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

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.