Look, I was just saying, it could be done, train it on current real and 3d printable gun parts and there, you did your best to create algorithmic gun filtering. I wasn’t saying that it would be good or accurate.
You can run OpenCV on an RPi, it’s just super slow, and you could probably use a cheap GPU chip to do it faster. You store the pretrained model on the device.
You may even get away with an asic designed for the model, though with that one I’m talking out my ass.
Kinda, render a few images from the gcode, use a CV algorithm to identify the object.
On device it’ll be slow or expensive.
Your faith in this mystery algorithm is stronger than mine. Here’s a diagram of the parts in an AR-15:
So we need an algorithm that renders the gcode I’m printing, then compares it to… something?
Look, I was just saying, it could be done, train it on current real and 3d printable gun parts and there, you did your best to create algorithmic gun filtering. I wasn’t saying that it would be good or accurate.
Printer: “not a hot dog”
Theres countless gcode use in the world, much of it is offline
Doesn’t matter. Has nothing to do with online.
You can run OpenCV on an RPi, it’s just super slow, and you could probably use a cheap GPU chip to do it faster. You store the pretrained model on the device.
You may even get away with an asic designed for the model, though with that one I’m talking out my ass.
That would makes printers more expensive and my guess is that they’ll prefer to force online connectivity
100%