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Prism SKR Evaluation Kit

: 446-0055-00
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Key Specs

Pre-Trained AI Models
Supported Thermal Imagers
Hardware Support
5 class commercial model for initial Prism SKR evaluation
Compatible with Teledyne FLIR OEM Boson+
NVIDIA ORIN embedded hardware
In Production
Prism SKR delivers closed-loop, perception-driven automatic target recognition (ATR) and autonomy with advanced search, 3D aimpoint selection, and terrain-aware operation. The Prism SKR Evaluation Kit is a hardware and software solution that enables system developers to evaluate Prism SKR capabilities before platform integration and flight testing. The kit combines embedded Prism SKR software, an operational GUI, an NVIDIA Orin NX 16GB processor, GPS receiver, and autopilot with integrated IMU. Compatible with Boson+ thermal cameras, which are sold separately, the kit includes mounting hardware and enables operators to detect commercial vehicle classes, including SUV, pickup truck, and sedan, from stationary locations such as rooftops or towers. Using the included GUI, operators can identify and track targets, geolocate detections in real time, and display them on a map.

Resources & Support

News articles and white papers written by Teledyne FLIR OEM experts to help you integrate your Teledyne FLIR OEM products.

For technical questions, find answers by visiting our FAQ at: flir.custhelp.com

Whitepaper

Mission‑Autonomous Pixel Lock for FPV Drones

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Whitepaper

Thermal Infrared Sensor Design Considerations for Counter-UAS Defense

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Application Note

A Guide on Cost-Effective Thermal Lens Integration: What to Know for Defense and Autonomous Vehicle Applications

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Assets below are shared by all models in this product family.

Prism SKR Datasheet

Datasheet

Integrating Teledyne FLIR OEM thermal camera modules is easier than ever with our library of how-to videos and more!

Deploying AI Object Detection, Target Tracking, and Computational Imaging on Embedded Processors
Introducing FLIR AVP
Integrate AI Decision Support with Prism AI
Guide to Image Signal Processing with Prism ISP
How to Optimize MWIR Performance and Computational Imaging to Simplify Integration

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