Real-Time AI-Based Border Surveillance System for Military Threat Detection | International Journal of Electrical, Electronics and Computer Systems

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Published: Jun 5, 2026

Keywords:

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

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

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.

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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