[jononor]

I agree that this is not a "big data" type problem, and that your approach of modelling the normal days is the way to go. Basically outlier/anomaly detection. But still, before on has 3-10 examples of the event being looked for - it is very hard to say something meaningful about how well it will work in practice. Getting over to the low data regime from the current zero data regime would help.

[defrost]

The insight from decades in exploration is "all anomalies are interesting"; the background drone matching helps to find the things of interest (until they're common and understood) - cats fighting, cats having sex, kittens stalk playing, etc. are all going to have differing (and overlapping) fingerprinting.

As with many projects of this nature there's very little more to say at this point in time until there's a pile of data to start wading through :)

Maybe someone will run with it.