Increasing audio classification accuracy to 92%

Trained sound classification model that powers an elder-care monitoring system

Plug-in hardware sensors with trained sound classification

help seniors comfortably and safely live on their own. The device understands patterns to detect anomalies or if urgent care is needed.

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IMPACT

92% accuracy in identifying and correctly classifying the sound

ai solution

Through sensors, the device can understand how many people are in the room and what they are doing.

client

Care Alert by SensorsCall

The best aging-in-place solution in the market.

in collaboration with hive

thinkAI

Led by top engineering and AI leaders from ThinkBridge, IBM, Talent Inc., Cisco, and more.

Contact sales View hive

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