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Artificial intelligence for SICK sensors
  • Interference takes place directly on programmable SICK products
  • Training of neuronal networks in the SICK cloud
  • Support via SICK Support Portal
  • Neuronal networks optimized for SICK products
  • Free trial offer on request
  • Deep Learning is part of the SICK AppSpace eco-system
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2D machine vision solution powered by deep learning
  • Classification of objects powered by deep learning technology
  • Runs on InspectorP62x Deep Learning 2D cameras
  • Easy-to-use user interface in web browser
  • Traditional rule-based machine vision software tools included
  • Quick customization with SICK Nova Tools
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Machines are learning to think. Deep learning is a machine learning technique − and the most significant future technology in artificial intelligence. SICK transfers this key technology to its... Read on
Waldkirch, 30 April 2019 – SICK achieved above-average growth in sales again during the 2018 fiscal year, measured against the growth rate of Germany’s engineering sector. Orders received exceeded... Read on
Deep learning is one of the SICK presentation topics at the Hannover Messe 2019. The chancellor was personally very impressed with this and other aspects of the advancing Industry 4.0 applications. During... Read on
SICK supplies a wide range of solutions for logistics, process and factory automation along the value-adding chain. On behalf of the many other industries and complete solutions, SICK has selected four... Read on
Waldkirch, 29 April 2020 – SICK continued growing in a challenging market environment. Group sales by the sensor producer increased by 7 percent to EUR 1,750.7 million during the 2019 fiscal year... Read on
The time has arrived: Industry 4.0 is happening now. SICK will show what this looks like at the Hannover Messe 2019 from 1 to 5 April 2019 with a live stream from the 4.0 NOW Factory in Freiburg. The official... Read on
SICK AppSpace Artificial Intelligence
Deep Learning
  • Description: DStudio is a SICK web service that can be used to train neuronal networks which are optimized for various SICK devices. Thanks to the intuitive user interface, it can be used even without sound AI knowledge. Progress and success of the training are shown in clear graphics so the neuronal network can be assessed before it is put into productive operation.
  • Note: DStudio can be found at dstudio.cloud.sick.com. Please use your SICK ID for login.
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SICK opened the gates to the 4.0 NOW factory in Freiburg in 2019. Since then, not only have groups of visitors gained exciting insights into production there, but also Joachim Schultis, Head of Operations... Read on

Type: Product family overview

Part number: -

Title: Deep Learning

Release date: Jan 30, 2021

Size: 320.54 KB

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Type: Special information

Part number: 8019161

Title: SICK AppSpace

Release date: Nov 12, 2018

Size: 3.37 MB

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