AI-Enabled Rugged PC Chassis Unveiled

The integration of Untether AI's tsunAImi tsn200 inference accelerator card within J-Squared Technologies' rugged VANGUARDā„¢ 2U rackmount server sets the benchmark for high-reliability AI deployment at the tactical edge By Joseph Macey / 05 Apr 2024

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AI-Enabled Rugged PC Chassis Unveiled
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Untether AIĀ® and J-Squared Technologies introduced an AI-powered object detection solution at the recent AUSA Global Force Symposium and Exhibition in Huntsville, AL. 

This technology showcases the integration of Untether AI’s tsunAImiĀ® tsn200 inference accelerator card within J-Squared Technologies rugged Vanguard 2U rackmount server, showcasing counter-drone detection for both commercial applications and defense sectors.

This joint computer vision application showcases an Untether AI optimized ā€œYou-only-look-onceā€ (YOLO) neural network, trained by J-Squared Technologies for counter-drone detection, running in their ruggedized hardware.

This partnership delivers both companies’ commitment to deploying AI compute and operational efficiency in high-reliability applications.

“J-Squared Technologies is proud to partner with Untether AI to deliver a solution that meets the rigorous demands of both defense and commercial applications,” said Andrew Woollard, Chief Technical Officer at J-Squared Technologies. “Our SWAP-C optimized systems designed to withstand harsh environments combined with Untether AI’s energy efficient AI acceleration, provide unmatched operational durability, computational capabilities, and AI performance per Watt.”

“Our collaboration with J-Squared Technologies marks a significant milestone in the deployment of AI technologies in the field of defense and commercial airspace safety,” said Bob Beachler, Vice President of Product at Untether AI. “By combining our energy efficient AI acceleration technology with J-Squared Technologies, we’re not only enhancing counter-drone capabilities but also setting the benchmark for high-reliability AI deployment at the tactical edge.”

The AI-enabled demonstration detects, and tracks unmanned aerial threats through advanced machine learning algorithms, offering a robust detection against increasing drone-related security challenges. This application extends beyond military use, providing commercial airports and critical infrastructure with a state-of-the-art tool to ensure airspace security and public safety.

Posted by Joseph Macey Joseph Macey is a Content Specialist at Defense Advancement, where he has focused on emerging defense technologies since joining in 2022. His expertise spans tactical UAS, rugged computing, and Satellite Communication Systems. After graduating in Journalism from Falmouth University, Joseph began his career in 2019 as a local reporter. His journalism background enhances both his reporting and interview skills, enabling him to provide insightful, authoritative analysis of the latest trends shaping the defense industry. Connect
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