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Prism Ground ISR

Model: 110-0201-91
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In Production
Prism™ Ground ISR is a mission-ready software stack for ground-based intelligence, surveillance, and reconnaissance. It enables rapid detection, classification, and tracking of diverse targets, including specific military classes, by combining computational imaging with AI-driven perception for greater awareness and faster response.

Its computational imaging improves infrared (IR) visibility in degraded conditions, while AI models trained on Teledyne FLIR OEM’s real and synthetic data help deliver accurate detections with fewer false positives. Prism AIMMGen™ supports rapid expansion to new target classes as mission needs evolve. Built for rapid integration, Prism Ground ISR supports Boson®+ and Neutrino® cameras, including continuous zoom models, plus select third-party IR and electro-optical (EO) sensors for scalable deployment.

With AI-powered detection, image enhancement, and flexible sensor integration in one stack, Prism Ground ISR helps teams field capability faster, detect threats earlier, and maintain reliable tracks with less operator burden across border surveillance, force protection, and other ground-based security missions.
 

AI-POWERED DETECTION AND CLASSIFICATION

Extend detection range, improve track persistence, and reduce false alarms for earlier, more confident responses

  • Supports up to 15 object classes, including fine-grained foreign military vehicle classification
  • Trained on EO and IR data to improve target recognition in cluttered environments
  • Enables customer-specific models with Prism AIMMGenTM using synthetic data to adapt to new missions
 

IMAGE ENHANCEMENT FOR HIGH‑FIDELITY TRACKING 

Maintains stable multi-object tracks with low fragmentation for small, fast, and maneuvering targets.

  • Turbulence mitigation, dehazing, and super resolution enhance visibility in tough conditions
  • Separate acquisition and tracking pipelines for earlier detection and more responsive tracking
  • Tune tracking logic to mission needs for greater operational flexibility
 

BUILT FOR STREAMLINED INTEGRATION

Lower integration risk with global-production scale and trusted technology, tools, and support

  • SDK includes C++ sample application and access via MQTT and REST API 
  • Accepts 14-bit data from Boson+, Neutrino, and third-party IR cameras 
  • Compatible with EO sensors, enabling multi‑sensor solutions
  • Experienced technical services team to support integration

Specifications

Hardware

Part Number
110-0201-91

Performance Metric

Correlation Tracker
~25 Pixels on Target
Included Filters
Dehaze, Electronic Stabilization, and Turbulence Mitigation
Inference Time
~10 ms
Input Wavelength
EO, MWIR, and LWIR
Latency (Average Glass-To-Glass)
~90 to 150 ms @ 30Hz (to display output) depending on video pipeline configuration
Latency to Track Initiation from First Observation
≤100 ms, Configurable to 1 Frame Delay (lower accuracy)
Metadata Output
Bounding Box Area
Bound Box Location
Category ID
Object Class Label
Confidence
Time Stamp
Track ID
Frame Number
Moving Target Indication
≥4 x 4 Pixels on Target (minimum)
Object Classes - Infrared and EO
bmp-2,bmp-3, btr-80, T-72m2, chevrolet_s10_2003, toyota_rav4_2013, ford_bronco_1989, and jeep patriot with additional classes in Release 2
Object Classification >60% Confidence
≥6 x 6 Pixels on Target (minimum)
Simultaneous Targets Tracked
Maxuimum is System Dependent, Default is 16, Configurable
Target Detection Confidence Threshold
≥60% for Small Targets (<32 x 32 pixels), Configurable

System Requirement

Deliverables
User Graphical Interface (GUI)
Software Development Kit (SDK)
Technical Documentation
EO Camera
4 MP with UVC Input Typical
(larger format will affect frame rate)
Hardware
NVIDIA ORIN NX/AGX
IR Cameras
Boson+ with UVC
Neutrino LC with USB
Neutrino SX8 with USB
Power
<12 W (average) <15 W (maximum)
Video Output
WebRTP, RTSP, and HDMI

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

Application Note

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

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Webinar

How to Optimize MWIR Performance and Computational Imaging to Simplify Integration

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Whitepaper

How to Use Automated Synthetic Data Generation in AI Model Development for Object Detection

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

Prism Ground ISR - Datasheet

Datasheet

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