Reality AI for Wearables
and Consumer Products
Use sensor inputs to identify human activities and surrounding context.
You can use:
Accelerometry
Sound & ambient noise
Biometric sensors
New or proprietary sensors
alone, or in combination, to detect and classify:
Specific actions or activities
Surrounding context and environment
Reality AI uses advanced mathematics and machine learning to detect signatures in complex, very noisy, highly dynamic signal environments.
Use it to create signal classifiers and detectors that can be used with your own devices and distributed as part of your own products.
Can be embedded in firmware on inexpensive microcontrollers,
using moderate sample rates, or accessed thru a simple cloud API.
Icons by Josh Sorosky, Kid A, Diego Naive, Randolph Novino, Lluisa Iborra, Alexander Gruzdev from the Noun Project.