We deploy, design and fine-tune deep learning solutions for various types of computer vision problems

About

Vision++ is a Belgian high-tech company specialized in solving challenging computer vision and machine/deep learning problems. We offer services and solutions in various areas of computer vision, including pattern recognition, visual inspection, hyperspectral and 3D imaging, and data processing. The company was founded in 2007 as a spin-off of the vision group of the KU Leuven. Today the Vision++ team consists of a group of 16 highly skilled engineers with diverse backgrounds and specializations, who can tackle even the most demanding vision application. The activities of Vision++ can be subdivided into three groups: - First, we offer consultancy services to customers whose products or services rely on advanced computer vision and machine/deep learning algorithms. - Secondly, we assist our customers with product innovation. Here we cooperate with our customers in the development of innovative SW and HW solutions for a multitude of industries (biomedical, semiconductor, food & agriculture, automotive, manufacturing, etc.). - Finally, we offer integration services, in which we build complete turn-key solutions (SW and HW) for our customers. Typically, these are solutions for quality control and automation in production or logistical processes. Where computer vision and machine learning can be considered rather ‘classical’ components of AI, the domain of deep learning has only recently come to full development. Vision++ has executed several deep learning projects, dealing with anomaly detection, object detection & classification, image segmentation and regression. For this reason, we have hands-on experience with the application and adaptation/tuning of the most recent neural network techniques and architectures.

Key Benefits

We have executed several deep learning projects for our customers. These projects are currently in different stages of the technology development cycle: from proof-of-concept (PoC) to pilot to production ready. In several of these projects, we managed to surpass the current state-of-the-art in our customer's field of business.

Applications

Deep Learning for image processing is applicable in a multitude of of application domains, e.g. medical, biomedical, automotive, agriculture, manufacturing, semiconductor etc.

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