Face Recognition Capability for Asset Management and GDPR Compliance
We manage a large number of digital assets (images and videos) containing identifiable individuals. Under GDPR, these assets are considered personal data and require proper consent management, traceability, and the ability to identify and remove or restrict usage upon request.
Currently, there is no functionality in the DAM to automatically identify individuals within assets, which makes manual compliance checks time-consuming and prone to human error.
Functional Requirements
Automatic Detection:
The DAM should automatically identify human faces in uploaded assets (images/videos).
Detected faces should be visually highlighted and optionally labeled.
Consent Linking:
Each identified individual should be linkable to a stored consent record.
If consent is revoked, related assets should be flagged or restricted from publication automatically.
Search and Reporting:
DAM users should be able to search assets containing specific individuals (based on consent ID or tag).
Generate reports on assets with missing or expired consents.
Asset Governance:
Assets with unverified or expired consent should be automatically hidden or marked as restricted for use.
Good news! We’re actively working on this feature! Our engineering team is currently building out the functionality. We’ll share updates and release timelines soon, so stay tuned.
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Anonymous
commented
We also need Facial recognition. I would like to train the model to recognize a set of individuals for example our board and leadership. We are constantly asked for pictures of X person, I should be able to type their name and find all photos.
The ability to find a person and then search for more images of that person would also be great.