Anonymisation is irreversibly transforming data so that a person can no longer be identified from it, by anyone, by any reasonably likely means. Truly anonymised data falls outside data-protection law, because it is no longer personal data — which makes anonymisation a powerful tool, but a demanding one, because the bar is genuine irreversibility, not just hiding the obvious. In surveillance it underlies privacy-preserving analytics: counting people or measuring dwell time from aggregate patterns without ever identifying individuals.

It must be distinguished sharply from pseudonymisation. Pseudonymisation replaces identifiers with a key or reference (a track ID instead of a name) but can be reversed with additional information, so pseudonymised data is still personal data and still regulated — useful for minimisation, but not an exit from the law. Anonymisation, done properly, cannot be reversed; the EDPB has stressed that the test is whether re-identification is reasonably possible, including by linking with other data.

The pitfall is calling something anonymised when it is only obscured. Video is unusually hard to anonymise: a blurred face can sometimes be reconstructed, and gait, clothing, context, and movement can re-identify a person even without a clear face — so "we blurred the faces" is not automatically anonymisation. Treat reversible masking and pseudonymous tracking as still-personal data subject to the full regime, reserve the "anonymised" label for outputs you can defend as genuinely irreversible (typically aggregate statistics, not video), and verify the re-identification risk honestly. This is engineering guidance, not legal advice — confirm specifics with qualified counsel.

Book cover: Video Encoding, Volume 1 of the Fora Soft Video Engineering HandbookBook cover: AI for Video, Volume 6 of the Fora Soft Video Engineering HandbookBook cover: AI for Video, Volume 7 of the Fora Soft Video Engineering Handbook

The handbook · 7 volumes

Fora Soft Video Engineering Handbook

Anonymization only takes footage outside privacy law when people cannot be re-identified by face, gait, plates or context, which blur alone rarely achieves. We wrote seven volumes covering the whole video stack, and for anonymization start with Volume 6: detection, segmentation and tracking used for masking, plus deployment topologies, with Volume 7 covering biometrics regulation. Written by Nikolay Sapunov, CEO at Fora Soft.

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