Tech Talks Daily
00:06:02 · Mike Link, Neil C. Hughes
[00:06:02] S1: Well, those are definitely good options, but the problem is is if somebody doesn't remember to use them or if they need to be charged, then they're kind of useless. And the idea is that, you know, somebody who's older doesn't have to remember to press something or ask for help in an emergency because, you know, I don't know if you have a mom or dad or had grandparents who maybe needed extra help. But Yeah. I know for sure my grandmother would not remember. You know? In an emergency situation, she's not gonna think, oh, let me press my button for help. You know? She's gonna freak out and be panicking and then be stuck. So, yeah, there's nothing wrong with them. I think it's a good... They were a good start, but I think now the technology has evolved to a point where it's requiring less human assistance from the person in need. And that's the idea is that, you know, the person who needs extra care doesn't need to say anything, doesn't need to do any... They could just exist, which prevents a lot of, like, user error. And then we can see based on how they live, what kind of help they need. [00:07:03] S0: And, of course, KamiVision cites 99.5% accuracy, which is incredibly impressive. But how is that measured, and what should buyers ask before trusting any accuracy claim in a a real care environment?
00:07:03 · Neil C. Hughes, Mike Link
[00:07:03] S0: And, of course, KamiVision cites 99.5% accuracy, which is incredibly impressive. But how is that measured, and what should buyers ask before trusting any accuracy claim in a a real care environment? [00:07:17] S1: Yeah. That's a good question. So the 99% comes from the three layer detection system. So we have an edge chip on the device that detects the fall itself. So there's AI on the chip in the sensor. So that's the first layer. The second layer is after it is detected on the device itself, it goes to the cloud. We have an AI model in the cloud that'll filter out false positives. And then we have a third layer, which is actually a human layer, and it's... The the the clip of a fall is blurred and encrypted. And a human can then see just the blurred clip, no personal identifiers or anything like this, then say yes or no. This is or isn't a fall. And because the cloud filter and the edge chip get rid of a lot of the false positives, by the time it gets to the human, there's only a handful left, and then they could say, okay. You know, this is or isn't a a real notification. By the time it gets to the user, it's 99.5% accurate. [00:08:22] S0: And as it's... We're talking about cloud and connections and things, and a lot of elderly people won't have an Internet connection. Is it SIM related? How's that... How is that connection managed?
00:08:22 · Neil C. Hughes, Mike Link
[00:08:22] S0: And as it's... We're talking about cloud and connections and things, and a lot of elderly people won't have an Internet connection. Is it SIM related? How's that... How is that connection managed? [00:08:33] S1: It's not SIM related. It's Wi Fi based. We've thought about putting a a SIM card in the consumer version in the future. Yeah. We haven't even fully released the consumer version. We've sent it out probably to, like, 500 families to use, and, you know, that's how we've been, you know, building and and kinda modifying the the the model because we have it in tons of care homes. In The US, in in a bunch in The UK, some in Japan. So the the way that we have now started to modify that for in home is by having families use it in home. So, right, know, as of now, you can't even go, you know, buy the consumer version. It's only in community and residential settings. But... Yeah. Yeah. Yeah. The the SIM card is definitely the thing that we've looked at because in a lot of homes, especially in rural places in America or, you know, I would assume also in The UK Yeah. Wi Fi can be an issue and connectivity can be an issue. So... And even in some of the facilities, like, they don't want to have Wi Fi go down and then, you know, potentially miss something. But at the same rate, like, a lot of these facilities do have Wi Fi now, so it hasn't really been too much of an issue.
00:08:33 · Mike Link, Neil C. Hughes
[00:08:33] S1: It's not SIM related. It's Wi Fi based. We've thought about putting a a SIM card in the consumer version in the future. Yeah. We haven't even fully released the consumer version. We've sent it out probably to, like, 500 families to use, and, you know, that's how we've been, you know, building and and kinda modifying the the the model because we have it in tons of care homes. In The US, in in a bunch in The UK, some in Japan. So the the way that we have now started to modify that for in home is by having families use it in home. So, right, know, as of now, you can't even go, you know, buy the consumer version. It's only in community and residential settings. But... Yeah. Yeah. Yeah. The the SIM card is definitely the thing that we've looked at because in a lot of homes, especially in rural places in America or, you know, I would assume also in The UK Yeah. Wi Fi can be an issue and connectivity can be an issue. So... And even in some of the facilities, like, they don't want to have Wi Fi go down and then, you know, potentially miss something. But at the same rate, like, a lot of these facilities do have Wi Fi now, so it hasn't really been too much of an issue. [00:09:43] S0: So when you've put all these in, what changes when computer vision has to operate reliably across millions of live devices rather than just a controlled pilot? What have you seen? Has anything surprised you here?
00:09:43 · Neil C. Hughes, Mike Link
[00:09:43] S0: So when you've put all these in, what changes when computer vision has to operate reliably across millions of live devices rather than just a controlled pilot? What have you seen? Has anything surprised you here? [00:09:56] S1: Nothing really. I mean, if if you think about it, there's already millions of connected devices with Kami Home. We have more than a million paid users. There's probably three or 4,000,000 free subscribers to the KamiHome platform. So we already manage a huge amount of data. So it's basically the same thing with the other system, the KamiCare elder care in communities and facilities system. [00:10:24] S0: What kind of feedback have you had from some of those nursing homes or elderly homes? Have you had any feedback from around the world? I know you said The UK, Japan, US. How's that feedback?
00:10:34 · Mike Link
[00:10:34] S1: The feedback is always kind of the same. It's kind of shock and surprise because when we go to sell the solution to some of these communities and facilities, they're like, well, we don't really have an issue with falls. They just kind of happen. And, you know, how is detecting the event going to help us prevent? They kinda feel like it's reactive. Yeah. And I think the thing that's surprising to them is by seeing what happened in a reactive fashion, they're actually able to be proactive because most of the time, these people aren't hurting themselves. Like, ninety six percent of falls aren't resulting in some kind of hip fracture or injury or event that makes them need emergency services. So the majority of falls that are detected are people putting themselves on the ground because they don't have the strength or the confidence to walk and do the things they need to do. So what happens a lot of the time is either somebody puts themselves on the ground or they scoot off the bed onto the ground. And then what happens in a facility is if a staff member comes in... Imagine you have a memory care patient who's got dementia. Their memory care resident has dementia, and you find them on the ground. They're... They can't remember why they are on the ground. And then as somebody running the facility, you have to document this as a fall. But in fact, it wasn't a fall. And then when they can see the clip of the fall, they go, oh, they just scooted onto the floor. They actually wanted to put their shoes on, but they sat on the floor to put their shoes on because they didn't have the strength to stand up. And now they could send a nurse in there when they need to put their shoes on or when they need to dress or change or whatever the thing is. So it's these kind of, like, environmental changes maybe in, like, the room layout or activity changes in their routine where maybe a staff member can help them is where the the realizations happen. And then the other thing is you could start to see as somebody's declining because they'll start to go to the ground. Right? It's not necessarily a fall, but it's detecting the person on the ground, which allows you to see the meaningful change and then, you know, make a change in the way that you care for them.