> As for PC-based systems, I would be very surprised if deep learning models weren't being used in production somewhere. They definitely are. ~5 years ago I bu

> As for PC-based systems, I would be very surprised if deep learning models weren't being used in production somewhere. They definitely are. ~5 years ago I built a PC-based system that detected grain direction of wooden boards (looking at the end of the board). Initially I resisted the ML approaches and my first attempt was basically hand-crafted image analysis pipeline- split the image in segments, apply Gabor filter with kernels of various angles and try to fit a curve to results. It kind-of-worked but I wasn't entirely happy with it's performance on the test data. Even the simple classifier models that could execute on a fanless PC without a GPU outperformed my solution, and after a few more training runs the handcrafted code was replaced by #include <tensorflow.h>. This year I'll have to extend the system with on-site training mode, where an operator has a pushbutton to label the images and re-train the model.