Our Technology Stack

State-of-the-art, trusted and versatile

Object Detection using Convolutional Neural Networks

Image and Video Anonymization with Deep Learning

Schematic depiction of Mask R-CNN.

Our core technology is object detection using deep convolutional networks (CNN), which in recent years has rapidly evolved from an academic playground to production-ready tools for solving industrial use cases fast and effectively.

We combine different architectures such as instance segmentation (Mask R-CNN[1] with a FPN backbone[2]) and keypoint detection (based on Faster R-CNN[3]) to anonymize people, vehicles, faces or licence plates.

As part of the NVIDIA Inception program for AI startups, we have access to support, expertise and training by NVIDIA, the leading AI hardware manufacturer.

Cloud, Docker and APIs

Scalable and Flexible Anonymization Pipeline

We have set up our scalable and flexible anonymization pipelines in GDPR-compliant data centres around Europe. Available also as a Docker container, it can be installed on a local machine, private or public cloud infrastructure.


Amazon Web Services



Latest Technology Blog Posts

Using object tracking to combat flickering detections in videos

How to decrease the amount of flickering detections in videos with object tracking.

How to copy XMP metadata between JPEG images (again)

Copying XMP metadata between images isn't straightforward. Read how it's done correctly.

Image Anonymization API: How can I implement it? What Can I Do with It?

Discover the benefits of using a REST API for image anonymization and learn how Celantur’s Cloud API can streamline your development process.

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