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Till Adam, interviewed at Embedded World 2020, gives a brief but comprehensive introduction into how KDAB can help you with your embedded software project, and indicates tooling, training and other resources from KDAB you can access, many of them free and open source.

Selecting programming languages and frameworks for new software projects involves difficult choices. Should you stick with Qt as the best tool, switch to web-based technology or mobile-specific solutions, or choose Python for machine learning integration? This video outlines key considerations and offers a comprehensive whitepaper for detailed guidance on making these critical decisions.

The demo shown at Embedded World 2020 featured 3D visualization of microscopy tissue samples, 2D images from cutting-edge clinical diagnostics datasets, and real-time conversion to 3D from 30 image channels using Qt 3D technology for advanced medical imaging applications.

This innovative electric scooter UI demo shown at Embedded World 2020 featured a navigation framework integrated with Qt Quick scene, speedometer implemented using OpenGL shaders, and ran on a Yocto-based platform, showcasing modern automotive interface capabilities for electric mobility solution.

During Embedded World 2020 we answered visitors' questions via video to provide information for people who did not attend that year due to the Corona virus.

Kuesa™ 3D Runtime is a glTF2.0 importer for Qt 3D, part of Kuesa 3D Studio's complete toolset providing unified workflow for designers and developers. It solves the complex challenge of converting 3D assets into smooth applications by transforming glTF2.0 files into Qt 3D assets as easily as loading JPEGs. Supports major 3D host exporters and glTF2.0 features like skinned animations and PBR materials.

During Embedded World 2020 we answered visitors' questions via video because many people decided not to attend that year due to the Corona virus.

For SIGGRAPH 2018, KDAB worked on a new Qt 3D based demo. We decided that instead of using C++, it would be interesting to try out PySide2 and harness Python to drive the application. We used QtQuick and the Qt 3D QML API to declare the UI and instantiate the 3D scene and Python for the backend logic, data processing and models as well as definition of the custom Qt 3D meshes elements we needed to use in the UI.