7/14/2023 0 Comments Angry bots camera![]() So if you take a picture on a smartphone, the results are not as premeditated as they are premediated. It links control robotics, object recognition, and machine learning technologies. Computational photography has expanded to cover all of this. ![]() It might flag your debt, play your games, broadcast your heartbeat. It might report you or someone from your network to the police, PR agencies, or spammers. It might be fitted with a so-called dick algorithm to screen out NSFW (Not Suitable/Safe For Work) content, automodify pubic hair, stretch or omit bodies, exchange or collage context, or insert location-targeted advertising, pop-up windows, or live feeds. Similarly, a device might be programmed to autopixelate, erase, or block secret, copyrighted, or sexual content. It could be disabled in certain places-one could for instance block its recording function close to protests or conversely broadcast whatever it sees. All sorts of systems are able to remotely shut your camera on or off: companies, governments, the military. It will increase the amount of noise just as it will increase the amount of random interpretation.Īnd that’s not even to mention external interference into what your phone is recording. It makes seeing unforeseen things more difficult. It is a gamble with probabilities that bets on inertia. ![]() This type of photography is speculative and relational. The result might be a picture of something that never even existed, but that the algorithm thinks you might like to see. This new paradigm is being called computational photography. It creates the present picture based on earlier pictures, on your/its memory. By comparing what you and your network already photographed, the algorithm guesses what you might have wanted to photograph now. It analyzes the pictures you already took, or those that are associated with you, and it tries to match faces and shapes to link them back to you. The trick, then, is to write the algorithm to clean the noise, or rather to discern the picture from inside the noise.īut how can the camera know how to do this? Very simple: it scans all other pictures stored on the phone or on your social media networks and sifts through your contacts. But is this really true anymore? The developer explained to me that the technology for contemporary phone cameras is quite different from traditional cameras: the lenses are tiny and basically crap, which means that about half of the data being captured by the camera sensor is actually noise. Photography is traditionally thought to represent what is out there by means of technology, ideally via an indexical link. A while ago I met an extremely interesting software developer who was working on smartphone camera technology.
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