Adaptive Vision is a leading provider of user-friendly machine vision software and a powerful library that contain both traditional and deep learning-based tools. Since 2007, we have been working as a reliable partner of machine builders, vision system integrators and industrial end-users. 

Our product portfolio includes:
•    Adaptive Vision Studio - a data-flow based software designed for machine vision engineers. It does not require any programming skills, but it is still so powerful that it can win even with solutions based on low-level programming libraries. And this has been proved with some of the most interesting vision systems in the world. What is more, the architecture is highly flexible, ensuring that users can easily adapt the product to the way they work and to specific requirements of any project.

•    Deep Learning Add-on - a set of ready-made tools based on deep neural networks. It comes with an easy training GUI. Under the hood, it uses WEAVER, an industrial-grade inference engine.

•    Adaptive Vision Library - a machine vision library for C++ and .NET programmers. It provides a comprehensive set of functions for creating industrial image analysis applications – from standard-based image acquisition interfaces, through low-level image processing routines, to ready-made tools such as template matching, measurements or barcode readers.  The functions available in Adaptive Vision Library closely correspond to the filters of Adaptive Vision Studio. Therefore, it is possible to prototype your algorithms quickly in a graphical environment and then translate them to C++ or .NET, or even generate the C++ code automatically.

•    Zillin.io - a comprehensive online image hosting and annotation tool, highly integrated with the Adaptive Vision Deep Learning Add-on but also perfectly fine for independent use due to the high flexibility of the annotation format. The wide array of marking tools, attributes and questions make it an indispensable component of any machine learning project, whereas the robust selection of project roles enables efficient privilege assignment to various participants, ensuring data security especially in the context of relegating the annotation work to outside contractors.