AI-Automated Swarm Drone System with Advanced Targeting, Added Countermeasures, and Improved Stealth Technology

This theoretical research paper explores a hypothetical advanced drone swarm system comprising 50 AI-automated, self-driven drones, each equipped with face detection, self-target locking, and a destructive payload designed to release energy comparable to a high energy weapon, deployed from a larger aerial platform. Framed strictly for academic inquiry to avoid any harm, the study delves into the scientific and engineering feasibility of such a system. It examines the intricate mechanisms of swarm intelligence and collective autonomy, including advanced coordination algorithms and resilient communication protocols. The report further investigates AI-driven autonomous navigation, focusing on multi-sensor fusion, real-time obstacle avoidance, and precision targeting with integrated face detection. A significant portion addresses the theoretical basis and immense challenges of a high energy payload, contrasting it with more feasible directed energy weapon concepts and their power and thermal management requirements. The logistical aspects of mothership deployment and aerial integration are also explored. Finally, the paper critically analyzes the profound ethical, legal, and societal implications of such Lethal Autonomous Weapon Systems (LAWS), particularly concerning international humanitarian law, the accountability gap, the AI arms race, and the imperative of meaningful human control, highlighting that while many components are subjects of active research, the high-energy payload remains largely speculative and faces fundamental barriers.