This smart home system uses a multi-sensor array and AI to monitor the health and well-being of older adults without invading privacy. It tracks common activities and environmental factors like motion, presence, CO2, and temperature to identify potential physical and mental decline, enabling personalized care solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Families often struggle to monitor the well-being of elderly relatives who live alone, especially when distance, busy schedules, or the senior's desire for independence make regular check-ins difficult. Traditional monitoring methods like wearables or cameras can be intrusive, while the costs of in-home care can be prohibitive. This leaves families searching for affordable, discreet ways to ensure their loved ones are safe and healthy.
Solution
Wellnuo offers a smart home wellness solution centered around a multi-sensor plug that monitors a senior's health and safety without compromising their privacy. The system uses a "set-it-and-forget-it" approach, requiring no wearables, wires, batteries, cameras, or microphones. The Wellplug contains nine sensors that track motion, presence, CO2 levels, air quality, humidity, light, temperature, pressure, and time, as well as geolocation and room placement. This data is analyzed using machine learning to establish behavioral norms, observe trends, predict future behaviors, and alert caregivers to significant deviations from established patterns. Caregivers receive real-time insights via a mobile app, with critical alerts highlighted and delivered via app, text, or email.
Target Audience
The primary target audience includes adult children and family members of seniors who live independently and want a discreet, affordable way to monitor their loved ones' well-being and safety.
Features
- Multi-sensor array within a standard plug to monitor various environmental and activity-related data points
- Radar-based motion and presence detection for non-intrusive activity tracking
- Air quality monitoring through CO2 and volatile organic compound (VOC) sensors
- Machine learning algorithms to establish baseline behaviors and detect anomalies
- Real-time alerts sent to caregivers via mobile app, text, or email for critical events
- Daily, weekly, and monthly reports available through a secure desktop portal
- Trend tracking and highlighting of important changes in activity or environmental conditions
- Geolocation capabilities for room placement and activity context
- No wearables, cameras, or microphones to maintain privacy and ease of use