Kevin Knuth

Now, Matthew Shadagas, who you talked to recently, has developed a...

some machine learning software that he calls custom target analysis protocol, analysis protocol, CTAP.

And this actually identifies objects for us that are objects of interest and notes when they happen in the video and actually takes video segments and pulls them out so that we can look at the segments.

And so right now that software can run a little faster than real time.

Okay.

It takes maybe 20 hours for it to analyze a 24-hour video.

So we're not that much better, but we're getting there.

And so we have a challenge for storing all of this information.

we actually have a donation website set up and you know with the university and we're hoping to get funds because we need literally terabyte hundreds of terabytes storage um to store this information and then um and then we have need computers to analyze the data and to highlight things for us we already have had a few videos that we've seen and we know what we took when we were there physically watching the sites um

I don't know how much Matthew talked about it.

He spent five days at a site in Connecticut.

I was there for one night and then I had to go back and work on finishing publishing one of our UAP papers.

Oh, we didn't get to that, right.

Yeah, so, yeah.

So he actually had seen some of these glowing orbs.

He took the time to look at one of them through a telescope and said that it looked like this giant ball of plasma and was pretty amazing.

But we've got videos of some of these other orbs, which is interesting.

So, um...

But we haven't had a chance to analyze all that yet and we're still collecting data.

No, they're hovering over trees and over water, yeah.