Teledyne FLIR Enhances Prism SKR Software for Improved Autonomous Target Recognition

Teledyne FLIR OEM Enhances Prism SKR Software for Defense Applications

Teledyne FLIR OEM has announced an upgrade to its Prism SKR , transitioning its functionality from automated targeting to a comprehensive autonomy platform tailored for defense applications. This update integrates mission execution and intelligent supervision into a single system designed for guided weapon platforms.

Teledyne FLIR Enhances Prism SKR Software for Improved Autonomous Target Recognition | ADrones | 1

The announcement made on April 7 positions Prism SKR as a closed-loop autonomy solution, supporting various systems including loitering munitions, air-launched effects, counter-UAS platforms, interceptors, and FPV drones.

Full Mission Autonomy Features

The upgraded Prism SKR manages the entire mission lifecycle, encompassing tasking, execution, and tracking through perception-based automatic target recognition (ATR). The system is designed to maintain accuracy in contested environments.

A notable feature is pixel-lock targeting, which is particularly beneficial during the final phase of FPV drone missions, where signal loss can hinder manual control. This capability ensures that the system maintains focus on the target during critical operations.

According to Jared Faraudo, vice president of product management at Teledyne FLIR OEM, the upgraded Prism SKR significantly enhances mission confidence by unifying execution and intelligent supervision. The integration of advanced mission scripting and support for AI-accelerated development allows developers to plan and task systems efficiently, while the QgroundControl plugin ensures compatibility with existing operator workflows.

New Tools for Enhanced Mission Flexibility

The software update introduces several new tools aimed at improving mission flexibility and reliability, including:

  • 3D interactive aimpoint selection
  • Terrain-aware operations

Additionally, the system enhances persistent re-identification tracking, enabling it to maintain awareness of a target even when signals degrade or are lost. This feature supports various operational scenarios, including air-to-ground, air-to-air, and ground-based engagements.

The platform offers from assisted AI control to full autonomy, allowing operators to switch between manual and autonomous modes as required.

Deployment and Integration Capabilities

Prism SKR is designed to operate on low-power embedded systems at the edge, supporting platforms such as NVIDIA Orin and Teledyne FLIR OEM’s AVP module based on Qualcomm technology. The software adheres to Weapon Open Systems Architecture (WOSA) standards and integrates with infrared cameras like Boson and Neutrino, as well as visible sensors chosen by integrators, facilitating real-time tracking and system awareness.

A comprehensive API and software development kit are available to support customization, helping to mitigate development risks and accelerate deployment timelines for OEM partners.

Context: The Growing Need for Autonomous Targeting Systems

This software update reflects a broader trend in defense and uncrewed systems, where operators are increasingly seeking greater autonomy to enhance performance in contested environments. Factors such as signal disruption, electronic warfare, and complex terrain heighten the demand for onboard decision-making capabilities.

Platforms that integrate sensing, tracking, and execution into a single system may alleviate operator workload and improve mission reliability, especially in scenarios with limited links. As defense programs continue to explore scalable and modular systems, software platforms like Prism SKR are expected to play a significant role in advancing autonomy across various vehicle types.

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