Custom Builds
We Build the Model for Your Camera
Every other rPPG vendor ships a fixed SDK and expects you to conform to their specs. Circadify conforms to yours. We build custom preprocessing algorithms, train rPPG models from scratch on your camera data, and tune them for your exact deployment hardware.
From automotive cabin cameras to smart glasses to clinical kiosks — if it has a camera, we can extract vitals from it.
Deployment Types
Automotive Cabin Monitoring
Custom preprocessing for in-cabin NIR/RGB cameras. Drowsiness and cardiac event detection under vibration, glare, and partial occlusion. Optimized for automotive-grade embedded processors.
Smart Glasses & Wearable Optics
Periorbital and temple-region extraction from extreme close-range optics. Custom models trained on your specific lens and sensor hardware with ultra-low-power wearable SoC inference.
Clinical Kiosk & Point-of-Care
Fixed-mount camera optimization with controlled-environment preprocessing. Models trained on your exact kiosk enclosure, lighting rig, and camera module. Direct FHIR R4 output.
IoT & Embedded Camera Systems
Noise-resilient preprocessing for sub-720p and high-compression feeds. Deploys on ARM, RISC-V, and edge TPUs. Elderly care, smart home, and industrial safety integration.
Mobile & Tablet Builds
Per-device model training for your exact smartphone or tablet hardware. Custom preprocessing for auto-exposure, rolling shutter, and OIS artifacts. Native iOS and Android SDKs.
Infrared & Thermal Imaging
Custom NIR and LWIR signal extraction models. Works in complete darkness. Wavelength-specific preprocessing tuned to your IR sensor characteristics for military, security, and clinical use.
From Your Camera to Production Vitals
Custom Preprocessing
We analyze your camera hardware specifications and build custom preprocessing algorithms that handle the specific noise characteristics, compression artifacts, lighting conditions, and motion patterns unique to your deployment environment.
Model Training
We train rPPG signal extraction models from scratch on data captured from your exact camera hardware. This ensures maximum signal fidelity — not a generic model hoping to generalize, but a purpose-built model for your sensor.
Tuning & Optimization
We tune the trained model for your target processing hardware — whether that's an automotive-grade embedded processor, a wearable SoC, an edge TPU, or a smartphone chipset. Inference speed, power consumption, and accuracy are all optimized.
Deployment & Integration
We deliver a production-ready, tested integration — not sample code. Custom SDK configuration, output formats (FHIR R4, HL7, custom JSON), and white-label UI components built to your specification.
Have a Custom Camera Deployment?
Tell us about your camera hardware, deployment environment, and use case. We'll scope a custom build and deliver a production-ready integration — typically in 1-2 weeks.
Talk to Our Engineering Team →Request A Demo
See how contactless vitals can transform your healthcare delivery.