Vision-Based Smart Parking System for Campus Vehicles

Authors

  • MD. Aamir Hussain UG Scholar, Dept. of CSE KPR Institute of Engineering and Technology, Coimbatore, India Author
  • Rahamate Alam Ansari UG Scholar, Dept. of CSE KPR Institute of Engineering and Technology, Coimbatore, India Author
  • Biplab Das Associate professor II, Dept. of CSE (Artificial Intelligence and Machine Learning) KPRIET Coimbatore, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0395

Keywords:

Smart Parking System, Computer Vision, OpenCV, Real-Time Monitoring, Parking Slot Detection, Improper Parking Detection, Image Processing

Abstract

The parking slots in the campus or the city area provide visual information, which is an important aspect in the efficient utilization of the parking slots. The traditional approach in monitoring the parking slots is not efficient, and many inaccuracies are present in the traditional approach, which may cause congestion and inefficient utilization of the parking slots. The proposed research is focused on developing a production-ready smart parking system that accurately detects the parking slot using computer vision. The proposed smart parking system accurately detects the parking slot using computer vision by employing image processing techniques for the accurate detection of the improperly parked vehicles. The proposed smart parking system may be developed by employing image processing techniques for the accurate detection of the parking slot.

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Published

2026-05-09

How to Cite

Vision-Based Smart Parking System for Campus Vehicles . (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(05), 3115-3120. https://doi.org/10.47392/IRJAEH.2026.0395