Embedded rPPG Engine Capabilities
Contactless vitals monitoring designed for hardware integration and edge deployment
Vitals You Can Embed
Health signals your devices can capture through a standard camera module
Heart Rate Detection
The Circadify engine detects heart rate through optical analysis of facial blood flow patterns. Sub-pixel color variations caused by each cardiac cycle are extracted from the camera feed and converted into continuous pulse data.
HRV Metrics
Access heart rate variability analysis including time-domain metrics (SDNN, RMSSD) and frequency-domain parameters. These measurements provide downstream applications with autonomic nervous system indicators.
Stress Indicators
Physiological markers associated with sympathetic nervous system activation are computed on-device. These signals can feed into wellness scoring, triage logic, or user-facing dashboards on your hardware.
Longitudinal Tracking
For devices with persistent user profiles, the engine supports longitudinal data output so your platform can track vitals trends over time and flag meaningful deviations from a user's baseline.
Vitals You Can Embed
Built for Embedded Environments
Architecture decisions that make Circadify work on real hardware in real deployments
Camera-Agnostic rPPG Pipeline
The rPPG pipeline accepts standard video input from USB, MIPI CSI, or integrated camera modules. No proprietary imaging hardware required. The engine normalizes across different sensor characteristics, resolutions, and frame rates.
On-Device Signal Processing
All signal extraction, noise filtering, and motion artifact rejection runs locally on the device processor. No network dependency means your kiosk or IoT device works in air-gapped, low-connectivity, or offline environments.
Data Stays on the Device
Video frames are processed in-memory and discarded. Vitals data is output to your application layer but never transmitted externally by the engine. This architecture supports deployments where data residency and patient privacy are non-negotiable.
Built for Embedded Environments
Embedded rPPG vs Contact-Based Sensors
| Feature | GetMedScan | Traditional Methods |
|---|---|---|
| No Physical Contact Required | ||
| Zero Consumables or Calibration | ||
| Works With Standard Cameras | Limited | |
| Edge-Native Processing | Rare | |
| Multi-Vital Detection |
Experience GetMedScan Today
See what contactless vitals monitoring can do — try it free.