AverCare Docs

How licensed remote-photoplethysmography estimates wellness signals from a camera sequence.

Reading physiological signals from camera frames sounds like science fiction, but remote photoplethysmography is an active field of study. AverScan uses the licensed NuraLogix DeepAffex implementation; AverCare does not infer measurements from selfies with a general-purpose vision model.

The core idea: your face blushes with every heartbeat

Every time your heart beats, it pushes a pulse of blood through the vessels just under your skin. That extra blood absorbs a tiny bit more light, so your skin gets imperceptibly redder and then fades back — dozens of times a minute. You can't see it. A camera, looking at many pixels over many frames, can.

It has a name

Measuring blood-volume changes from light is called photoplethysmography (PPG). The pulse oximeter on your finger at the doctor's office does it with an LED pressed to your skin. Doing it from a distance with a camera is remote PPG — rPPG.

From pixels to a pulse

Capture clean frames

The licensed measurement processes a short camera sequence. Quality gates check lighting, framing, and stillness. Raw camera photos/video are not stored by AverCare or sent to NuraLogix.

Find the skin

The measurement identifies regions that carry a useful optical signal (like the forehead and cheeks) and ignores eyes, hair, and background.

Watch the color shift

Across the frames, the app tracks minuscule changes in skin color over time. Plot that and you get a wavy line — a waveform.

Find the rhythm

The repeating peaks in that waveform are your heartbeats. Their spacing gives heart rate; subtle variation in the spacing gives heart-rate variability; the shape carries even more.

Why stillness and light matter so much

The signal AverScan is chasing is tiny — a fraction of a percent change in color. Motion and flickering light create changes far bigger than the heartbeat itself, which can swamp it. That's why the app insists on good conditions before it trusts a reading. It's not being fussy; it's protecting the result.

Heart-rate variability, briefly

A healthy heart doesn't tick like a metronome — the gaps between beats vary a little, and more variation is generally a good sign of a relaxed, adaptable nervous system. That variation is also how AverCare can estimate a stress indicator without a single extra sensor.

One engine, two licensed capture surfaces

AverScan uses NuraLogix DeepAffex transdermal optical imaging. A production device can run it through the native Anura SDK; supported development builds can use the embedded WMEA. Both produce the same signed point-pack contract. AverCare derives the displayed structured score and markers deterministically from that pack; a language model writes only the explanatory narrative.

An encrypted payload containing derived facial blood-flow and landmark information is sent to NuraLogix DeepAffex for analysis. AverCare retains the accepted measurement point pack and result for history, but it does not retain raw camera photos/video from the scan.

The honest caveats

Camera-based readings are estimates. AverScan is a wellness tool, not a diagnosis or a substitute for validated medical equipment. Skin tone, lighting, makeup, movement, device characteristics, and the population represented in validation data can affect accuracy. Confirm concerning readings with appropriate equipment and a clinician.

Validation and regulatory context

The Anura Mobile Core SDK M1 is listed in FDA 510(k) K253650 for contactless pulse-rate and breathing-rate measurement in its specified intended-use conditions. AverCare treats the broader Anura outputs as wellness estimates, not as FDA-cleared diagnoses or replacements for clinical equipment.

The science of AverScan