Vigi-Sky method — authenticity check

Is that UFO video real or AI-generated?
The physics-based method

Now that video generators can produce photorealistic "UFOs" in ten seconds, the first question is no longer "what is it?" but: did this video ever pass through a real lens? Good news: the physics of a real camera is hard to fake. And it can be measured.

A filmed video carries three physical signatures that generators imitate poorly. Here is how to check them — by eye first, by machine second.

The three physical clues

1 Photon shot noise

On a real sensor, noise increases with brightness — a physical law (shot noise scales with the square root of the signal). Bright areas of a real video "crawl" more than dark ones. AI generators produce the opposite: flat, uniform, decorative grain — or no grain at all.

Check it yourself: pause the video and zoom into a bright area, then a dark one. Real camera: the grain differs. AI: the texture is eerily homogeneous everywhere.

2 Hand-held micro-shake

A hand-held video always shakes — a 1–8 Hz muscular tremor nobody can suppress voluntarily. Generated videos glide with unreal smoothness: the camera "floats" as if on an invisible rail, without the slightest vibration.

Check it yourself: follow a fixed detail (a star, a street light) frame by frame. If it glides without ever vibrating in supposedly hand-held footage, be suspicious. Caveat: a tripod or software stabilization also removes shake — this clue alone is never enough.

3 Frame cadence

Many generators produce fewer real frames than advertised: they duplicate or interpolate frames to reach 30 fps. The result: an abnormal rate of near-identical frames, invisible during playback but measurable frame by frame.

Check it yourself: step through frame by frame (press "," and "." on YouTube). If every other frame is identical to the previous one, the cadence is artificial.

Summary

ClueReal cameraGenerated / heavily processed
Sensor noiseGrows with brightness (photon noise)Flat, uniform or absent
Micro-shakePresent when hand-held (1–8 Hz)Sweeping yet perfectly smooth motion
Frame cadenceEvery frame is uniqueDuplicated or interpolated frames

The limits — read this before crying "fake"

None of these clues is proof. Heavy compression (WhatsApp, repeated re-shares) crushes sensor noise. Software stabilization smooths the shake. A tripod legitimately removes it. What should raise a flag is the accumulation of atypical clues combined with a missing original file — never a single clue in isolation.

And the other way around: a video that passes all three tests is not "proven authentic". The only real answer remains the original file, with its metadata, provided by the witness.

Automated analysis

Eyeballing a noise-to-luminance correlation or a shake spectrum has its limits. VigiSky Sentinel measures it by machine: load the video, the app measures the three clues, tracks every moving object (trajectory, angular speed, light curve — it recognizes aircraft strobe lights by their frequency) and returns a cautious verdict, with its limits stated in plain words.

Download VigiSky Sentinel — free Windows · 100% local, your video never leaves your PC · authenticity clues + motion analysis

Frequently asked questions

Can you prove a video is AI-generated?

No. You can measure clues that make synthesis likely, but none is proof: aggressive compression produces similar signals. The only real answer is the original file with its metadata.

Don't AI-versus-AI detectors do better?

Trained classifiers fail with confidence and age with every new generation of models. Physical clues do not go out of fashion: photon noise is a law of the sensor, not a trend. Both approaches complement each other — ours has the advantage of being explainable line by line.

What if the video comes from a tripod or a security camera?

The shake clue becomes unusable — and an honest tool must say so rather than count it against the video. That is exactly what Sentinel reports: "camera perfectly still, clue unusable".

What should I do when I receive a suspicious video?

Ask for the original file (not a screenshot, not a re-share). Note the source and date. Run it through Sentinel. Facts first, interpretation second.

⭐ Proof by the stars: the test no AI can fake

An AI-generated video can imitate lights, blur, grain. What it cannot imitate is the exact astrometric sky of a given date and place. Our method recomputes the entire claimed sky — 8,858 stars, planets, the Moon, satellite passes, air traffic — and confronts the video with it:

Each test returns its own verdict — confirmed, contradicted, or untestable — never a magic "real/fake". This is the method our free app VigiSky Sentinel already applies through star anchoring and the satellite/aircraft counter-checks of its video analyses.

🕳️ Detecting an object that emits NO light at all

The classic objection: "your methods assume the object shines". Not anymore. A filmed starry sky is a grid of thousands of control points: a dark object crossing in front of the stars extinguishes them one by one. Our app Sentinel monitors the flux of every fixed star in the field and recognizes the signature of a compact shadow: sequential, aligned, constant-velocity extinctions — where a cloud blots everything out at once, widely and without order. Bird, balloon, cable… or something more interesting: the shadow is measured (speed, width, trajectory) and added to the case file with the same careful vocabulary as everything else.