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
Computer Vision & Machine Learning
Tech Stack Computer Vision & Machine Learning
Python
We use Python for developing our services, training models and computer vision processes.
Tensorflow
For training models and for preprocess our media resources.
Open-CV
We use several methods from this library to preprocess images and video.
Flask
For web services to connect the ML models with backend.
Drone
For CI: Drone CI, pipeline automation.
Kubernetes
For resource management: Kubernetes for the deployment of all our services.
Docker
For containerization: Docker to prepare the machines that host our services.
