The three machines are modified versions of Piccolo CNC, an open-source drawing machine based on Arduino.
A Raspberry Pi serves as the brain of the installation, running a python script for each step of the process. Each script listens to the desired input and sends the plotting commands to the needed machine.

Step 1, the portrait: The photo taken with the iPad is automatically synchronized to the Pi using Dropbox. A python script transforms the photo to a line drawing using opencv and send the lines to the drawing machine.

Step 2, analyzing the face: When receiving an email, the Pi sends the previously taken image to an online service called Rekognition. Their machine learning algorithm detects the beauty in percent, mood, age and gender of a person. This information is then stored in a database and stamped on the passport letter by letter by the laser-cut stamp-wheel. (All other mechanical parts and stamps are laser-cut as well)

Step 3, validation stamp: The dubious button is actually a fingerprint scanner. The validation stamp is granted after the fingerprint has been scanned. After some seconds, an email with all the data of a matching person is sent to the user.

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