===== Picture This =====

A connected picture frame displaying historic images

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===== Story =====

  * The Picture This "smart" frame shows police photographs of homeless people by Carl Durheim (1810-1890)
  * By looking at a picture, you trigger a face detection algorithm to analyse both, you and the homeless person
  * The algorithm detects gender, age and mood of the person on the portrait (not always right)
  * You, as a spectator, become part of the system / algorithm judging the homeless person
  * The person on the picture is at the mercy of the spectator, once again

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===== How it works =====

  * Picture frame has a camera doing face detection for presence detection
  * Pictures have been pre-processed using a cloud service
  * Detection is still rather slow (should run faster on the Raspi 2)
  * Here's a little video https://www.flickr.com/photos/tamberg/16053255113/

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===== Questions (not) answered =====

  * Who were those people? Why were they homeless? What was their crime?
  * How would we treat them? How will they / we be treated tomorrow? (by algorithms)

===== Data =====

  * http://make.opendata.ch/wiki/event:2015-02
  * http://make.opendata.ch/wiki/data:glam_ch
  * https://commons.wikimedia.org/wiki/Category:Durheim_portraits_contributed_by_CH-BAR
===== Team =====

  * @ram00n
  * @tamberg
  * and you

===== Ideas / Iterations =====
  - Download the pictures to the Raspi and display one of them (warmup)
  - Slideshow and turning the images 90° to adapt to the screensize
  - Play around with potentiometer and Arduino to bring an analog input onto the Raspi (which only has digital I/O)
  - Connect everything and adapt the slideshow speed with the potentiometer
  - Display the name (extracted from the filename) below the picture

next steps, more ideas:
  - Use the Raspi Cam to detect a visitor in front of the frame and stop the slideshow
  - Use the Raspi Cam to take a picture of the face of the visitor
  - Detect faces in the camera picture
  - Detect faces in the images [DONE, manually, using online service]
  - ...merge visitor and picture faces :-)

===== Material =====

  * Raspi https://www.adafruit.com/products/998
  * 7inch TFT https://www.adafruit.com/products/947
  * Picture frame http://www.thingiverse.com/thing:702589

===== Software =====

  * http://www.raspberrypi.org/downloads/ - Raspbian
  * http://www.pygame.org - A game framework, allows easy display of images
  * https://bitbucket.org/tamberg/makeopendata/src/tip/2015/PictureThis - Scraper and Display
  * http://skybiometry.com/Demo
  * http://qwikfix.co.uk/sky-customer-services/
  * http://simplecv.org
===== Links =====

  * https://pinboard.in/search/u:tamberg?query=glamhack
  * http://press1for.co.uk/income-support-contact-number/
  * http://www.open-electronics.org/raspberry-pi-and-the-camera-pi-module-face-recognition-tutorial/
  * http://www.raspberrypi.org/facial-recognition-opencv-on-the-camera-board/ - OpenCV on Raspi-Cam
  * https://speakerdeck.com/player/083e55006e4a013063711231381528f7 - Slide 106 for face replacement
  * http://picamera.readthedocs.org/en/release-1.0/


Not used this time, but might be useful 
  * https://thinkrpi.wordpress.com/2013/05/22/opencv-and-camera-board-csi/ - old Raspian versions did not have the latest OpenCV installed. Nice howto for that
  * https://realpython.com/blog/python/face-recognition-with-python/ - OpenCV, nice but not used
  * http://docs.opencv.org - not used directly, only via SimpleCV
  * http://makezine.com/projects/pi-face-treasure-box/ - maybe a nice weekend project
  * https://learn.adafruit.com/creepy-face-tracking-portrait
  * http://www.seeedstudio.com/depot/101LCD-Display-1366x768-HDMIVGANTSCPAL-p-1586.html - 10inch TFT
  * http://www.aliexpress.com/item/FreeShipping-Banana-Pro-Pi-7-inch-LVDS-LCD-Module-7-Touch-Screen-F-Raspberry-Pi-Car/32246029570.html - 7inch TFT mit LVDS Flex Connector

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