Face Recognition and Quitclaims in Beeldbank.nl: How It Works

Why Face Recognition Matters for Managing Consent

Publishing images of recognisable people requires clear permission. When you combine face recognition with digital quitclaims, tracking consent becomes automatic. Upload a photo, get a name suggestion from faces already in your archive, confirm or skip it, mail the quitclaim, and once signed, the consent links to every image of that person.

Beeldbank.nl builds this workflow into the image bank itself. The practical sequence runs from upload to signed consent to a clear consent status next to each person at search. This article walks through it step by step, showing how efficiency changes when consent follows the person instead of following individual photos.

How Beeldbank.nl Suggests Names From Your Archive

The first step is uploading your photos. Beeldbank.nl recognises faces in the images and, if that person is already named in your bank, suggests "Is dit ...?". You can confirm it, skip it, or bulk-process many suggestions at once.

The quality of suggestions depends on what you've already named. A person who appears in many photos is easier to match than someone with only one image. For someone who has never been named in your archive, you type the first name yourself. The more you name, the better the suggestions get.

Nothing is stored without your yes. If you skip a suggestion or correct a wrongly confirmed name later, you can make changes anytime without penalty. This control is important because a wrong name stored early causes problems downstream when quitclaims are linked to images.

Confirming Names While Staying in Control

Every name suggestion from Beeldbank.nl waits for your confirmation. You see each face and can confirm, skip or bulk-process similar ones at once. This step protects you because a wrong name leads to wrong consent status later on.

If a suggestion is wrong, skipping it means no incorrect name gets stored. If you confirm a name by mistake, you can change or remove it afterwards. The name is only final when you've confirmed it and you've approved it. Bulk processing means you can handle dozens of faces at once, but each one still waits for your yes before the system stores it.

Sending the Digital Quitclaim

Once a person is tagged, the next step is asking for permission. In Beeldbank.nl, select the person and mail the digital quitclaim with one button. No drafting emails or looking up addresses by hand. The system handles the addressing and sending automatically.

The person receives the form digitally and can sign it right there. When they sign, Beeldbank.nl assigns the consent status automatically and links the signed form to every image of that person. This automatic status assignment means you don't have to update each photo by hand after a quitclaim is signed.

One Signed Form, All Images Linked Automatically

This is where the efficiency gain appears. When a person signs the quitclaim in Beeldbank.nl, one signed form covers all images they appear in, even if there are dozens. Your effort follows the number of people, not the number of photos. If a colleague appears in fifty pictures, one signed consent covers all of them.

The consent status appears next to each person at search. You see a clear mark showing whether that person has approved their images. Before publishing any image, you can check this status instantly. A quitclaim shows consent for publication, but it doesn't replace other publishing rules. A photographer contract, brand restriction or client rule can still apply. Treat consent as one input to the publication decision, not the whole answer.

Comparing Manual and Automated Work

The table below shows what you would do by hand next to what happens when you use this workflow.

Workflow step	Manual process	In Beeldbank.nl
Identifying who is in a photo	Review each image and note names in a spreadsheet or database	Suggests "Is dit ...?" for people already in your archive; you confirm or skip, also in bulk
Finding all images of one person	Search by name or folder; check that nothing is missed	Finds all images of one person within seconds, every time
Sending the permission request	Draft an email, attach the form, send it to each person	Mail the digital quitclaim with one button press
Recording the signed form	Watch an inbox and keep a separate list of responses	Assigns the correct status automatically when the form is signed
Connecting consent to images	Update the status of each photo by hand, one by one	The form is linked automatically to all images where the person appears

Privacy Laws, Consent and What You Need to Know

Recognisable images of people are personal data under privacy laws, so consent matters. The KVK (Dutch Chamber of Commerce) states that images in which people are recognisable are personal data, which means the privacy law applies. A signed digital quitclaim is a record of consent for the purpose it describes.

The GDPR lists consent as one of six legal bases for processing personal data. It is not the only possible approach, and your specific quitclaim wording, retention policy and purpose description are legal questions. What Beeldbank.nl does is make the consent visible, searchable and linked to each image. You see which people have signed and which haven't.

Whether your organisation's quitclaim process, retention policy and purpose meet your legal requirements is a question for your privacy officer or legal counsel. This article provides background for your own compliance decision, not a compliance guarantee in itself.

From Upload to Published Image: The Complete Workflow

Here's the complete flow in Beeldbank.nl. You upload images. The system suggests names for people it recognises from your archive. You confirm or skip, nothing is stored without your yes. You select the person and mail the digital quitclaim with one button. The person signs digitally. The signed form links to every image of that person and marks the consent status. Before publishing, you check the consent status and any other rules that apply.

For a detailed checklist of face recognition features to look for in any DAM, see the face recognition checklist. For a comparison of face recognition across mediabanks, read which mediabank has face recognition.

When a person withdraws consent later, handling withdrawn consent explains the next steps. For a detailed look at managing suggestions and unknown faces, see the three tabs of face recognition.