The US Department of Defense is exploring the use of artificial intelligence, machine learning, and computer vision to accelerate how troops detect, track, and engage small drones during counter-unmanned aircraft system (C-UAS) operations.
Overseen by the Defense Innovation Unit, the “C-UAS Close-In Kinetic Defeat Enhancement” project centers on aided target recognition, which uses AI to help operators distinguish drones from non-threats such as birds while speeding up targeting decisions.
The first phase focuses on integrating AI into vehicle-mounted weapon systems, including the Common Remotely Operated Weapon Station, to improve drone detection, tracking, and engagement.
Read the full story on our new publication, Military AI: AI Takes Larger Role in Pentagon’s New Counter-Drone Targeting Push
