I believe CS degrees require discreet math (and highschool algebra 2), which means they've done permutations and combinatorics, so yes they've done these types of problems before. The real question is how long has it been?

Wrong. Most facial recognition software reduces largest image dimension to 128. This allows caching to become effective, massively speeds up the process (hence the 15k fps).

A facial recognition pipeline contains a few steps, for feature extraction people DO resize image to something like 128x128, but for face detection (which is what this repo does) you DON'T.

Also, the reason why we scale down the input image is not for cache effectiveness, it's simply for reducing computations needed. Maybe except for naive matrix multiplication and convolution implementations, which is what this repo does. But there is no point to discuss performance if you are using a naive implementation which by design ignores cache/instruction latency/anything Computer Architecture related. Please, at least take QNNPACK as baseline.

At least in the US, the police departments are reliant upon traffic tickets for funding. Just saying, get rid of human drivers, cops aren't gonna get paid!

I am going to laugh the day AI drivers need to get a license and or can get points from their license taken for traffic violations :D and the human has to pay for it

Ah but this is the seeing point of New Zealand: they have a low population of people, and a lot of open grazing land. Heck there are more sheep than people there! That is a no go in the US.

You raise an important point alot of our food issues come from abstraction and seeing the products not as having coming from a living thing but rather as a commodity.

We loose track of the implementation details of how the food is sourced.