Within Galileo

What Half a Million Sky Tracks Revealed

Galileo's early Dalek data showed that ordinary sky monitoring produces huge datasets, many false leads and few confidently strange cases.

On this page

  • The five month Dalek observing run
  • How many tracks became ambiguous
  • Why ordinary objects still dominate the dataset
Preview for What Half a Million Sky Tracks Revealed

Introduction

The first major result from the Galileo Project’s observatory programme was not the discovery of an extraordinary object. It was something arguably more important for a scientific UAP search: a detailed measurement of what an ordinary sky looks like when watched continuously by calibrated instruments. During a five-month commissioning run in 2024, the project’s infrared “Dalek” observatory recorded roughly half a million aerial-object trajectories and used automated analysis to sort them into known and potentially unusual categories. The headline finding was that genuinely unexplained cases were extremely rare, while ordinary aircraft, birds, insects, atmospheric effects and sensor ambiguities dominated the data. [Medium]avi-loeb.medium.comApproximately half a million trajectories of aerial objects wereCommissioning Data on Half a Million Objects in the Sky from…November 12, 2024 — This data contains half a million objects, obse…Published: November 12, 2024

Sky Census illustration 1 For advocates of observatory-based UAP research, that outcome was not a disappointment. It demonstrated why a systematic sky census is necessary. Before investigators can recognise anomalies, they must first learn what normal aerial activity looks like across hundreds of thousands of observations. [MDPI]mdpi.comCommissioning an All-Sky Infrared Camera Array for…by L Domine · 2025 · Cited by 11 — To address this deficiency, the Galileo Proj…

The Five-Month Dalek Observing Run

The dataset came from the Galileo Project’s first observatory, centred on an all-sky infrared instrument called Dalek. The system uses eight long-wave infrared cameras arranged to monitor a large portion of the sky continuously. Rather than waiting for reported sightings, it records aerial traffic routinely and reconstructs object trajectories automatically. [arXiv]arxiv.orgOpen source on arxiv.org.

Between January and May 2024, the observatory accumulated approximately 500,000 tracked aerial-object trajectories. Automated detection and tracking software identified moving objects and reconstructed their paths through the field of view. The project’s stated goal was not to hunt for spectacular cases immediately, but to build a baseline census of aerial phenomena against which future anomalies could be judged. [Medium+2arXiv]avi-loeb.medium.comApproximately half a million trajectories of aerial objects wereCommissioning Data on Half a Million Objects in the Sky from…November 12, 2024 — This data contains half a million objects, obse…Published: November 12, 2024

This distinction matters because many historical UFO claims emerge from isolated observations lacking comparison data. A census approach reverses that process. Instead of starting with a mystery and seeking an explanation, it starts with a massive catalogue of normal observations and asks whether anything genuinely falls outside those patterns. [MDPI]mdpi.comCommissioning an All-Sky Infrared Camera Array for…by L Domine · 2025 · Cited by 11 — To address this deficiency, the Galileo Proj…

How Many Tracks Became Ambiguous?

One of the most revealing statistics from the commissioning run concerns the filtering process itself.

The project reported that about 16% of the half-million reconstructed trajectories were flagged by its outlier-detection algorithms for closer inspection. That amounted to roughly 80,000 trajectories requiring additional review. After manual examination, nearly all of those apparent anomalies were resolved into ordinary explanations or data-quality issues. Only 144 trajectories remained classified as ambiguous. [Medium+2Digital Camera World]avi-loeb.medium.comApproximately half a million trajectories of aerial objects wereCommissioning Data on Half a Million Objects in the Sky from…November 12, 2024 — This data contains half a million objects, obse…Published: November 12, 2024

Even that figure requires careful interpretation. The Galileo team did not present the 144 cases as evidence of exotic technology. Instead, they noted that these objects were probably mundane but could not be confidently identified because the observatory lacked direct distance measurements during the commissioning phase. Without reliable range information, it can be difficult to determine an object’s true size, speed or altitude. A nearby insect and a distant aircraft can sometimes produce surprisingly similar signatures in a single sensor stream. [Medium+2Universe Today]avi-loeb.medium.comApproximately half a million trajectories of aerial objects wereCommissioning Data on Half a Million Objects in the Sky from…November 12, 2024 — This data contains half a million objects, obse…Published: November 12, 2024

The result illustrates an important lesson for automated UAP detection: most apparent mysteries emerge not because an object is extraordinary, but because key contextual information is missing. [arXiv]arxiv.orgOpen source on arxiv.org.

Sky Census illustration 2

Why Ordinary Objects Still Dominate the Dataset

The most significant finding of the sky census may be how effectively ordinary aerial phenomena overwhelm any search for rare anomalies.

The Galileo Project’s machine-learning systems were trained to recognise familiar categories such as aircraft, drones, balloons, birds and satellites. The commissioning data showed that these commonplace objects account for the overwhelming majority of detections. The challenge is therefore not finding unusual-looking tracks; it is reliably eliminating huge numbers of normal ones. [Phys.org]phys.orgAn all-sky infrared camera named Dalek continues the…April 9, 2025 — 9 Apr 2025 — Galileo Project proposes an All-Sky Infrared Camera…Published: April 9, 2025

This mirrors a broader reality in observational astronomy and surveillance science. When sensors operate continuously, they generate enormous quantities of data containing artefacts, environmental effects, partial detections and classification uncertainties. A successful anomaly-detection system must first master the mundane. [MDPI]mdpi.comCommissioning an All-Sky Infrared Camera Array for…by L Domine · 2025 · Cited by 11 — To address this deficiency, the Galileo Proj…

The commissioning run also highlighted a limitation that the project plans to address through future observatory upgrades. The team has argued that adding distance measurements through triangulation between detectors would dramatically improve classification accuracy. Range information would allow researchers to calculate true velocity and acceleration rather than relying solely on angular motion seen from one location. [Universe Today]universetoday.coman all sky infrared camera could search for alien spacecraft 1roughly 500,000 objects were detected in this period…

What the Census Means for Academic UAP Research

The sky census produced a result that differs sharply from many popular discussions of UFO evidence. Instead of a handful of dramatic cases, it generated a statistical portrait of aerial activity. The value of the dataset lies less in the 144 ambiguous tracks than in the hundreds of thousands of ordinary ones surrounding them. [Medium]avi-loeb.medium.comApproximately half a million trajectories of aerial objects wereCommissioning Data on Half a Million Objects in the Sky from…November 12, 2024 — This data contains half a million objects, obse…Published: November 12, 2024

From a scientific perspective, the commissioning run demonstrated that a dedicated UAP observatory can collect large volumes of calibrated, reproducible data and process them through transparent analytical pipelines. It also showed that automated systems can reduce half a million observations to a tiny set of unresolved cases without assuming those cases represent anything extraordinary. [arXiv+2arXiv]arxiv.orgOpen source on arxiv.org.

The central lesson of Galileo’s first sky census is therefore surprisingly simple: the path to identifying rare anomalies begins with understanding normality at scale. Before researchers can claim that something in the sky is genuinely unusual, they must first account for hundreds of thousands of things that are not. [Medium+2arXiv]avi-loeb.medium.comApproximately half a million trajectories of aerial objects wereCommissioning Data on Half a Million Objects in the Sky from…November 12, 2024 — This data contains half a million objects, obse…Published: November 12, 2024

Sky Census illustration 3

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Further Reading

Books and field guides related to What Half a Million Sky Tracks Revealed. Use these as the next step if you want deeper reading beyond the article.

BookCover for Extraterrestrial

Extraterrestrial

By Avi Loeb

Directly connects to the Galileo Project approach of instrument-based investigation of unusual aerial and astronomical phenomena.

BookCover for The UFO Experience

The UFO Experience

By Joseph Allen Hynek

Explores systematic classification and analysis of reported aerial phenomena, paralleling efforts to separate ordinary from unusual cases.

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Endnotes

  1. Source: avi-loeb.medium.com
    Title: Approximately half a million trajectories of aerial objects were
    Link: https://avi-loeb.medium.com/commissioning-data-on-half-a-million-objects-in-the-sky-from-the-galileo-project-observatory-are-a23bd084233a
    Source snippet

    Commissioning Data on Half a Million Objects in the Sky from...November 12, 2024 — This data contains half a million objects, obse...

    Published: November 12, 2024

  2. Source: arxiv.org
    Link: https://arxiv.org/abs/2411.07956

  3. Source: mdpi.com
    Link: https://www.mdpi.com/1424-8220/25/3/783
    Source snippet

    Commissioning an All-Sky Infrared Camera Array for...by L Domine · 2025 · Cited by 11 — To address this deficiency, the Galileo Proj...

  4. Source: arxiv.org
    Link: https://arxiv.org/abs/2305.18566

  5. Source: arxiv.org
    Title: arXiv Galileo Project Observatory Class System Architecture
    Link: https://arxiv.org/abs/2506.00125

  6. Source: phys.org
    Link: https://phys.org/news/2025-04-sky-infrared-camera-dalek-alien.html
    Source snippet

    An all-sky infrared camera named Dalek continues the...April 9, 2025 — 9 Apr 2025 — Galileo Project proposes an All-Sky Infrared Camera...

    Published: April 9, 2025

  7. Source: digitalcameraworld.com
    Link: https://www.digitalcameraworld.com/photography/astrophotography/harvard-researchers-are-using-this-strange-looking-camera-to-look-for-extraterrestrial-evidence-in-the-skies
    Source snippet

    Harvard researchers are using this strange-looking...11 Apr 2025 — The Galileo Project's Dalek uses eight infared cameras to scan the en...

  8. Source: universetoday.com
    Title: an all sky infrared camera could search for alien spacecraft 1
    Link: https://www.universetoday.com/articles/an-all-sky-infrared-camera-could-search-for-alien-spacecraft-1
    Source snippet

    roughly 500,000 objects were detected in this period...

  9. Source: Wikipedia
    Title: The Galileo Project
    Link: https://en.wikipedia.org/wiki/The_Galileo_Project
    Source snippet

    The Galileo ProjectThe Galileo Project is an international scientific research project to search for extraterrestrial intelligence or...

Additional References

  1. Source: researchgate.net
    Link: https://www.researchgate.net/publication/388466760_Commissioning_an_All-Sky_Infrared_Camera_Array_for_Detection_of_Airborne_Objects
    Source snippet

    (PDF) Commissioning an All-Sky Infrared Camera Array for...10 Jan 2025 — The Galileo Project released the commissioning analyzing half a...

  2. Source: lsst.ac.uk
    Link: https://www.lsst.ac.uk/science
    Source snippet

    UK ScienceTo help scientists study the potential 10 million changes in the sky every night, Rubin will send alerts of a group of com...

  3. Source: youtube.com
    Link: https://www.youtube.com/watch?v=oDAY0_wRjxA
    Source snippet

    Inside the AI Alien Hunting Project at HarvardAre we alone in the universe? Harvard Professor Avi Loeb says he doesn't think so. He and h...

  4. Source: a2news.com
    Title: ne kerkim te provave te jetes jashtetokesore cfare eshte zbul i1145559
    Link: https://a2news.com/english/argetim/teknologji/ne-kerkim-te-provave-te-jetes-jashtetokesore-cfare-eshte-zbul-i1145559
    Source snippet

    In the search for evidence of extraterrestrial life, what has...15 Apr 2025 — It's called Dalek, an infrared camera designed to scan the...

  5. Source: thedebrief.org
    Link: https://thedebrief.org/galileo-project-releases-commissioning-data-on-half-a-million-aerial-objects-are-any-of-them-uap/
    Source snippet

    of eight uncooled infrared cameras placed on half a sphere. the five-month...

  6. Source: galileo.hsites.harvard.edu
    Link: https://galileo.hsites.harvard.edu/publications
    Source snippet

    The Galileo Projectthe Galileo Project is. Cosmic spherules have largely been classified into S-, Research Notes of the AAS 8, 39 (2024...

  7. Source: impact.sloan.org
    Title: share tactics bad63e328931
    Link: https://impact.sloan.org/share-tactics-bad63e328931
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    Sky Survey That Set the Data Free | by Colton Poore22 Apr 2026 — SDSS data have generated nearly 16,000 peer-reviewed papers that have ga...

  8. Source: youtube.com
    Title: Avi Loeb | The Crisis of Perception: UFOs, AI & Reality | TFP #103
    Link: https://www.youtube.com/watch?v=1AvUp7cuo7E
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    The Plan to Search for Alien Technology on Earth with Avi Loeb...

  9. Source: youtube.com
    Title: The Galileo Project’s First Data on Half a Million Objects with Avi Loeb
    Link: https://www.youtube.com/watch?v=uJtER5ahdPY
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    Using AI to detect strange events in the sky...

  10. Source: youtube.com
    Title: Using AI to detect strange events in the sky
    Link: https://www.youtube.com/watch?v=nHMEfP68jqI
    Source snippet

    The Galileo Project's Search for UAP - with Andy Mead | Merged EP0115...

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