AI-Powered Military Border Surveillance System Using Face Recognition and Military Vehicle Detection

Abstract

The Project presents an AI-powered surveillance system designed for military border security using two core modules. The first module uses Haar-Cascade-based facial recognition to detect and recognize trained military personnel faces. If an unauthorized face is detected, the system captures the image, determines the current location, and sends an alert email to concerd authorities [10]. The second module focuses on detecting military vehicles using a YOLOv8 deep learning model [4],[5].The model is trained on a dataset of military vehicles and deployed to monitor the border area. On detecting a vehicle, it captures the image, calculates the distance from the camera using image-based estimation, logs the location, and sends an alert email. This dual-module system helps reduce human dependency, increases accuracy, and provides real-time responses to potential threats on the border.