The pipeline begins with high-frequency kinetic capture. Local visual sensors stream raw skeletal frames at 60-120Hz. Image data exists only in volatile memory for the duration of vector extraction.

The ingestion layer utilizes a lightweight pose estimation model identifying 24 key skeletal joints, converting visual pixels into a raw coordinate matrix.

To ensure sovereignty, raw coordinates are stripped of absolute spatial markers. The Geometry Engine calculates relative joint angles and micro-acceleration vectors.

This creates an 'Identity Seed'—a normalized geometric signature that retains the rhythm of motion while discarding biological markers. The output is a pure behavior vector.

The behavior vector is fed into a Zero-Knowledge circuit. It proves the signal originates from a living human and matches a registered template without revealing raw data.

The system generates a succinct proof (<1KB), allowing verification without surveillance. Privacy is mathematically guaranteed.