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Bird or Drone? The Hardest Classification Problem in Counter-UAS Isn't the One You'd Expect

Bird or Drone? The Hardest Classification Problem in Counter-UAS Isn't the One You'd Expect

Published 1 month, 1 week ago
Description

This story was originally published on HackerNoon at: https://hackernoon.com/bird-or-drone-the-hardest-classification-problem-in-counter-uas-isnt-the-one-youd-expect.
This article is about why a bird and a drone are so hard to tell apart, the handful of physical signatures we can actually exploit, etc.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #drone, #drone-technology, #defense-tech, #counter-uas, #c-uas-sensor-fusion, #drone-threat-detection, #airport-drone-security, #small-object-detection, and more.

This story was written by: @vishwagw. Learn more about this writer by checking @vishwagw's about page, and for more stories, please visit hackernoon.com.

This is the bird vs. drone problem, and it is the most consequential unglamorous challenge in counter-unmanned aircraft systems (C-UAS). It sounds trivial. A human standing in a field can usually tell a hawk from a quadcopter in a second or two. But asked to do it automatically, from a tiny smudge of pixels half a mile away, in changing light, fast enough to act, and without crying wolf at every gull and pigeon in the sky, and the problem turns brutal. And getting it wrong in either direction is expensive in ways that decide whether a system is deployable at all.

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