The video on Reddit: https://www.reddit.com/r/3Dprinting/comments/1olyzn6/i_made_...
https://www.youtube.com/watch?v=EE9AETSoPHw&t=44
https://www.instructables.com/Single-Pixel-Camera-Using-an-L...
(Okay not the same guy, but I wanted to share this somewhat related "extreme" camera project)
> Do you mean the refresh rate should be higher? There's two things limiting that: > - The sensor isn't optimized for actually reading out images, normally it just does internal processing and spits out motion data (which is at high speed). You can only read images at about 90Hz > - Writing to the screen is slow because it doesn't support super high clock speeds. Drawing a 3x scale image (90x90 pixels) plus reading from the sensor, I can get about 20Hz, and a 1x scale image (30x30 pixels) I can get 50Hz.
I figured there would be limitations around the second, but I was hoping the former wasn't such a big limit.
https://old.reddit.com/r/electronics/comments/1olyu7r/i_made...
https://old.reddit.com/r/electronics/comments/1olyu7r/i_made...
Where this becomes relevant is when you consider depixellation. True blur can't be undone, but pixellation without appropriate antialiasing filtering...
https://www.youtube.com/watch?v=acKYYwcxpGk
So if your 30x30 camera has sharp square pixels with no antialiasing filter in front of the sensor, I'll bet the brain would soon learn to "run that depixellation algorithm" and just by natural motion of the camera, learn to recognize finer detail. Of course that still means training the brain to recognize 900 electrodes, which is beyond the current state of the art (but 16x16 pixels aren't and the same principle can apply there).
camera the size of a grain of rice with 320x320 resolution
https://ams-osram.com/products/sensor-solutions/cmos-image-s...
https://www.mouser.com/datasheet/3/5912/1/NanEyeC_DS000503_5...