Art is often made to appeal to a specific set of viewers. This is the 6th blog in a series exploring the idea of using AI to recognize a viewer and adapt art to their age or interest. The intent is to encourage early art appreciation while being attractive to all household members.
The project was a mess of wires and breadboards so more work was done on enclosures and mounts this week.
The 3D Printer has been Busy
The cutout on the face was a bit ragged so a bezel was made to enclose the monitor opening.
To hold the camera in place a bezel was fabricated for it also. The camera is mounted with two locating pins and two screws. The back and front is shown in the following photo.
A Raspberry Pi mounting plate was made that attaches to the back of the monitor.
For now, some things are still held in place with mounting putty as I am still thinking about the best placement and aesthetics before gluing and screwing into place. This shot shows the second Raspberry Pi mounted and the camera in place from the back.
I thought there would be plenty of room but of course now things are getting tight and the ribbon cable for the camera is a bit short. Little fingers are bound to pry at the wires and things and the back enclosure does not quite cover things up.
A call needs to be made though for when enough is enough for the first iteration though as the software needs attention as well. The tradeoff will be between a fully functional prototype and refined physical design. Since this is an art project, here is the beauty shot.
Upcoming Work
- Take the training photos and perform image recognition training
- Write Python script to drive the monitor and control the art output
- Develop and obtain additional art.
Other Posts in this Series
PiCasso Adapting Art to Viewers: Introduction Blog #1
PiCasso Adapting Art to Viewers: OpenCV Face Detection, Blog #2
PiCasso Adapting Art to Viewers: Cabinet Design, Blog #3
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