Beam AI extracts heart rate, stress, and HRV from the selfie camera in real-time. No wearable. No hardware. Three lines of code.
Sign up in seconds. No credit card required to start. Your key is ready instantly.
Create API key →POST a base64-encoded selfie frame to our REST endpoint. Any camera, any platform.
Receive heart rate, HRV, SpO2, stress index, and respiration rate — in milliseconds.
The SDK accesses the front-facing camera and tracks skin regions across the face with sub-pixel precision.
Remote photoplethysmography (rPPG) detects subtle color variations caused by blood flow beneath the skin surface.
Proprietary peak detection algorithms derive heart rate, HRV, and stress (Baevsky Stress Index) from the extracted signal.
Real-time readings flow into your application through a clean Swift API. Continuous monitoring or spot checks, your call.
Published on arxiv, benchmarked on UBFC and MMSE-HR datasets. 99.2% heart rate accuracy isn't a marketing claim, it's a citation.
All computation happens on-device. No cloud round-trips, no latency, no privacy concerns from streaming video to servers.
Import the SDK, initialize with your API key, start monitoring. Full documentation and open-source sample apps on GitHub.
Video frames are processed locally and discarded immediately. Only derived metrics leave the device. Zero biometric data stored.
Every smartphone already has the sensor. Beam AI provides the intelligence. From wellness apps to telehealth platforms, contactless vital signs are becoming the standard.
Want to know how rPPG works under the hood? Read: How Camera-Based rPPG SDKs Work →
