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Computer Vision & Machine Learning

Computer Vision & Machine Learning

At the core of our technology works our inspiring computer vision / maschine learning team. Here, we conceptualise and implement the algorithm which enables our automatic identifying solution and makes it so safe to begin with. We use state of the art methodes to establish face and age recongnition as well as many more methodes of the highly interesting field og machine learning. Experts in machine learning and scientists find their professional home here, to use their expertise and combine scientific findings with practical know-how to bring into a product based context.

Computer Vision & Machine Learning

Tech Stack Computer Vision & Machine Learning

Python
Python

We use Python for developing our services, training models and computer vision processes.

Tensorflow
Tensorflow

For training models and for preprocess our media resources.

Open-CV
Open-CV

We use several methods from this library to preprocess images and video.

Flask
Flask

For web services to connect the ML models with backend.

Drone
Drone

For CI: Drone CI, pipeline automation.

Kubernetes
Kubernetes

For resource management: Kubernetes for the deployment of all our services.

Docker
Docker

For containerization: Docker to prepare the machines that host our services.

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