Prism® C‑UAS is a software application stack that extends detection and tracking range for small drones, maximizing time to respond to emerging threats. By combining advanced image processing with AI‑driven perception, the multimodal software enables earlier detection, more persistent tracks, and fewer false alarms in complex environments.
Prism C‑UAS enables reliable sub-2 × 2‑pixel small‑drone detection and tracking, leveraging patented denoise, local contrast enhancement, and upsampling algorithms to enhance target signal‑to‑noise ratio (SNR) and deliver industry-leading moving target indicator (MTI) detection range. Detections are processed through an AI object detector and multi‑object tracker to reduce false positives and reliably cue counter‑UAS measures. Detection and tracking performance are optimized for small, fast, and maneuvering targets and evaluated using industry‑standard metrics including F1, mAP/mAR, and modern multi‑object tracking metrics such as HOTA and MOTA, with performance dependent on target size, range, and scenario.
Designed for rapid integration and configurability, Prism C‑UAS natively supports the Boson®+ and Neutrino® camera families, including continuous zoom configurations, while also supporting select third‑party IR and electro-optical (EO) cameras. Prism C UAS lowers integration risk through Teledyne FLIR OEM’s proven technology, robust developer tools, and expert technical support, enabling scalable deployment across global counter‑UAS architectures.
Prism C‑UAS enables reliable sub-2 × 2‑pixel small‑drone detection and tracking, leveraging patented denoise, local contrast enhancement, and upsampling algorithms to enhance target signal‑to‑noise ratio (SNR) and deliver industry-leading moving target indicator (MTI) detection range. Detections are processed through an AI object detector and multi‑object tracker to reduce false positives and reliably cue counter‑UAS measures. Detection and tracking performance are optimized for small, fast, and maneuvering targets and evaluated using industry‑standard metrics including F1, mAP/mAR, and modern multi‑object tracking metrics such as HOTA and MOTA, with performance dependent on target size, range, and scenario.
Designed for rapid integration and configurability, Prism C‑UAS natively supports the Boson®+ and Neutrino® camera families, including continuous zoom configurations, while also supporting select third‑party IR and electro-optical (EO) cameras. Prism C UAS lowers integration risk through Teledyne FLIR OEM’s proven technology, robust developer tools, and expert technical support, enabling scalable deployment across global counter‑UAS architectures.
MAXIMIZE TIME TO RESPOND TO DRONE THREATS
Extend detection range, improve track persistence, and reduce false alarms for earlier, more confident responses
- Industry leading MTI detection range
- Sub-2 × 2‑pixel small‑drone detection and tracking
- Patented image processing improves SNR on small targets
- High‑confidence multispectral‑trained AI detector/classifier
PURPOSE‑BUILT AI AND HIGH‑FIDELITY TRACKING
Optimized performance for small, fast, and maneuvering targets
- Separate acquisition and tracking pipelines enable earlier detection
- Multi-object tracking maintains stable tracks with low fragmentation
- Tune customizable tracking logic to mission needs
BUILT FOR STREAMLINED INTEGRATION
Lower integration risk with global-production scale and trusted technology, tools, and support
- Sample C++ reference application, libraries, and documentation
- 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
- 110-0201-90
Performance Metric
- Correlation Tracker
- ~25 Pixels on Target
- Inference Time
- ~10 ms
- Input Wavelength
- EO, MWIR, and LWIR
- Latency to Track Initiation from First Observation
- ≤100 ms, Configurable to 1 Frame Delay or 15 ms
- Metadata Output
- • Bounding Box Area
• Bound Box Location
• Category ID
• Object Class Label
• Confidence
• Time Stamp
• Track ID
• Frame Number
- Moving Target Indication
- <2 x 2 Pixels on Target
- Object Classification >60% Confidence
- ≥6 × 6 Pixels on Target
- Object Classification Types
- Drone with Rotor, Fixed Wing, Birds, Person, and Vehicle
- Simultaneous Targets Tracked
- Maxuimum is System Dependent, Default is 16, Configurable
- Target Detection Confidence Threshold
- ≥60% for Small Targets (< 32 × 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
- Latency (Photons to Display Port)
- <150 ms
- Power
- <12 W (Average)
<15 W (Maximum)
- Video Output
- WebRTP, RTSP, and HDMI
Resources & Support
Assets below are shared by all models in this product family.
Prism C-UAS Datasheet
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* NOTE: Detection and tracking performance is evaluated using industry standard metrics including F1, mAP/mAR, and modern multi object tracking metrics (HOTA, MOTA), with results dependent on target size, range, and scenario.