CompactRIO System on Module

NI System on Module (SOM) devices are fully tested and validated hardware products that ship with a complete middleware solution and Linux-based RTOS already integrated into the system. The NI SOM uses a graphical approach to programming the FPGA, eliminating the need for HDL expertise. Before development, quickly prototype with CompactRIO, then deploy with the SOM reusing the majority of the code. Use the development kit to simplify the board design with reference designs and quickly integrate I/O with PMOD connectors and a digital prototyping area. The combination of the integrated software, intuitive FPGA programming, prototyping capability, and simplified development process results in a significant reduction in development time, design, risk, and time to market. The NI SOM is designed for high volume OEM applications.

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  • SUPPLIER
  • National Instruments
    NI provides powerful, flexible technology solutions that accelerate productivity and drive rapid innovation. From daily tasks to grand challenges, NI helps engineers and scientists overcome complexity to exceed even their own expectations. Customers in nearly every industry—from healthcare and automotive to consumer electronics and particle physics—use NI’s integrated hardware and software platform to improve our world.
  • SNAPSHOT
  • Processors & Boards
    System on Module (SOM)
  • Application Industries
  • Transportation
  • Application Functions
  • Product Development
  • USE CASES
  • Factory Operations Visibility & Intelligence
    Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle.Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.  
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