The State of Healthcare IoT | Cognosos' Adrian Jennings | Internet of Things Podcast

IoT For All Podcast · 16 Jul 2024 · 24m · Episode 352

AI in practice: one real use of AI described

What this episode covers

Adrian Jennings, Chief Product Officer at Cognosos, explains how the company uses AI to transform cheap Bluetooth sensors into high-accuracy tracking solutions for healthcare and logistics. He details the shift from expensive, infrastructure-heavy technologies like Ultra-Wideband (UWB) to a cloud-based AI approach that classifies location based on complex RF environments. Jennings highlights key use cases including proactive asset management, workflow optimization, and staff safety, noting that hospitals are now adopting these solutions due to financial pressures and rising workplace violence. The conversation emphasizes that AI allows low-cost sensors to achieve performance parity with expensive systems, enabling full-coverage deployment across entire hospital campuses and home care settings.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationCognosos deep learning neural networks

Cognosos is applying deep learning neural networks to its tracking algorithms to detect not just where people are, but how they are moving, achieving high confidence in motion detection.

“We're making leaps and bounds, cognosis in terms of what we're doing with AI, in the, in on our R and D side, getting it to, um, you know, deep learning neural networks now and applying that, um, being able to understand not just where people are, but how they're moving, full detection.”

Speaker 2 · Hear it at 19:49

Mentioned

Companies
Cognosos, Ubisense
Also
Ultra-Wideband, Bluetooth

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