Machine Vision

In our previous article, we discussed what are the parameters controlling the training process of machine learning algorithms. We…

Deploying machine learning models into a production environment can be a long and winding road. A lot can go wrong between the…

Now that we have chosen the right algorithm for our machine learning problem, and we have collected and prepared a dataset, we can finally…

Data is a key component of machine learning. Without a good dataset, it is impossible to build a good model, no matter how complex your…

Got a data-related problem? No worries, let deep learning sort it out. This may be a natural reaction, but it’s not always the best one…

Data is a key component of AI, artificial intelligence and machine learning. Without a good dataset, it is impossible to build a good…

Hardware is continuously evolving and new types of training frameworks, AI models and runtime environments are popping up every so often…

At Kapernikov, we like to apply deep learning, especially for challenging computer vision projects. We recently did this for Telraam, a…

In this next article in our machine learning series, we discuss some of the most common traditional machine learning algorithms that are…

The recent advances in machine learning have given computer vision algorithms the ability to perform tasks with ever increasing speed and…

Experimentation is an essential part of training machine learning models. Feeding a model with new data can lead to new insights and new…

Machine vision systems typically collect large amounts of data that need to be stored and analyzed in order to make a decision. To do this…

The success of an AI-driven machine vision system depends on the interaction of different factors. In this article, we discuss three ways…

Machine vision systems use cameras to inspect objects or to automate other perception tasks. But that doesn’t mean they use standard…

Did you know that 80% of the information we need to perceive the world around us comes from our eyes? So, it’s safe to say that vision is…

DVC is a tool to track dataset versions for your ML model, integrated with Git. This way, you can track versions of your data and model as…

When you build a machine vision system, you expect it to perform reliably under varying conditions. To make sure it does, the system needs…

Flanders Hydraulics Research is building a new Maritime Research Center in Ostend, together with UGent and KULeuven. The center will be…

Rat-run traffic, air pollution and traffic safety give city planners huge headaches these days. Systematically counting traffic and…

In machine learning or deep learning, training a good model starts from the data that is fed into it. At Kapernikov we do a lot of computer…

This manual will walk you through the installation of Ubuntu with a working CUDA setup on a Dell XPS15.

Last year, Kapernikov embarked upon a new project with Infrabel’s Lidar data: the detection of catenary cables and their intersections…

Kapernikov develops promising proof of concept based on its KIPP platform

A no-hardware-required hands-on tutorial