IDS NXT is a new generation of vision app-based sensors and cameras from IDS. The devices offer maximum flexibility, as they can adapt to the users’ requirements and be used for different image processing tasks. For individual applications, which go beyond standard apps, users can create and install individual vision apps. The IDS NXT platform kicks off with the IDS NXT vegas with 1.3 MP CMOS sensor, liquid lens with autofocus, integrated TOF sensor and many other features. Furthermore, the company will shortly be launching the IDS NXT vegas with color sensor, as well as new firmware and cockpit versions.
Traditional vision sensors are usually specialised in a limited number of image processing tasks. If users want to use them for other tasks, they often reach their limits. With IDS NXT, we have chosen an approach that breaks with the classic principles of digital industrial cameras and offers virtually universal possibilities.
The new generation of devices is vision app-based, which means that apps can be installed and run quickly on IDS NXT devices, just as we are used to it from our smartphones or tablets. As a result, the new cameras and sensors have a variable range of functions and can handle a wide variety of tasks. Since we open the platform for users, they can even develop their own vision apps in just a few steps using the app development kit. The Virtual Box now also offers a Qt project wizard: newly created projects will already contain all important project information and dependencies, so that you can start directly with the actual programming of your vision app.
IDS NXT vegas is now available internationally. As an embedded vision component, the 185 g lightweight sensor simplifies integrated design into individual device hardware and software. The board-level option is also very interesting for OEM equipment manufacturers. IDS NXT vegas can be used, for example, in optical quality assurance, as an analytical device in medical technology, for monitoring tasks by facial recognition or for vehicle and people counting.