IRONN EDGE Care is an advanced in-home care solution designed to support vulnerable individuals, including the elderly and those with chronic conditions, by leveraging Embedded AI and real-time video understanding. The product acts as an intelligent, unobtrusive guardian, continuously monitoring environmental and behavioral patterns to detect early signs of health issues and provide proactive care. Its goal is to reduce hospitalizations, enhance patient independence, and support caregivers with timely alerts and actionable insights.
Core Features:
- Real-Time Video Understanding:
- Environmental & Behavioral Monitoring: Uses video data captured from in-home cameras to analyze patterns of daily activities, such as movement, posture, and environment changes.
- Anomaly Detection: Identifies deviations from typical behavior or environmental conditions, such as a fall, a sudden change in activity, or unsafe situations (e.g., leaving the stove on).
- On-Device Processing: Ensures privacy by processing video locally, converting it into encrypted descriptions rather than storing raw footage.
- AI-Driven Alerts & Notifications:
- Proactive Alerts: Sends real-time notifications to caregivers, family members, or medical professionals when abnormal patterns are detected, helping prevent emergencies before they occur.
- Personalized Care Insights: Provides actionable insights into the individual’s daily behavior and health trends, helping caregivers offer personalized care.
- Smart Home Integration:
- Seamless Device Connectivity: Integrates with smart home devices such as thermostats, lights, and security systems to provide a more holistic and responsive care environment.
- Environment Control: Alerts caregivers when environmental factors (like room temperature or lighting) become potentially hazardous to the individual’s health.
- Privacy & Data Security:
- No Video Footage Storage: Adheres to strict privacy policies by processing video locally and only sending encrypted descriptions and alerts.
- GDPR Compliant: Ensures that data privacy regulations are fully met, protecting the sensitive information of users.
- Secure Communication: Uses secure communication protocols (e.g., AES encryption) to ensure data integrity and confidentiality.
- Ease of Use for Caregivers:
- User-Friendly Interface: Provides caregivers with an intuitive dashboard that displays real-time alerts, historical data, and trends.
- Mobile App Access: Caregivers can receive alerts and monitor the status of the individual remotely via mobile apps or SMS, ensuring constant connection.
- Health Insights & Analytics:
- Behavioral Pattern Analysis: Analyzes the individual’s daily routine and identifies any deviations that could signal a potential health risk.
- Predictive Alerts: Leverages AI to predict when a health issue might arise based on historical data, allowing for preemptive action.
- Scalability:
- Cloud Integration: Offers cloud-based data storage for secure backup and remote monitoring, while maintaining privacy through on-device processing.
- Modular Design: Easily scalable to support multiple devices or additional sensors for broader monitoring capabilities.
Tech Stack:
- AI & Machine Learning:
- Embedded Perception AI: Uses machine learning algorithms to analyze video and sensor data in real-time, identifying behavioral anomalies and environmental risks.
- PyTorch: Likely used for model training and deployment of AI-based anomaly detection and predictive analytics.
- Video Processing:
- Real-Time Video Understanding: Leverages adapted open-source video understanding technology to understand and analyze in-home activities.
- Edge Computing: Ensures low-latency data processing by performing video analysis locally, without the need to transmit large video files to remote servers.
- Cloud & Infrastructure:
- Cloud Hosting (Microsoft Azure): Provides scalability for cloud-based storage and remote monitoring features, while ensuring secure backups and access to care teams.
- IoT Integration: Uses cloud infrastructure to connect and manage IoT-enabled devices such as sensors, cameras, and home automation tools.
- Mobile & Web Application:
- React: Used for building the frontend of the mobile and web apps that caregivers use to monitor patients and receive alerts.
- Backend (Node.js and C# .NET): Manages API requests, data processing, and integration with various smart home devices and healthcare systems.
- Data Security:
- Encryption: Uses industry-standard encryption protocols (e.g., AES-256) to ensure that all transmitted data is secure.
- OAuth 2.0, JWT: For secure user authentication and authorization, ensuring that only authorized users can access sensitive information.
Impact: IRONN EDGE Care transforms in-home care for vulnerable individuals by leveraging advanced AI to monitor and predict health risks in real time. It offers caregivers the ability to intervene proactively before a potential health crisis occurs, reducing the likelihood of hospital visits and enhancing the individual’s independence. The solution also supports privacy and data security, providing peace of mind for both patients and caregivers.
Example:
An elderly patient living alone may experience a fall that is detected by the IRONN EDGE Care system. The system immediately sends a notification to the caregiver’s mobile app, allowing them to take quick action, whether that’s reaching out to the patient or calling emergency services. This proactive approach helps prevent serious injuries and ensures the individual’s safety without requiring constant monitoring.