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Hey - great and important idea.

Have you discussed / looked into sampling environmental radio noise at various frequencies and locations and then interpolating samples of them within the video and audio itself at recording-time?

(ideally along with some kind of near-unfalsifiable timestamp signals and/or device keys to confirm that "yes, this unique device was here at this time and the proof is within the pudding)

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Currently, we are consider image, video and audio data types. This multi-modal idea sounds interesting none the less, thanks for sharing :)

Thanks! You're welcome. The noise signature could be included in-band, and wouldn't necessarily require multiple machine learning models to verify.

You're right, in-band noise signatures is a pretty cool idea. We take inspiration from digital signal processing techniques when building our ML products.

Grand. Take with a grain of salt, but it's possible you could find https://osf.io/m43tg/ worth a look.

There are companies that already provide this kind of service so it might be interesting for you to combine efforts:

https://www.youtube.com/watch?v=e0elNU0iOMY

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