AUTOMATED SURVEILLANCE SYSTEM FOR MILITARY BASES THROUGH INTEGRATED FACIAL RECOGNITION AND WEAPON DETECTION

Abstract

Modern military bases need the most sophisticated safety measures possible. This paper proposes a software solution that makes use of cutting-edge technology like face recognition and weapon detection to improve perimeter security. Using face recognition algorithms, the system seeks to identify possible invaders while concurrently identifying and categorizing any weapons they could be carrying. The technology is designed to detect threats and promptly notify those in authority in order to enable prompt and decisive responses. Key considerations include ensuring the accuracy, reliability, and scalability of the system, as well as addressing ethical and regulatory concerns surrounding data privacy and algorithmic biases. By integrating seamlessly with existing surveillance infrastructure, this software offers a proactive approach to safeguarding military installations, ultimately enhancing overall security and operational readiness. Key Words: Face recognition, Weapon detection, Real-time monitoring, Military base security, Alarm system