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General aviation / Collision avoidance

See the traffic
today’s systems
can’t.

Atlas is building the first supplemental vision system that removes that dependency. Atlas detects nearby aircraft visually, directly from the cockpit, no cooperation required from anyone else in the sky. It’s a layer of awareness that works regardless of what the other aircraft is or isn’t carrying.

Prototype output: aircraft detected and boxed in real time by Atlas's early model.
Early detection model localizing aircraft in real time. On-frame boxes are live model detections.
  • Optical detection
  • Non-cooperative
  • Real-time · edge
  • Pilot-founded

01 The problem

Today’s collision avoidance depends on regulation.

“See-and-avoid” is still the backbone of GA safety, but human scanning has limits, and the electronic tools meant to help only go so far.

Systems like ADS-B show traffic that’s equipped and broadcasting, which means the aircraft that aren’t stay invisible. Safety today depends on regulations, and on other pilots opting in.

The aircraft you can’t see is the one that matters.

Cooperative only

ADS-B / transponder traffic surfaces. Non-equipped aircraft do not.

Opt-in dependent

Visibility relies on the other aircraft choosing to broadcast.

Human fallback

See-and-avoid carries the gap, limited by attention and blind spots.

02 The solution

Atlas sees the aircraft, instead of waiting for a signal.

Atlas detects aircraft optically, the way a pilot’s eyes would, but without lapses or blind spots. Because it sees rather than listens for a broadcast, it works whether or not the other aircraft is equipped.

This is non-cooperative detection: nothing is required from anyone else in the sky. It’s a supplemental layer that augments the pilot’s scan and existing certified avionics, not a replacement for them.

Atlas traffic display showing own-ship and surrounding aircraft on a moving map.
Traffic picture rendered for the pilot, showing own-ship and surrounding aircraft.

I

Optical

Detection comes from what the camera sees, not from a cooperating transmitter.

II

Non-cooperative

No transponder, mandate, or opt-in needed from the other aircraft.

III

Supplemental

Augments the human scan and certified equipment already in the cockpit.

03 Why this works / why now

Vision is the one detection method that doesn’t ask the other aircraft to participate.

The insight

Every cooperative system shares one assumption: the other aircraft is broadcasting. Remove that assumption and the only detection method left standing is seeing the aircraft directly. That’s the wedge, and it doesn’t depend on anyone else acting.

The timing

Affordable cameras and maturing real-time computer vision on edge hardware make cockpit-grade optical detection newly feasible. The capability that was impractical a few years ago is now within reach of a small, focused team.

04 Technology

A proprietary real-time vision model, built for the cockpit.

Detecting aircraft from the cockpit is a genuinely hard computer-vision problem: small, distant objects against bright and variable sky, identified early enough to matter, on hardware that fits an aircraft and runs in real time.

We’re building a proprietary model for exactly this. Early models are working today; the production vision model is in active development.

Mockup of a general-aviation cockpit with a windshield-mounted device showing the Atlas traffic display.
Concept mockup. Windshield-mounted install in a general-aviation cockpit, traffic display in view.

Small-object detection

Distant aircraft occupy a handful of pixels against open sky.

Real-time inference

Detections have to arrive while there is still time to act.

Edge constraints

Runs on hardware sized and powered for the aircraft itself.

Varied conditions

Cloud, glare, haze, and changing light across a flight.

DEVELOPMENT STATUS Early models working Proprietary model in development

05 Validation

Confirmed

Oregon Innovation Challenge

Founders · OIC Fellows

06 Team

The person building the model also flies the airplane.

Founder-market fit is the point: a private pilot who is also one of the engineers building the detection system. The problem is understood from inside the cockpit.

KS

Kellen Snider

Co-founder · Engineer · Private Pilot

Software engineer and private pilot. Builds the detection system with firsthand knowledge of the cockpit it serves.

DM

Drew Moulton

Co-founder · Engineer

Software engineer with years of experience in startups, including running his own software consulting business.

07 Mission

Put more safety in the hands of the pilots flying the airplane, without waiting on anyone else to act.

08 Contact

Building this in the open with the right partners.

Investors, technical builders, pilots. If the wedge resonates, we’d like to talk.

Prefer email? kellen@fly-atlas.com