

Matched using perceptual hash algorithms that have an accuracy between 20% and 40%.
I’m a programmer and amateur radio operator.


Matched using perceptual hash algorithms that have an accuracy between 20% and 40%.


There’s a smaller version of type F that has the same frame as type N, just missing the middle pin, so it is reversible. It has the same risk of reversing neutral and phase as type F, but (while I’m no expert) that has never been a problem for me.


It’s missing the European high voltage plugs as well.


You can do this in VLC, though it’s not very practical. VLC’s equalizer has a preamp slider, it’s just not great if you want to change it all the time.
It might have been the fingerprint sensor. They can be fooled. Mine occasionally thinks the inside of my trouser pocket looks just like my finger.


I would also recommend consent-o-matic. It works really well, and has a really simple interface for letting the devs know when it doesn’t work.
Congratulations on passing your exam first try!
Out of interest, what license was it?
Unfourtunately, I couldn’t find a source stating it would be required. AFAIK it’s been assumed that they would use perceptual hashes, since that’s what various companies have been suggesting/presenting. Like Apple’s NeuralHash, which was reverse engineered. It’s also the only somewhat practical solution, since exact matches would be easily be circumvented by changing one pixel or mirroring the image.
Patrick Breyer’s page on Chat Control has a lot of general information about the EU’s proposal.