Kohler's new toilet camera provides health insights based on your bathroom breaks
Briefly

Kohler's new toilet camera provides health insights based on your bathroom breaks
"As part of a new initiative focused on "turning the bathroom into a connected, data-informed health and wellness hub," Kohler has announced a health tracker called the Dekoda you attach to your toilet. It's designed to peer into the bowl using sensors and analyze what it sees using algorithms to provide insights into your hydration and gut health, and it will discreetly notify you when blood is detected which can be indicative of more serious medical issues."
"The collected health data is made available through the mobile Kohler Health app - which is currently available for iOS and coming soon to Android - but only with a Kohler Health membership that's $6.99 per month or $70 per year for single users, or $12.99 per month or $130 per year for a family plan that accommodates up to five users."
"On the inside you'll find advanced optical sensors that use spectroscopy to "observe how light interacts with your waste." To ensure privacy, the sensors are angled down so they only see what's inside the toilet bowl. The data shared to the app, which includes the frequency, consistency, and shape of your waste, is end-to-end encrypted, and the Dekoda uses a fingerprint sensor on its wall-mounted remote to differentiate multiple users."
The Dekoda is a toilet-mounted health tracker that uses optical spectroscopy sensors to analyze waste for hydration, gut health, and blood detection. The system includes the sensor, a magnetic charging pad, and a wall-mounted remote and is available for preorder at $599 with shipping expected to start October 21st. Health data is delivered through the Kohler Health mobile app and requires a paid membership (monthly or annual single and family plans). Installation uses an expanding clamping mechanism and a removable magnetic battery. Sensors are angled to view only the bowl, data is end-to-end encrypted, and the remote uses a fingerprint to differentiate users.
Read at The Verge
Unable to calculate read time
[
|
]