- Synapticon GmbH
- Etihad Airways
- Lufthansa Flight Training
- Thomas Regout International
- Toronto Rehabilitiation Institute
- Turkmenistan Airlines
- Veraxx / US-Marine Corps
- ACS-Hydraulics / US-Navy
Motorcortex is a hard-real-time Linux-based Control System for high-end industrial applications. It provides real-time control of industrial hardware (e.g. over EtherCAT, CAN or ProfiNET) and a very high-performance communication layer to higher level applications, such as a User Interface or Data Analysis Tools.
Motorcortex allows high-speed streaming communication directly to the webbrowser (without an intermediate server), which is a game-changer in industry. It is now possible to build highly-responsive web-applications for extremely smooth interaction with machines.
True Industry 4.0
MOTORCORTEX-based Applications are already setup to share all their data automatically in the Realtime-Database, so external applications or services can access the data.
Beautiful and responsive user interfaces for machines
Because the MOTORCORTEX Control System is optimized for use with webbrowsers it means that webdesigners can now make beautiful custom user interfaces for machines, that are easy to use and work on any device.
Moreover the Motorcortex-Canvas GUI builder allows anyone with a webbrowser to create a machine dashboard quickly by simply arranging elements on a canvas and connecting them to real-time machine data.
Add additional skills to your MOTORCORTEX application:
- Use MOTORCORTEX Control Desk to make traces of all available Machine data, straight from your browser
- Create User Interfaces, Visualizations and Dashboards with MOTORCORTEX-Canvas
- Install MOTORCORTEX-Tracer to dump selected data to disk or upload it to the cloud based on events (such as machine faults)
- Generate code directly from Matlab-Smulink
- Add MOTORCORTEX-Control-Lib to your application and use control objects like filters, signal generators, PID controllers, switches, soft-stop and many more functions.
- Stream machine data directly to SQL Databases or Cloud Services like Amazon IoT to be further processed by stream processing tools like Kafka, Flink or Storm.