Rugged AI platform enhances inference computing

November 01, 2021 // By Jean-Pierre Joosting
Rugged AI platform enhances inference computing
Ideal for complex, data-driven embedded systems, the AI platform delivers high-performance NVIDIA® GPU processing in low power, compact form factor.

The latest Jetsys-5320 from Elma Electronic meets the growing data processing needs of extremely rugged and mobile embedded computing applications by easily handling data-intensive computation tasks. It provides complex GPGPU inference computing at the edge for deep learning (DL) and machine learning (ML) operations in artificial intelligence (AI) applications.

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 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.”


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