Even more imprecise than a blurry polaroid picture, or than a filter-abused instagram shot.
Using the most advanced algorithms based on machine learning and computer vision, here is ‘Le myope’, a short-sighted camera.
The new iteration of the layercam ‘Why are you taking this picture? It’s already on the Internet!’ is a Raspberry Pi based camera, that takes a picture and returns a similar one from Google similar image search.
Use it in a popular place and chances are that you will get the same picture taken by someone else. (That happened with the mural during one of the tests)
Use it in a remote place and get random roughly similar pictures from all over the internet!
Bill of materials:
• Raspberry Pi (rpi 2)
• a couple of wires
• good ol’ Raspberry Pi camera module
• 10 ohms resistor
• push button
• Belkin N150 micro Wireless USB adapter
• battery to power the Pi (a Duracell Instant USB Charger in my case)
• screen (4.3 Inch LCD TFT Rearview Monitor screen)
• rechargeable 9V battery to power the screen up, because I wasn’t able to hook the screen up on the pi 5v alim
• a bit a MDF
• a laser-cutter (the one at Carrefour numérique)
Here is the code for the button, to launch the python script
Here is the code to take a picture, upload it, launch the google image scrapper and display the approximate resulting picture:
Here is the basic google image scrapper I did with casperJS:
- activate picamera: https://www.raspberrypi.org/documentation/usage/camera/python/README.md
- install casper js: https://quaintproject.wordpress.com/2015/04/26/how-to-install-casperjs-on-the-raspberry-pi/
- install feh: http://raspberrypi.stackexchange.com/questions/1391/can-anyone-recommend-a-simple-image-viewer