MedEdge AIoT
Transforming Patient Monitoring with Edge AI
Digital Health
Revolutionizing care through data-driven insights, enabling healthier lives at every step
AIoT
Smarter devices, smarter healthcare—where AI meets connectivity to transform patient care
Edge Network
Accelerating real-time decisions with powerful edge computing for reliable patient monitoring
The solution
Designed with four core components to provide seamless, real-time insights
- Hardware: High-definition camera connected to the system via USB.
- Real-Time Streaming: Video data streamed to Neural Processing Unit (NPU)
- Battery Operated: Low-power consumption with a rechargeable battery.
- Sensor Suite: Optical PPG and Single-Lead ECG AFE for real-time vital signsmonitoring,Temperature sensor
Connectivity: Bluetooth Low Energy (BLE) for low-power data transmission
- Real-Time Data Integration: Analyses video and wearable data simultaneously.
- Multicore Processing: Equipped with 6x Arm Cortex-A55 cores, Arm Cortex-M7, Cortex-M33
- AI: NXP eIQ® Neutron N3-1024S NPU (2 TOPS Dense)
- Graphics: Integrated 3D GPU (OpenGL and Vulkan)
- Backend: Python-based backend for seamless data collection and API exposure.
- Frontend: Real-time UI with HTML, CSS, and JavaScript.
- AI-Driven Insights:
▪ Posture Detection: Sitting & Walking
▪ Activity Detection: Eating & Drinking
▪ Cough & Sneeze Detection
Key Benefits
Enhanced Privacy & Security
Sensitive data is processed locally reducing data transfer risks
Real-Time Processing
Enables immediate data analysis & faster decision-making for critical applications
Scalability
Seamless integration starting from remote field to urban centre
Key Applications
Healthcare
Real-time health monitoring with wearables for early detection and intervention
Manufacturing
Predictive maintenance to reduce downtime and optimize production
Retail
Personalized shopping through intelligent kiosks and consumer behavior analysis.
Smart Cities
AI-driven traffic management to reduce congestion and improve safety