Teledyne FLIR OEM Announces Upgraded Prism SKR Software, Boosting Automatic Target Recognition Capabilities for the Defense Industry
Software update unifies mission execution and intelligent supervision in a single, closed-loop autonomy platform for guided weapon systems
GOLETA, Calif.–(BUSINESS WIRE)–Teledyne FLIR OEM, part of Teledyne Technologies Incorporated (NYSE:TDY), today announced an upgrade to Prism™ SKR (pronounced “seeker”), evolving the software from automated targeting into a unified, closed-loop autonomy platform. The milestone update sets a new defense industry standard by unifying mission execution and intelligent supervision into a single platform for guided weapon systems, including smart, loitering munitions, air-launched effects (ALE), counter-UAS platforms, attritables, interceptors, and first-person view (FPV) drones.
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Prism SKR Perception Based Automatic Target Recognition (ATR) and Supervised Autonomy Software
Teledyne FLIR OEM’s upgraded Prism SKR software manages the entire mission lifecycle, from tasking through execution by delivering perception-based automatic target recognition (ATR) and autonomy with advanced features designed for precision in contested environments. Prism SKR’s pixel-lock targeting also addresses the critical final meters of FPV drone missions, ensuring precision autonomy in the terminal phase where manual control often fails due to signal interference.
“The upgraded Prism SKR represents a significant leap forward by unifying execution and intelligent supervision to provide operators with greater mission confidence,” said Jared Faraudo, Vice President of Product Management, Teledyne FLIR OEM. “By integrating advanced mission scripting with support for AI-accelerated development and execution compatible with large language model (LLM) tools like GitHub Copilot, we are enabling developers to plan and task systems at the speed of intent, while the QgroundControl plugin ensures these capabilities fit naturally into existing operator workflows.”
Key enhancements include 3D interactive aimpoint selection, terrain-aware operations, and pixel-lock targeting, which ensures precise, persistent re‑identification (ReID) tracking through signal degradation or loss, scaling from assisted AI during FPV handoff to fully autonomous mission execution. These capabilities support a wide range of mission scenarios, including air-to-ground, ground-to-air, air-to-air, and ground-to-ground operations.
Built for rapid OEM deployment, Prism SKR operates at the edge on low‑power embedded platforms, including NVIDIA® Orin™ and Teledyne FLIR OEM’s AVP system‑on‑module (SOM) based on the Qualcomm Dragonwing™ QCS8550. The Weapon Open Systems Architecture (WOSA) compliant software integrates seamlessly with Boson® and Neutrino® IR cameras, as well as integrator‑selected visible sensors, delivering real‑time target tracking and system state. A comprehensive application programming interface (API) and software development kit (SDK) accelerate deployment speed and reduce development risk while enabling performance optimization and customization.
For more information about Prism SKR and the Prism family of embedded software, please visit https://oem.flir.com/solutions/prism-family.
About Teledyne FLIR OEM
Teledyne FLIR OEM, a Teledyne Technologies company, is the world’s largest volume manufacturer of ITAR-free and NDAA-compliant infrared (IR) sensor and camera modules. As a vertically integrated supplier, Teledyne FLIR OEM delivers thousands of thermal imaging modules and related software tools daily for defense, automotive, uncrewed, professional, and artificial intelligence applications designed to improve decision support and situational awareness. Teledyne FLIR OEM enables life-changing thermal sensing so the world can do and see more. For more information, please visit oem.flir.com or follow @flir.
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Teledyne FLIR OEM PR Contact:
Keith Metz-Porozni
KGMP Strategies
[email protected]
(971) 506-7769
KEYWORDS: California United States North America
INDUSTRY KEYWORDS: Defense Technology Photography Military Software Artificial Intelligence
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