Artificial Intelligence

Rugged AI platform from Elma enhances inference computing

1st November 2021
Kiera Sowery
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The Jetsys-5320 from Elma Electronic meets the growing data processing needs of rugged and mobile embedded computing applications by handling data-intensive computation tasks.

It provides complex GPGPU inference computing at the edge for deep learning and machine learning operations in AI applications.

Used for high performance intelligent video analytics, VR, 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 ruggedisation in a compact, low-power platform, claim the company.

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, 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, 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.

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