Digeiz uses clothing appearance to analyze the flow of visitors — not faces to recognize identities. The face is excluded from this logic. The system is designed for flow analysis and aggregate insight, not for identifying or authenticating people.
Digeiz does not use the face to understand movement across a venue. It uses visible shapes and colors of clothing to connect observations across cameras and points of interest without turning the system into a face-based recognition tool.
The Digeiz tag is built from visible clothing appearance cues, including shapes and colors observed across what a person is wearing. It does not rely on an exact body silhouette.
The purpose is to understand how populations move through a venue at scale: where flows build, how zones connect, which paths are most used and what patterns emerge over time.
Digeiz is not designed for facial recognition, identity authentication, named individual identification or person-level surveillance. The tag describes clothing appearance for movement analysis, not a unique identity.
