PAVA utilizes WiFi-sensing technology to monitor the movement, location, and sleep patterns of elderly residents in nursing homes and home care settings without the need for wearables or cameras. This system provides real-time data through an AI-driven dashboard, enabling care staff to enhance response times and improve resident safety while maintaining privacy.
Funding
Funding not disclosed
Founders
Product
Problem
Elderly care facilities often struggle to monitor residents' well-being and safety effectively without intrusive methods like wearables or constant supervision. Traditional monitoring systems can be disruptive, costly, and may not provide real-time insights into residents' activities and potential risks.
Solution
PAVA offers a non-intrusive monitoring solution for elderly care that uses WiFi-sensing technology to track residents' movement, location, and sleep patterns. The system analyzes disruptions in WiFi signals caused by individuals' presence and movement, providing real-time data on their activities. This data is then processed using artificial intelligence to provide insights to care staff through a user-friendly dashboard. By eliminating the need for wearables or cameras, PAVA ensures resident privacy while enabling proactive care and faster response times to potential incidents.
Target Audience
PAVA's primary customers are nursing homes, assisted living facilities, and home care providers seeking to improve resident safety and well-being while maintaining privacy and operational efficiency.
Features
- WiFi-sensing technology that monitors movement, location, and sleep patterns without wearables or cameras
- AI-driven analysis of WiFi signal disruptions to provide real-time insights into resident activity
- User-friendly dashboard for care staff to view up-to-the-minute updates and potential risks
- Non-intrusive monitoring that preserves resident comfort and privacy
- Streamlined caregiver tasks, enhancing response times and reducing unnecessary interventions
- Optimized caregiver rounds and reduced need for expensive monitoring equipment