People & operations · Feature guide

AI face privacy masking CCTV

You may need to understand activity without showing every person’s face to every viewer. AI privacy masking obscures detected faces in supported streams while leaving useful scene context visible. The right configuration depends on who views the footage and why.

Illustration of three office visitors with their faces obscured by mosaic masks
AI-generated illustration of ai privacy masking. The scene and overlays explain the concept; they are not a PGAK screenshot or measured result.

How it works

Automatically obscure detected faces in supported video streams.

Where it could help your business

Review office activity while limiting unnecessary exposure of identity.

Ask whether masking happens before recording, only during viewing, or only on exported clips. Check who can see the original stream. Test side profiles, people at the edge of the frame and crowded scenes for missed masks.

What your camera setup needs

Confirm where masking is applied, who can access originals and how missed detections are handled.

Does face masking make a recording anonymous?

Not necessarily. Clothing, location and other details can still reveal identity. Masking is one control within a wider privacy and access arrangement.

Check it on your own site

Bring a camera model list and explain the event you want to find or detect. We can use that to scope a compatibility assessment. Ask for a written proposal naming the supported functions, processing hardware, licences and pilot checks before agreeing to an installation.

Check my camera setup →