01
The wrong file can defeat perfect redaction
Teams often focus on model accuracy while storing censored and uncensored exports side by side with ambiguous names. A release error can expose the original even when the protected version is flawless.
Separate source, working and approved locations. Use a release owner and clear status labels.
02
Faces are not the only identifier
Badges, documents, screens, number plates, voices and distinctive context may identify someone. Face censorship is one control inside a broader disclosure review.
- Unclear scope or audience.
- No final-export review.
- Overly weak blur at full resolution.
- Temporary copies retained indefinitely.
- No owner for approval and release.
- Assuming automation guarantees compliance.
03
Make exceptions visible
Track recurring correction types without retaining unnecessary personal content. Use anonymised scenario labels such as low light, profile or reflection.
Convert those exceptions into a stable regression set for future product and hardware changes.
Apply the workflow
Review real footage locally.
CensorFlow detects and tracks visible faces on your Windows PC, then lets a person correct and approve the result before export.