[vincenthwt]

That’s a great question. While NNs are revolutionary, they’re just one tool. In industrial Machine Vision, tasks like measurement, counting, code reading, and pattern matching often don’t need NNs.

In fact, illumination and hardware setup are often more important than complex algorithms. Classical techniques remain highly relevant, especially when speed and accuracy are critical.

[nomel]

And, usually you need determinism, within tight bounds. The only way to get that with a NN is to have a more classical algorithm to verify the NN's solution, using boring things like least squares fits and statistics around residuals. Once you have that in place, you can then skip the NN entirely, and you're done. That's my experience.