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

P. P. Kulkarni; Tejashree Balaso Sale; Seema Ramesh Dhope; Nikita Rameshrao Devsarkar; Sakshi Haridas Bobade

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.

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

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