Sandia Labs, together with the Department of Homeland Security’s Science and Technology Directorate, is working on a novel drone-detection technique. Sandia’s method is video-based. Called “temporal frequency analysis,” it analyzes pixel fluctuations in recorded footage of a drone, and then applies machine learning to that footage to train the algorithm to recognize all drones like it in the future, and then anticipate their movements.