MRI
MRI India Journals Vol. 15 No. 1 (2026)

Real-Time AI-Based Border Surveillance System for Military Threat Detection

Authors

  • P. P. Kulkarni Department of Computer Engineering, S. B. Patil College of Engineering, Indapur
  • Tejashree Balaso Sale Department of Computer Engineering, S. B. Patil College of Engineering, Indapur
  • Seema Ramesh Dhope Department of Computer Engineering, S. B. Patil College of Engineering, Indapur
  • Nikita Rameshrao Devsarkar Department of Computer Engineering, S. B. Patil College of Engineering, Indapur
  • Sakshi Haridas Bobade Department of Computer Engineering, S. B. Patil College of Engineering, Indapur

Keywords:

Artificial Intelligence (AI) Machine Learning (ML) Deep Learning Computer Vision Image Processing Real-Time Monitoring Face Recognition Military Surveillance

Abstract

This paper presents an AI-powered military border surveillance system that integrates face recognition and vehicle detection for enhanced security. The system uses Haar Cascade and LBPH algorithms to identify authorized personnel and YOLOv8 for real-time military vehicle detection. It continuously monitors live video feeds and generates instant alerts for unauthorized access. The proposed system improves accuracy, reduces human dependency, and enables faster response, making it effective for modern border surveillance applications.

 

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Published

2026-06-05

How to Cite

Kulkarni, P. P., Sale, T. B., Dhope, S. R., Devsarkar , N. R., & Bobade, S. H. (2026). Real-Time AI-Based Border Surveillance System for Military Threat Detection. International Journal of Electrical, Electronics and Computer Systems, 15(1), 40–47. Retrieved from https://journals.mriindia.com/index.php/ijeecs/article/view/3398

Issue

Vol. 15 No. 1 (2026)

Section

Articles

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