Cool, you are building vision models! But can you deploy 📦 and scale 🚀 them? You are not alone. At UUG.AI we scale machine learning models and computer vision algorithms to transform vision into innovative and impactful solutions, enriching lives and industries.
At UUG.AI we are bringing machine learning for vision to life by implementing tools such as kerberos.io to scale a video network of ip cameras, applying MLOps best pratices to scale machine learning models through kubernetes and docker and making models interactive through custom user interfaces and industry specific use cases (e.g. facial access control). In the end a machine learning model without a UI, that cannot scale, is just a model that nobody can use.
We have build an open source product that relies on various face recognition models, and embedded it into a feature rich web application that allows an organisation to safely add and store biometric data and provide access to various tools and rooms through API's, IoT or IO devices. To deploy the model into a production environment, you might want to combine this with Kerberos.io to provide to scale.
📚 Learn more about the project
Kerberos.io comes with a range of solutions helping you to setup a small video surveillance deployment flawlessly, with just a few cameras, and scale out to a large enterprise deployment, with thousands of cameras. It provides features to bring your own cloud (on-premise, hybrid, cloud), bring your own storage (Ceph, Minio, GCP, AWS, Azure, Storj, etc) and bring your own cameras (RTSP H264 and H265). In other words, you run the show!
📚 Learn more about the project
Within uug.ai we are always on the lookout for talented, creative and amazing people. Are you looking to becoming an machine learning or computer vision engineer? Then have a look at one of our internships on our website.
