GDPR-Compliant Blurring
for Images and Videos
Automatically anonymize faces, bodies and license plates in a cost-effective way
Industries
Processing and storing photos and videos containing individuals comes with privacy concerns attached
Flexible
Use Celantur's technology the way you prefer. As a cloud service, via Web API, or as an on-premise SDK.
Scalable
Process large amounts of data with ease. Our machine learning models run in the cloud and scale with your needs.
Cost-efficient
Automated Anonymization is faster and more cost-efficient than human labor.
Trust and Compliance
Data Protection is our core business. That's why we have strong measures in place to comply with the GDPR and other data protection laws.
Images are processed in GDPR-certified data centers in the European Union
External Data Protection Officer at service
All data and storage devices are encrypted
Annual Data Protection Audit
Up-to-date Documentation: Technical and Organizational Measures ("TOMs"), Records of Processing Activities and Service Description
Frequently Asked Questions
Let us help answer the most common questions you might have
Why are faces, bodies and license plates considered personal data under the GDPR?
The term personal data is defined in Art. 4 (1). Personal data is any information which is related to an identified or identifiable natural person. Our face, as well as our body, are the most fundamental and highly visible elements of our identity. Recent years have seen an exponential increase in the use, storage and dissemination of face images in social networks, corporate databases, smart-city deployments, digital media, government applications, and nearly every organization’s databases.Source
Also, an individual's license plate number can be used to indirectly identify someone.
How much does your service cost?
We charge a small fee per image or video frame. For large projects, our Sales Team will assist you with a tailor-made offer based on your specific needs.
How is the process of image and video blurring automated?
Our core technology is based on Convolutional Neural Networks (CNN), a class of deep learning techniques most commonly applied on object detection in images and videos. These machine learning models are deployed within our highly-scalable cloud platform. If you want to know more, you can consult our Technology page.
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