The Galileo Project has reported its first results from a three-site infrared camera network near Las Vegas, addressing a basic obstacle in UFO analysis: measuring how far away a target is. The manuscript, announced on September 24, tests whether simultaneous views can recover an object’s position and motion.
In his announcement, project director Avi Loeb explains the motivation. Similar-looking movements across an image can correspond to very different physical speeds, depending on distance. The observatory uses separated cameras to provide additional sightlines rather than leaving range as an unknown.
A test against known aircraft
The September 24 manuscript describes three stations, each carrying eight long-wave infrared cameras. Its analysis covers May 24–30, 2026. The authors checked reconstructed tracks against aircraft positions transmitted through Automatic Dependent Surveillance–Broadcast, or ADS-B.
The paper reports distance estimates within five percent for 99 percent of aircraft reconstructed from three sites. Speed estimates reached that accuracy for 78 percent. Those different figures matter: recovering position accurately does not guarantee equally accurate measurements of how quickly it changes.
Among 365 objects reconstructed from all three sites with at least 201 samples, 284 matched aircraft broadcasts. Another 17 had aircraft-like motion without a matching identification. The remaining 64 slow-moving tracks were identified on inspection as small clouds.
What the result can support
Loeb’s account says the analysed week produced no identified population beyond ordinary natural and human-made objects. He also describes an important technical difficulty: detections from different cameras must belong to the same target. Incorrectly matching separate objects can create a false reconstructed position.
The manuscript is marked as submitted to Sensors; it should be read as a prepublication result. Its sensitivity also depends on apparent size and thermal contrast.
For readers assessing UAP claims, the useful distinction is between an unidentified track and unusual measured behaviour. A missing identity alone supplies little information about origin. A calibrated trajectory, with stated uncertainty and a comparison against known objects, gives investigators something more specific to test.
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