Alan

They do.

I mean, there's, of course, another aspect of the AI that's called edge AI.

So there's some specific algorithms that can run on device.

So for example, retailers can use that for analytics within the store.

And that doesn't necessarily have to identify any individual person.

They will just count food traffic, understand even classified gender or something that the retailer might care about around how people are moving in their stores.

And that does not mean that the fact that there's a camera does not mean that you're being surveilled.

This can be something that runs on device and then just like reports aggregate statistics.

So it depends on how you actually implement that.

Yeah, we did.

Actually, we worked a couple of years back.

So everybody knows that in California, the wildfires are a massive problem that not only jeopardize property and value, but also human lives.

This affects community deeply.

And we worked for this startup in San Francisco that went on to raise a lot of money in developing a system that can detect the early signs of wildfire.

So these companies installing cameras in many different locations, they can actually triangulate.

So where we see signals of smoke, they can triangulate and call the fireman.

So in the very first moments of the fire.

And if you can actually detect it on the first 5 to 15 minutes, the chances of it not becoming a massive wildfire is extremely incremental.

So the idea here is that with AI, we could train custom computer vision models to detect signals of smoke in the early minutes of the fires that are very difficult to detect for the human eye.

So it's interesting that if you see the photos of how they look like,