AI ready: App your camera with artificial intelligence

IDS NXT platform with additional models

IDS NXT rio & IDS NXT rome - Vision app-based cameras
VISION visitors will be the first to explore the groundbreaking prototypes of our vision app-based camera platform. The product families IDS NXT rio and IDS NXT rome (protection code IP65/67) redefine industrial cameras: they not only allow a highly flexible range of applications based on vision apps and integrable neural networks, but can also be used as fully-fledged standard industrial cameras.
 
IDS NXT rio and rome models are AI ready! Thanks to our self-developed AI vision app, they can be transformed into versatile, high-performance inference cameras with integrated accelerators for artificial neural networks. In addition to machine vision tasks that can be performed using other vision apps, the cameras can also be used in the future for tasks such as AI-based object recognition and classification. At VISION, we demonstrate these capabilities with an application that runs completely independently on an IDS NXT industrial camera.
 
Furthermore, our developers have designed a “Smart GenICam App” to make customer programmed applications for the cameras available, controllable and GenICam-compliant. For users, this means that they upload the desired new camera function to an IDS NXT model in the form of a vision app, whereupon its firmware integrates the application code into the camera's range of functions. Third party applications, such as HALCON, process the data generated by customer-specific programming just as easily as if they were part of the standard functionality of the industrial camera.
 
In addition, new sensors and communication interfaces will be added to the platform. At VISION, we will use an IDS NXT vegas prototype to demonstrate how the results of vision apps, the trigger for image acquisition and other process data can be conveniently transferred via the Profinet industrial protocol. Setup can be carried out as usual via the IDS NXT Cockpit; individual images can be retrieved via the REST interface.
 

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