Fly AI

Happy 2017, everybody! We’re back in the office (for values of “we” equal to me and a cup of coffee – the rest of your friendly Comms team is still on vacation). I hope your New Year’s resolutions are still unbroken. Mine involves that coffee, which doesn’t have any sugar in it and is making January feel much bleaker than necessary. I’ll be fascinated to see how long I can keep it up.

On to the Pi stuff.

I spotted this magnificently creepy art installation from David Bowen just before Christmas, and have been looking forward to showing it to you, because I like to know I’m not the only person having specific nightmares. In this project, a Raspberry Pi AI is mothering a colony of flies: whenever if spots and correctly identifies a fly, it releases a dose of nutrients and water.

flyAI

flyAI creates a situation where the fate of a colony of living houseflies is determined by the accuracy of artificial intelligence software. The installation uses the TensorFlow machine learning image recognition library to classify images of live houseflies. As the flies fly and land in front of a camera, their image is captured.

David says: “The system is setup to run indefinitely with an indeterminate outcome.”

Which means there’s potential for an awful lot of tiny corpses.

It all sounds simple enough, but there’s something about the build – the choice of AI voice, the achingly slow process of enunciating everything it believes it might have seen before it feeds its wards…the fact that the horrible space-helmet-bubble thing is full of flies – that makes for the most unsettling project we’ve seen in a long time.

Fly AI

If you are inspired by this arthropod chamber of horrors, you can read about more of David’s projects on his blog. You’ll be delighted to learn than this is not the only one employing house-fly labourers. More power to all six of your elbows, David.