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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

INTELLIGENT VECHILE CLASSIFICATION SYSTEM

D Abhiram U Nagarjuna G Abhinay Reddy E Aravind

Kishor kumar

Dept of CSE VJIT Technical Campus

Hyderabad Telangana India
DOI:https://doi.org/10.55041/ijcope.v2i5.003

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Traffic congestion and inefficient toll management are significant challenges in modern urban infrastructure. This project proposes an Intelligent Vehicle Classification System that utilizes a high-speed Convolutional Neural Network (CNN), specifically the YOLO (You Only Look Once) architecture, for real-time traffic analysis. The system is designed to automatically detect, track, and categorize vehicles into multiple classes such as Sedans, SUVs, Buses, and Heavy Trucks from live CCTV feeds. By integrating a secondary colorrecognition layer, the system provides high-fidelity metadata for every detected vehicle. Designed for Edge AI deployment, this solution eliminates the need for manual entry at toll plazas and high-security zones, offering a scalable approach to smart city surveillance, automated law enforcement, and data-driven urban planning.

How to Cite this Paper

Abhiram, D., Nagarjuna, U., Reddy, G. A. & Aravind, E. (2026). Intelligent Vechile Classification System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.003

Abhiram, D, et al.. "Intelligent Vechile Classification System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.003.

Abhiram, D,U Nagarjuna,G Reddy, and E Aravind. "Intelligent Vechile Classification System." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.003.

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References


  1. Ultralytics YOLOv8 Documentation
    YOLOv8 Documentation and Usage Guide.
    ➤ Used for understanding model training, detection, and deployment.

  2. Introducing Ultralytics YOLOv8 Blog
    Ultralytics Team (2023). YOLOv8: Real-time Object Detection Framework.
    ➤ Provides overview of YOLOv8 features and performance improvements.

  3. Ultralytics YOLO GitHub Repository
    Jocher, G., Chaurasia, A., Qiu, J. (2023). YOLO by Ultralytics.
    ➤ Source code and implementation details of YOLO models.

  4. YOLOv8 Citation Reference (SCIRP)
    Jocher, G., Chaurasia, J., Qiu, A., Stoken, K. (2023).
    ➤ Official reference format for citing YOLOv8 in academic work.

  5. Ultralytics YOLO Evolution Research Paper
    Sapkota, R., Karkee, M. (2025). YOLO Evolution Overview.
    ➤ Discusses advancements and architecture of YOLO models including YOLOv8.

  6. YOLOv8 Model Documentation (GitHub Docs)
    Ultralytics (2023). YOLOv8 Model Architecture and Usage.
    ➤ Provides technical details and implementation examples.

  7. Kaggle Dataset
    Vehicle Detection Dataset (Kaggle)
    ➤ Used for training and testing the vehicle classification model.

  8. OpenCV Documentation
    https://docs.opencv.org/
    ➤ Used for image processing and video handling.

  9. NumPy Documentation
    https://numpy.org/doc/
    ➤ Used for numerical computations.

  10. PyTorch Documentation
    https://pytorch.org/docs/
    ➤ Used for deep learning model implementation.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 05 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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