Anonymous estimation
Anonymous estimation is the practice of classifying people into broad attribute groups — such as age band, gender or staff-versus-customer — rather than identifying individuals.
Anonymous estimation is the practice of classifying people into broad attribute groups — such as age band, gender or staff-versus-customer — rather than identifying individuals. The output is statistical, not biometric: a customer is placed into a category, never matched to a profile or stored identity.
How it works
The AI infers attributes from body shape, gait, posture and clothing, not from faces (which are blurred at source). No face templates are generated, no biometric identifiers are computed, and no record links one visit to another. Every estimate is produced and aggregated locally on the APU, then released only as anonymous counts.
This is what makes the platform’s outputs safe to share across the organisation: you can analyse who is visiting in aggregate, without ever processing personal data about who any specific visitor is.