Tech Talks Daily
00:21:14 · Neil C. Hughes, Mike Link
[00:21:14] S0: Yeah. It really does. And for... Also, for people listening, maybe considering something like this, are there any privacy consent or even staff training questions that typically come up an organization need to resolve or get in place before thinking about deployment? Any big conversations there or FAQs that you get a lot? [00:21:35] S1: Yeah. We we have all the facilities get consents from the resident or the power of attorney. The other thing is that we stress that we we don't livestream. We don't... We're not looking into the room. We're not monitoring into the room. The visual the visual sensor is only meant to see the cause of the fall and exactly how it happened. For example, there's a lot of infrared or, you know, non video based sensors out there. But the problem is is you can't confirm whether somebody's hit their head or not hit their head. If it's a stick figure in the clip that you get or if it's a infrared sensor where you could just see a heat map or something like this, you can't see if they were reaching for something. You can't see objects in the room. So, really, like, the video is a huge value add, but it does cause concerns about, like, livestream or recording or or things like this, and this is why we get consents. But when the staff and the the family members know that the only thing captured is the fall and the cause of the fall, and the reason why and the benefits of this, usually, there's there's no type of pushback. But, yeah, the consent is definitely required.
00:21:35 · Mike Link, Neil C. Hughes
[00:21:35] S1: Yeah. We we have all the facilities get consents from the resident or the power of attorney. The other thing is that we stress that we we don't livestream. We don't... We're not looking into the room. We're not monitoring into the room. The visual the visual sensor is only meant to see the cause of the fall and exactly how it happened. For example, there's a lot of infrared or, you know, non video based sensors out there. But the problem is is you can't confirm whether somebody's hit their head or not hit their head. If it's a stick figure in the clip that you get or if it's a infrared sensor where you could just see a heat map or something like this, you can't see if they were reaching for something. You can't see objects in the room. So, really, like, the video is a huge value add, but it does cause concerns about, like, livestream or recording or or things like this, and this is why we get consents. But when the staff and the the family members know that the only thing captured is the fall and the cause of the fall, and the reason why and the benefits of this, usually, there's there's no type of pushback. But, yeah, the consent is definitely required. [00:22:45] S0: Well, for anybody listening would like to find out more information, as you said, you serve people around the world right now. If they wanna dig a little bit deeper, connect with you or your team or just have a a a browser, what it looks like, how it works, etcetera, where should they go?
00:22:45 · Neil C. Hughes, Mike Link
[00:22:45] S0: Well, for anybody listening would like to find out more information, as you said, you serve people around the world right now. If they wanna dig a little bit deeper, connect with you or your team or just have a a a browser, what it looks like, how it works, etcetera, where should they go? [00:23:01] S1: They could go and search KamiCare on Google, and it'll come up. And, you know, they're happy to reach out to us, and we can give a demonstration of how the technology works or set up a meeting or anything like this. So that's probably the best way. [00:23:16] S0: Well, I cannot thank you enough for coming on today and sharing a a grounded, nonhyped breakdown of what it takes to execute and scale physical AI in modern environments there. I love what you're doing and for all the right reasons too. So I will add links, videos to everything that we've talked about today. Urge people to check those out in the show notes. But more than anything, Mike, thanks for coming on and bringing all this to life in a language everyone can understand. Really appreciate your time. [00:23:44] S1: Yeah. Thanks for having me. I appreciate it.
00:23:44 · Mike Link, Neil C. Hughes
[00:23:44] S1: Yeah. Thanks for having me. I appreciate it. [00:23:46] S0: One of the big points I'm taking away today is that detecting an event and improving care, they're all connected through a human workflow. Someone will always need to receive a notification, understand its context, and decide what help is required. And I also appreciate the discussion about how different a home can be from a residential care home. Lighting, furniture, connectivity, and areas a sensor cannot see, all will impact deployment. So for anyone evaluating a system, I would want to understand how performance is measured, what happens when something is missed, and how consent and access are managed. And I think Mike's account today gave us so many useful questions to bring to those conversations, and he answered them all around KamiVision too. But he also brought it to life with some examples of how event information can inform changes to care routines. A big thank you to Mike Link today for joining me and sharing the story here and the human behind the tech too. But over you, share your experiences. What would you need to see before trusting a computer vision alert as part of a care workflow for someone? Techtalksnetwork.com. That's where you'll find everything. 4,000 interviews, eight podcasts, and you can get a hold of me by connecting with me on LinkedIn, Instagram, x, just at Neil C. Hughes. Send me a DM there. Send me an audio message from the website. Whatever it is, I wanna hear it from you. So... Well, I have taken up far too much of your time, so I'll be back tomorrow. Bye for now.