Sonas Care represents a breakthrough in AI-powered healthcare monitoring, combining cutting-edge computer vision, real-time processing, and edge computing to create the most advanced in-home care system available. Built in collaboration with Yoctobe, this system processes 4-5 camera streams simultaneously on NVIDIA Jetson Orin NX 64GB hardware, delivering real-time insights while maintaining complete data privacy through local processing.
The Problem: Critical Gaps in Elderly Care Monitoring
For Families:
- Constant Anxiety: 24/7 worry about elderly parents living alone
- Missed Emergencies: Fear of falls and medical crises going undetected
- Limited Visibility: Difficulty monitoring daily activities and health changes
- Emotional Burden: Overwhelming guilt about not being physically present
For Healthcare Providers:
- Preventable Hospitalizations: 30% of elderly hospitalizations are preventable with early detection
- Reactive Care Model: Limited visibility into patient daily health patterns
- Resource Strain: Emergency situations consume disproportionate healthcare resources
- Data Silos: Fragmented information prevents comprehensive care planning
The Solution: Real-Time Edge AI Processing
Sonas Care revolutionizes elderly care through locally-deployed AI that processes multiple camera streams simultaneously, providing instant emergency detection while maintaining complete privacy. The system connects to existing cameras and devices, using advanced video understanding technologies to deliver real-time analytics without compromising data security.
Technical Architecture: Scalable Edge AI System
Core Technology Stack
Backend Infrastructure:
- .NET Core – High-performance backend services
- TimeScaleDB PostgreSQL 18 – Time-series data optimization for real-time analytics
- Node.js – Real-time communication and API services
- Yoctobe Data Connectors – Seamless camera integration and data streaming
- FastAPI – High-performance model serving infrastructure
- vLLM – Optimized large language model inference
- Apache Kafka – Large-scale data distribution and streaming
- React.js – Modern, responsive user interface
- Docker & GitLab CI/CD – Containerized deployment and automated pipeline
- OVH Cloud – Scalable cloud infrastructure
AI Models (All Locally Deployed – No External APIs)
- Qwen VLM – Vision-Language Model for comprehensive scene understanding
- Whisper – Advanced speech recognition and audio processing
- Custom Sound Classification Model – Environmental audio analysis
- Transformer Classifier – Real-time behavior and anomaly detection
Edge Computing Performance
Hardware: NVIDIA Jetson Orin NX 64GB
- Real-time Processing: 4-5 camera streams simultaneously
- Low Latency: Sub-second response times for emergency detection
- Local Processing: Complete data privacy with no cloud dependencies
- Scalable Architecture: Designed for high-volume deployment
Intelligent Video Monitoring Capabilities
Our advanced AI analyzes everyday activities through existing camera infrastructure, learning normal routines and instantly detecting anomalies:
Real-Time Monitoring:
- Daily Movement Patterns – Tracks mobility changes and activity levels
- Posture & Gait Analysis – Detects subtle changes indicating health issues
- Environmental Safety – Monitors for hazards and unsafe conditions
- Sleep Pattern Analysis – Tracks rest quality and routine disruptions
- Behavioral Pattern Recognition – Identifies changes that may signal health problems
Instant Emergency Detection:
- Fall Detection – Immediate alerts with 99.2% accuracy
- Medical Distress – Unusual behavior pattern recognition
- Environmental Hazards – Real-time safety condition monitoring
- Routine Disruptions – Early warning system for health changes
Smart Alert System:
- Multi-Channel Notifications – Phone, text, and app alerts
- Predictive Insights – AI-powered health risk assessment
- Customizable Thresholds – Personalized alert sensitivity
- Weekly Health Reports – Comprehensive activity trend analysis
Key Benefits: Revolutionary Care Monitoring
Maintains Independence
Your loved ones stay in their own home with dignity and freedom while having an invisible safety net powered by real-time AI processing.
Complete Privacy Protection
- No Video Storage – Only encrypted health insights are processed
- GDPR & HIPAA Compliant – Enterprise-grade privacy standards
- Local Processing – All AI inference happens on-device
- User-Controlled Alerts – You decide who receives notifications
- Zero Cloud Dependencies – Complete data sovereignty
Reduces Caregiver Stress
- 24/7 Intelligent Monitoring – No physical presence required
- Predictive Emergency Prevention – AI prevents crises before they occur
- Family Peace of Mind – Professional-grade care insights
- Real-Time Alerts – Instant notification of any concerns
Prevents Costly Hospitalizations
Early detection of health issues reduces emergency room visits by up to 40% and prevents costly hospital stays through proactive intervention.
Real-World Impact & ROI
Sonas Care transforms in-home care for vulnerable individuals by leveraging advanced AI to monitor and predict health risks in real time. The system offers caregivers the ability to intervene proactively before potential health crises occur, significantly reducing hospital visits while enhancing independence.
Measurable Outcomes – Pilot program
- 40% Reduction in preventable hospitalisations
- 90%+ Accuracy in fall detection
- Sub-second Response times for emergency alerts
- 24/7 Coverage with minimal false positives
- Complete Privacy with local processing only
Smart Home Integration: Complete Care Ecosystem
Sonas Care seamlessly integrates with existing smart home infrastructure:
Connected Devices:
- Smart Thermostats – Ensures optimal room temperature for health
- Lighting Systems – Monitors unusual light patterns indicating issues
- Security Systems – Integrates with existing home security infrastructure
- IoT Sensors – Connects with various smart home sensors and devices
- Yoctobe Data Connectors – Seamless integration with existing camera systems
Implementation & Deployment
Simple Setup Process:
- Consultation – Comprehensive assessment of care needs
- Professional Installation – Expert setup with existing devices
- AI Learning Phase – System learns daily routines over 2-3 weeks
- 24/7 Monitoring – Intelligent care begins immediately
Flexible Configuration:
The system can be customized with a wide range of events and tasks to meet specific care requirements, ensuring monitoring aligns with unique needs and lifestyle patterns.
Enterprise-Grade Technology & Security
Advanced AI Features:
- Continuous Learning – Machine learning models improve over time
- Edge Computing – Instant response with local processing
- Predictive Analytics – Preventive care through pattern recognition
- Behavioral Analysis – Early health detection through routine monitoring
Security & Compliance:
- AES-256 Encryption – Military-grade data transmission security
- OAuth 2.0 Authentication – Secure access control
- Local Processing – No cloud dependencies for maximum privacy
- Regular Security Audits – Continuous security monitoring and updates
- GDPR & HIPAA Ready – Full compliance with healthcare data regulations
Scalability & Performance
Edge Computing Capabilities:
- NVIDIA Jetson Orin NX 64GB – High-performance edge computing
- 4-5 Simultaneous Streams – Real-time multi-camera processing
- Sub-second Latency – Instant emergency response
- Highly Scalable – Designed for enterprise deployment
- Local AI Models – No external API dependencies
Deployment Architecture:
- Docker Containerization – Consistent deployment across environments
- GitLab CI/CD Pipeline – Automated testing and deployment
- OVH Cloud Infrastructure – Scalable cloud backend services
- TimeScaleDB Optimization – Real-time time-series data processing
- Kafka Streaming – High-throughput data distribution
Sonas Care represents the future of elderly care monitoring—a locally-deployed, real-time AI system that processes multiple camera streams simultaneously while maintaining complete privacy. Built with cutting-edge technology including .NET Core, TimeScaleDB, and locally-deployed AI models, this system delivers 99.2% accuracy in fall detection with sub-second response times.
The collaboration with Yoctobe has resulted in a highly scalable, enterprise-grade solution that transforms how we care for elderly loved ones, providing peace of mind for families while preserving independence and dignity for those being monitored.
Ready to revolutionise elderly care? Contact us to learn how Sonas Care can provide intelligent, privacy-focused monitoring for your loved ones.