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Objective: GDPR-compliant images

When using imaging processes, companies or organisations must ensure that they are GDPR-compliant. Personal data that is collected and processed must be protected in accordance with the General Data Protection Regulation.


Anonymisation and pseudonymisation are particularly necessary when using vision AI in public areas. In order to prevent the identification of individuals, objects can be pixelated, blackened or similar.

  • Faces
  • Licence plates
  • Individually defined sensitive areas, e.g. windows, street names, etc.

The entire process is carried out using AI-supported machine learning.


Fine-tuning: For maximum performance, our AI technologies can be customised to your specific requirements and environments at any time.

DSGVO-example-top
DSGVO-example-top

Instant pixelation for indoor and outdoor use

Drone application
Drone application
Traffic management
Traffic management
Retail trade
Retail trade
Event management
Event management
Public places
Public places
Healthcare
Healthcare

Pseudonymisation (GDPR Art. 4 & 32)
and Data Protection by Design (GDPR Art. 25)

  • Reduce the risks for your company by complying with the regulations.
  • Customised to your use case for maximum security.
  • Strengthen trust in your company.

Quick start with pre-trained pixelation DENKnet:

Identification of the faces and number plates areas to be anonymised is possible immediately thanks to the pre-trained network. No image preparation by the customer is necessary for the use of AI-based image analysis by DENKweit.

As with all DENK technologies, it can be used in the DENK VISION AI Hub without any programming knowledge. The software can be easily integrated into on-premise or cloud systems.

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