Kami Vision: Detecting and Reporting Elderly Falls

Because of numerous medical conditions affecting the elderly and disabled, falls are among the biggest hazards of aging. They lead to such traumas as hip fractures, which can launch an irreversible decline in functioning, head injuries, and even death.

Kami Vision provides technology called KamiCare that helps caregivers in an eldercare community or a person’s home detect and respond quickly to a fall. AI, running right in Kami Vision’s camera, detects falls and reports them to caregivers selected by an app.

The system allows sophisticated choices of how to send messages, and when to notify additional persons if the previous caregivers fail to handle the alert quickly.  Plus, it does all of this in an extremely private way.

Watch this short video with CTO Ajay Gulati to see how Kami Vision provides easy setup and flexibility, protects privacy, deals with false alerts, and supports aging in place.  Plus, check out their consumer version of KamiCare on Amazon.

Learn more about KamiCare: https://kamivision.com/kamicare/

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About the author

Andy Oram

Andy is a writer and editor in the computer field. His editorial projects have ranged from a legal guide covering intellectual property to a graphic novel about teenage hackers. A correspondent for Healthcare IT Today, Andy also writes often on policy issues related to the Internet and on trends affecting technical innovation and its effects on society. Print publications where his work has appeared include The Economist, Communications of the ACM, Copyright World, the Journal of Information Technology & Politics, Vanguardia Dossier, and Internet Law and Business. Conferences where he has presented talks include O'Reilly's Open Source Convention, FISL (Brazil), FOSDEM (Brussels), DebConf, and LibrePlanet. Andy participates in the Association for Computing Machinery's policy organization, named USTPC, and is on the editorial board of the Linux Professional Institute.

   

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