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First-time day at Skydio

Catch vehicles in glare without draining mission power

You’re the ai / ml engineer. Your team is in the room. Printed Oct 13, 2026.

Glare hides the vehicles that inspection missions are meant to surface.

Higher recall protects operational awareness, while embedded latency and power protect mission duration.

Who you’d be doing this for

“I watched the clip twice before spotting the truck, and my supervisor had already asked why no alert came through.”

Yasmin Sadeghi · Utility Operations Manager

Runs remote inspection programs across substations and depends on mission alerts to focus operator review.

What is at stake

Glare-heavy substation missions detect only 76% of labeled vehicles, despite normal video and flight data. You must weigh stronger visual recall against the latency and power limits that keep missions usable.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • vehicle recall vs embedded power use
  • glare robustness vs false activity alerts
  • training-data breadth vs iteration speed
  • model improvement vs image-processing intervention

Why Skydio

Autonomous inspection missions depend on onboard perception that remains reliable across the visual conditions encountered at critical-infrastructure sites.

Written with these in mind

computer vision engineeredge ML engineerautonomy perception engineer

Not your kind of problem? 61 more at Skydio, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.