Conformance to the SOSA Technical Standard

December 14, 2022

The Open Group Sensor Open System Architecture, known as the SOSA™ Technical Standard, applies a modular open systems approach (MOSA) to high-performance defense sensor systems such as radar, electronic warfare, and SIGINT platforms.

The standard's goal is to design non-proprietary open systems based on DoD-relevant government or commercially available open architectures to lower system development costs and make system reconfigurability and future system upgrades easier and faster, to improve overall C5ISR capabilities.

A key part of the technical standard includes how conformance to the Technical Standard should be met for hardware, or SOSA modules, and how that certification process will take place.

During this webinar, experts involved in the SOSA Consortium and the standard’s development will discuss the elements of conformance to the Technical Standard, how the upcoming 1.0 release will address it, and considerations for the certification process.

Related Blog Post

Elma's Wistia Channel

Watch Here

观看更多网络研讨会

https://elma-2.wistia.com/medias/fn2x5bwjmm

A Deep Dive into the QMC (VITA 93) Standard - Unveiling the Future of Small Form Factor I/O

March 5, 2025

Discover how the QMC (VITA 93) mezzanine standard is revolutionizing rugged embedded computing with its compact design and powerful I/O solutions. Learn from this insightful session on how QMC enhances performance in harsh environments while integrating seamlessly with leading open standards like OpenVPX, SOSA, and VNX+.

https://elma-2.wistia.com/medias/o9q8v5kr7c

How MOSA enables GPU AI acceleration in Embedded Sensor Systems

October 30, 2024

Explore our on-demand webinar, “Implementing GPU-Powered Modular Open Systems Hardware for AI Acceleration in High-Demand Sensor-Based Applications.” In this engaging session, Elma Electronic partners with industry leader Chris Fadeley, CTO of EIZO Rugged Solutions, to discuss the transformative impact of NVIDIA®-powered GPGPU modular systems on AI acceleration for sensor-based applications.