And per like game that you’re filming, but probably for a number of the market, like one is sufficient or like two is sufficient, however in quite a bit of these robotics automation problems in a given site, you've 2000 cameras or 10,000 cameras. But they’re generally replacing some mechanical automation with just observation that then like autonomous checkout is a perfect example of that. Abate: So that you, you already know, just to dive in on that a bit of bit, you understand, when 90% of your clients are asking for one thing and then you will have a feeling and then, you recognize, considered one of your advisors has a feeling that they’re incorrect. So I started out as an investor at Ubiquiti after which liked it a lot and wanted to work there and did, however on the investor calls, the owner would say, you already know, we’re, we’re a software firm, the monetizes on hardware that basically, that worked really well in the networking space, because cause you have been selling to engineers, you’re promoting to technical people that, wanted to purchase something and you know, for $70 and like our OAK-D Lite on Kickstarter, it was $74. That’s so good whether or not you’re working for an enormous company, because what it means is, is an engineer can purchase this on a Friday. And then to your question on like trades, we then have an entire slew of consumers.
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However when it’s only a extra simple system that there isn’t a huge benefit to have system on module because, our yield is like 100 p.c now. ’re architecting a robotic perception factor, as a result of you’d just be like, well, what if I put a camera right here or here? Um, so then we made the, the Oak D, which is all included with an, there’s a, there’s an ethernet interface in right here. And with the OAK-D and originally it was only a board, it’s just a USB powered interface to it. I feel, I feel the warning that’s printed "it’s not 5:00 PM yet". Abate: after which the OAK-D, like, simply describe what that's. Brandon Gilles: Yeah. That’s an important question. Brandon Gilles: Yeah. Yeah. Brandon Gilles: Yeah, absolutely. Brandon Gilles: Yeah. Well, we didn’t go against it giant, largely what we noticed it.
And what we saw is that no one wished these. I, in the e book I am going to at least one known as Chinatown in Western Cambodia. You alter one factor wanted to deploy it solely to Ohio in the morning and have that run in Ohio in the morning to see if that really solves the issue there. Cause we said, well, this might be going to be an issue generally for robotics and already it’s a problem for us. So, there’s a ton of interest in strawberry choosing, for instance, as, as a robotic downside and strawberry choosing, I like to pick on it pun meant, as a result of it’s very visible on like what it’s doing after which what the, what things can go fallacious. But then the capability to solely file when something’s going improper and based on these thresholds and select to save lots of to disk or put it as much as the cloud on to robo move or, uh, pun meant, myriad other options is simply so incredibly useful.
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