SICK AppSpace Artificial Intelligence
Deep Learning

dStudio Token for Trained Classification Model
1614849
Please note: dStudio can be found at dstudio.cloud.sick.com. Please use your SICK ID for login.
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    • Product features
      DescriptionA dStudio token can be used to unlock a single deep learning model trained with dStudio for commercial use. We recommend testing the model created with dStudio first with the free, time-limited version, as each token can only be used once.
      TaskTraining of neural networks for classifying images
      Supported products

      InspectorP series

      SIM1012

      SIM1004

      SIM2000

      SIM2500

      SIM4000

      SICK AppEngine

      ProvisionDStudio is a SICK web service that can be used to train neural networks which are optimized for various SICK devices. Thanks to its intuitive user interface, the web service can be used even without in-depth AI knowledge. Progress and success of the training are shown in clear graphics so the neural network can be assessed before it is put into productive operation. The user must log in with a valid SICK ID to be able to use dStudio. An additional condition is that the service is activated for the respective country. Training of neural networks is free for evaluation purposes. To be able to use a trained neural network productively, it must be purchased either individually or as part of a subscription.
      LanguageEnglish
      TechnologyClassification of images based on artificial neural networks
      Input dataInputs regarding the classes to be detected. Images which are assigned to these classes during upload.
      Output dataTrained neural network which can be used on SICK devices to make a decision.
      Supported image formats

      bmp

      jpg

      jpeg

      png

      SICK AppSpace 3D images (json)

      DocumentationOperating instructions
    • System requirements
      Supported browsersGoogle Chrome (version 80 or higher)
    • Classifications
      eCl@ss 8.013030490
      eCl@ss 8.113030490
      eCl@ss 9.013030490
      eCl@ss 10.013030490
      eCl@ss 11.013030490
      ETIM 5.0EC002582
      ETIM 6.0EC002582
      ETIM 7.0EC002582
      ETIM 8.0EC002582
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