Distributed AI (D-AI) is enabling rapid progress on smart IoT systems, homes, and cities. D-AI refers to any AI system with discrete AI subsystems that can be combined to create ensemble-intelligences. We introduce a Privacy-Preserving IoT Cloud (PPIC) optimized to host D-AI applications on the edge.
Today’s smart homes, cities, and infrastructures are often shoe-horned into cloud-computing architectures created for the Web. This is risky: any system that uploads sensitive data into a data warehouse concentrates secrets. We favor a Privacy-Preserving IoT cloud (PPIC) that decentralizes intelligence, running distributed AI (D-AI) logic at the edge while preventing sensitive data from leaking.
The Caspar.ai PPIC is an execution framework that marries edge-computing (computation near or on IoT devices) with a scalable distributed-AI computing model. Our PPIC framework can host third-party apps, supports multitenancy, and offers scalable services for tasks like object storage. We depart from the cloud model by replacing the centralized datacenter with a decentralized graph, so that sensitive data is never uploaded to the cloud. Smart applications run at the edge, enabling better performance, while policy-driven object filtering blocks unauthorized sharing of sensitive information.
The PPIC is a natural fit to D-AI in smart homes, multi-home developments and smart cities. A PPIC can safeguard privacy while providing scalability and cost efficiency. Here, we illustrate this with a range of tasks: operating a light switch, contextualized voice recognition, and fall detection for the elderly. PPIC can also be used at larger scale, for example to support city-wide coordination of emergency responders during a weather or wildfire emergency, but this paper focuses on functionality already in active use.
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Senior living communities benefit from energy-saving strategies that extend beyond the
long-term health of the environment. Tapping technology can help operators improve
the resident’s experience while achieving lower costs.
An additional benefit of this technology is automated daily check-ins without the need
for staff to knock on doors or for residents to trigger a daily response.
“We reduced nightly visits by staff with Caspar AI. This increased our operating efficiency AND improved resident care.” —Kelly Fieldhouse, United Methodist Communities at Bristol Glen, Newton, NJ
We see this more and more where today’s technologies address decades-old pain points. While the pandemic illustrated senior living’s ability to pivot and adapt, an ongoing challenge steadfastly remains for the industry today.
Focus on programming and daytime activity for residents is important, but how does resident behavior in their apartments – when they’re alone – inform care planning for a memory care community’s staff? Because most residents spend more time in their apartments than outside them, it only stands to reason that memory care communities are missing important insights.
At the First Annual Brain Memory Care Conference on July 21st in Chicago, experts from Caspar.AI, Notify, and The Forest at Duke will discuss the impact of nighttime resident behavior on community staff, the resident’s physician, and care planning.
Technology can support residents and staff in meaningful ways while contributing to the bottom line at the same time!
That’s the takeaway from the recent Senior Housing News webinar entitled: Technology in Senior Living: Friend or Foe? More than 250 senior living professionals signed up for the recent webinar which can be viewed in its entirety on YouTube.
Participants in the webinar included:
The senior living business is currently experiencing several pain points that have been heightened by the pandemic, including:
* Lower occupancy in apartments
* Harder to find & retain qualified staff
* Continuing isolation of residents
* Manage expenses in light of declining revenue
* Ability to reengage family members of residents
What will be the source of pain relief?
MarketWatch, May 4, 2021. Caspar.AI uses the whole home as a sensor – already existing elements like sensors on switches and appliances. From automated control of lights, shades and temperature to more complex tasks such as fall detection, the Caspar system works without cameras and without “wearables” such as resident pendants.
Forbes, March 1, 2021. We have seen a rapid increase in the adoption of technology by Americans over the age of 65, and as prospects seek retirement communities, they’ll look for those that offer the latest technology, giving them comfort and peace of mind. Developers, owners and managers of communities need to be ready to answer the demand.
Caspar.AI is currently featured in a White Paper from Senior Housing news. This document presents how Caspar.AI delivers resident safety, wellness and comfort while providing communities with a suite of AI management tools. Touch-free technology turns the resident apartment into a caregiver.
Distributed AI (D-AI) is enabling rapid progress on smart IoT systems, homes, and cities. D-AI refers to any AI system with discrete AI subsystems that can be combined to create ensemble-intelligences. We introduce a Privacy-Preserving IoT Cloud (PPIC) optimized to host D-AI applications on the edge.
Covid has exposed just how vulnerable seniors are who live in nursing homes and assisted living facilities. Caspar.AI’s vision is to fundamentally change how seniors are in their homes and how assisted living facilities are run.