SICK announces AppSpace ecosystem for 2D and 3D machine vision applications

  • June 24, 2020
  • SICK, Inc.
SICK announces AppSpace ecosystem for 2D and 3D machine vision applications
SICK announces AppSpace ecosystem for 2D and 3D machine vision applications

June 25, 2020Users can create individual SensorApps on your own–without programming skills– to solve automation tasks. Starting at the end of the year, this will all be possible in the SICK AppStudio, part of the SICK AppSpace ecosystem.
 
SICK customers can create their own individualized SensorApps to solve individual sensor applications — without having to program anything.
 
In the SICK AppSpace eco-system, programmable sensors and edge devices can be configured for new tasks using SensorApps. Many apps are already available for download via the SICK AppPool. For specific applications, SensorApps can also be used independently by the  customer and developed together with SICK experts and the support of a developer community. Until now, basic programming skills were required to generate your own SensorApps in SICK AppStudio. That is no longer the case with the new AppPool.
 
With a graphic interface in SICK AppStudio, users can now solve specific sensor applications, even without programming skills, by configuring and linking pre-defined function blocks in a data flow. The starting point is always figuring out what the sensor has to do.
 
Thanks to the open architecture of SensorApps, there is still the option of adjusting the source code of function blocks to implement more challenging applications and individual requirements.
 
The rising demand for new and adapted function blocks can be satisfied from our growing community of developers. The diversity and possibilities of the SICK AppPool are growing, as are the fields of application of sensors and sensor systems.
 

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