The leading international fair for embedded systems, Embedded World 2018, takes place on 26 – 28 February 2019 in Nuremberg, Germany. This is the place to meet #QtPeople and partners!
Visit Hall 4, Stand 4-258, where we will showcase the newest and coolest in Automotive, IoT, Medical and Industrial Automation demos as well as Qt Design Studio.
Long feedback loops between designers and developers can make iterative UI design slow and cumbersome. Further, working relationships between designers and developers can be complicated. It's as if they speak different languages. No more! Qt gives you the tools that make collaboration between designers and developers easier and more efficient than ever before. The Qt UI Design Tools empowers designers to do live-testing on target devices, generate code and assets for their developers automatically based on their design prototypes. The tools close the gap between designers and developers so they can work simultaneously with one common UI framework, which means fast iterations, effective and lean workflow, and a shorter Time-to-Market!
Proof of concept on how Qt Professional Services can provide optimization for scaling Qt down on Cortex-M7 or even Cortex-M4. The work includes enabling Qt features specific to the customer project as well as helping customer with their sw architecture and application design so that it will run smoothly on an MCU. Even the full solution can be done as a turn key service.
The Learning Robot is a joint activity of the Qt Company and AWS showcasing the ease of EDGE device machine learning capabilities in conjunction with Qt Application and Device Creation development. In this project the machine learning framework MXNET is utilized to analyse a human body via computer vision in real time. While this processing, arms and hands/fists are recognised to control two robot arms at the simultaneously. With this, the user will be able to control the robot arms with his own arm movements. Set up as a game, the user is supposed to move books out of a shelf from one end to the other.
The real life benefits are mainly existing where either low-latency machine learning is crucial or where cloud scenarios are not recommended due to reliability or security concerns. This includes but is not limited to:
* Quality and Failure Detection (e.g. Food and Beverage)
* Process and Product Optimization (e.g. Speech, Audio, or Video)
* Maintenance Improvements (e.g. Anomality Detection)
* Operation and Process Improvements (e.g. CoRobot control)
In addition to our own demos, our partners and customers will bring their own implementations #BuiltWithQt. Find out more about them below!
Experience a fully integrated digital cockpit reference platform with Qt Automotive Suite and PELUX running on Intel Automotive Reference Platform (ARP), allowing you to create your own customized infotainment system for your specific business needs. It helps differentiate your brand from the competition while avoiding spending time on commodity building blocks. Book this demo
You can check out the demo video here.
This project is a KDAB R&D effort to create a standalone GUI for performance data. For the first time, Hotspot allows developers to analyze graphically profiling data from Linux perf.
It can be used on any C/C++ application including those using Qt of course!
See video here.
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Check out some of our latest white papers and customer success stories below.