NXT Lighthouse version 1.1

Share this on social media:

IDS has released NXT Lighthouse version 1.1, intuitive AI training software without the need for programming.

In order to implement AI vision solutions, specialist knowledge, development effort and investment in computer hardware and storage technology are usually required. With cloud computing and specialised training services such as IDS NXT lighthouse, the process becomes much easier: neural networks can be trained individually and at the push of a button, without the need to set 978YIDS NXT ocean, the training software helps to make deep learning accessible to everyone. With the release of IDS NXT lighthouse version 1.1, additional functions are now available.

The training of neural networks in the web application requires three basic steps: to upload individual sample images, to label the images (e.g. "good" / "bad") and then to start the fully automatic training. The generated network can be executed directly on IDS NXT industrial cameras. This turns them into powerful inference cameras that can solve completely new image processing tasks thanks to artificial intelligence. They have learned which image features are important and are able to apply this knowledge to new image data. This is an enormous advantage compared to classical programming, especially in applications with highly varying objects.

All components - camera hardware with AI core and different sensors and protection classes, software, infrastructure, knowledge and support - are developed and provided by a single supplier. This holistic approach makes IDS NXT ocean a unique solution in the vision market. The IDS NXT lighthouse training software for neural networks is now available as version 1.1. The company has further improved both usability and the range of functions, for example by redesigning the detail view or extending filter functions. The next version is already in the works - then, in addition to classification tasks, object detection will also be feasible, for example.

The inspection engineer is able to see on the tablet that the structure is free of defects (Credit: Fraunhofer)

14 February 2023

Stephen Su shares how Arm’s Cortex-M85 processor and software ecosystem can be leveraged to overcome the constraints of microcontroller unit platforms

16 March 2023

Stephen Su shares how Arm’s Cortex-M85 processor and software ecosystem can be leveraged to overcome the constraints of microcontroller unit platforms

16 March 2023

Maharajan Veerabahu, co-founder at E-Con Systems, shares the industries in which embedded vision and AI integration shows great promise

15 March 2023

The funding will support Lumai in building and launching optical networks for next-generation artificial intelligence models

17 February 2023

The label-free and automatable method will enable therapies to be tailored to individual patients (Image: Gerwert et al./European Journal of Cancer)

16 February 2023