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

Reducing unnecessary caregiver visits for the elderly by 30%

IoT

Audio Classification

Custom ML Model

Care Alert by SensorsCall

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

🔒 Confidential client

LOCATION

size

INDUSTRY

Elder Care

DEPARTMENT

Product Development

case study by

thinkAI

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

The Challenge

Provide cost-effective, non-intrusive remote monitoring for elderly individuals, enabling timely interventions and peace of mind for caregivers.

The Solution

IoT device using on-device ML audio classifier.
Analyzes audio for disturbances and pre-established patterns.
Notifies remote caregivers for check-ins.
Ensures privacy with local processing.

Impact

30% reduction in unnecessary caregiver visits.
40% improvement in caregiver response time to emergencies.
25% decrease in overall elder care monitoring costs.

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