A Commercial UAV Expo panel on what AI actually delivers in commercial drone work today, and where operators are keeping humans in charge of mission critical calls.
A Commercial UAV Expo panel in Las Vegas this week put a number on a problem operators are hitting as they scale. Vikhyat Chaudhry of Buzz Solutions, whose utility customers now run self-recharging drone-in-a-box and drone-in-a-dock systems at substations, said frequent autonomous inspections produce 10 to 20 times more imagery than a single pilot flying a single aircraft, and one dock-based fleet can hand off 6,000 images from a single job.
The other two practitioners on the panel drew the same lines. Ismar Avdic of Stratus Autonomous framed the problem as data volume rather than autonomy hype: drones now generate so much imagery that human-only review is no longer tractable. Buzz Solutions keeps deterministic models in charge of mission-critical inspection findings and uses generative AI only to triage routine versus engineer-actionable results and add context. Desiree Eckstein of On the Go Video pressed the human-in-the-loop point: organizations must be able to explain and justify conclusions rather than defer to a black box on safety-critical work.
The AI win in commercial drones right now is closing the data-review gap that scaling persistent operations just created, not replacing the operator.