Rugged AI Platform from Elma Enhances Inference Computing in Complex, Data-driven Embedded Systems

Used for high performance intelligent video analytics (IVA), virtual reality (VR), augmented reality (AR) and AI at the edge, as well as in unmanned or autonomous vehicles and robots, the new system combines the power of NVIDIA-based computation with unmatched ruggedization in a compact, low-power platform.
 
The new Jetsys-5320 increases visual intelligence throughout transportation and defense applications including high-resolution sensor systems, movement tracking security systems, automatic target recognition, threat location detection and prediction as well as machine condition-based monitoring and predictive maintenance, semi-autonomous driving and driver advisory systems.  

Ram Rajan, vice president of engineering at Elma Electronic Inc., noted, “AI-based computing is enabling multiple levels of intelligence and safety advancements throughout the embedded computing industry. We’re seeing a huge increase in object detection and tracking, video surveillance, target recognition and condition-based monitoring, so we built an AI platform that could handle the processing requirements for these kinds of applications used in challenging environments.”

At the heart of the JetSys-5320 is the NVIDIA Jetson TX2i System-on-Module (SoM), enabling real-time AI inferencing and DL/ML capabilities. Paired with a dual-core Denver 2 64-bit CPU and quad-core ARM A57 Complex and 256 CUDA cores, NVIDIA’s Pascal™ architecture delivers 1.3 TFLOP of performance. 

The rugged system also provides HD-SDI, Gigabit Ethernet with Power-over-Ethernet, USB 3.0 interfaces for video capture and miniPCIe expansion slots. The JetSys-5320 operates in temperatures from -40°C to 71°C, offers IP67 rated ingress protection and meets MIL-STD-810G for harsh environments.

Elma’s other SFF modular embedded computing systems include the ComSys family for communication-based computing and NetSys series for networking applications.