Computer Vision a Modern Approach:
We utilise the latest thinking in a state-of-the-art and robust solution.

The optimal solution initially comes from a great idea, so we have collected relevant information about the technology, creating a foundation for awesome ideas.

Feel free to browse around:
– Where to start a Computer Vision Project –
– Concept of Computer Vision Technology –
– Performance Of Computer Vision Algorithms –

Technology Overview:
-Deep Learning with a Convolutional Neural Network-
– Edge Computing vs Cloud Computing –
– Computer Vision: Future –



Where to start ?

When applying Computer Vision to your business, a typical approach could look like this:

We can help you with all parts of the process, but defining the problem will always require thorough insight, that only your company possesses. When we understand the problem and the possibilities the technology can deliver, we can identify possible computer vision tasks. Afterwards, we assess the constraints that arise when combining the technology and the problem, enabling us to develop a solution that, in the best possible way, solves the problem.

When the model is developed, we can then embed it into the desired device or cloud service. Read more about implementing AI on our blog.

Computer Vision business cases at a quick glance

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Concept of Computer Vision Technology

Computer Vision (CV) is a field of Artificial Intelligence, that seeks to develop methods to replicate the visual intelligence of humans. The technology can acquire data from images or stacked images (video), learn from the data (machine learning) and determine the best approaches to recognizing the unique patterns of interest. To make CV possible we use a mix of different scientific methodologies ranging from mathematics, computer science, physics and biology. Successful solutions require the creator having a comprehensive insight into these topics and their interaction.

How Computer Vision Do Pattern Recognition?

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Why Machine Learning With Deep Learning Is Important?

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Difference: Supervised And Unsupervised Learning

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The Building Blocks Of Computer Vision Technology

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What Can Computer Vision NOT Do?

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Performance of Computer Vision Algorithms

When buying a product, it is important to know the parameters that describe what and how well-performing a system is. At present, there is no set of industrial standards that encapsulates performance in a set of simple metrics. The current de facto standard is to use the metrics from academia. One common issue with this standard is that interesting research problems often have a “problem-focus”  that diverges from industry needs. 

What Metrics Can Evaluate Computer Vision Solutions?

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Working With Data and Custom Training To Boost Performance

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Technology Overview

To understand the technology behind Computer Vision, a basic understanding of what makes the technology possible, the possibilities and the future are needed to create a solid baseline. Therefore we have described the most relevant points regarding; Convolutional Neural Networks, Deep Learning, Embedded/Cloud-solution and The Future:

Deep Learning with CNN`s (Convolutional Neural Networks)

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Edge Computing vs Cloud Computing

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Computer Vision – Future

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