Technology (IRJET), demonstrating its contribution to the advancement of knowledge in the field of information technology. The findings and methodologies presented herein offer valuable insights and practical implications relevant to both academia and industry.

View Publication
Contact Us

Get in Touch

Contact Details

For further queries please reach us at parkvision@gmail.com

Hope this project helped you in some manner. Thank you!

Team ParkVision