See everything.
Train on anything.
RAPTOR is a real-time AI detection, classification, and targeting system that runs on a $250 edge computer. Operators correct the AI in the field and retrain custom models—no cloud, no PhD, no datacenter.
Real-time AI-Powered Recognition, Analysis & Persistent Tracking for Observation on Robots
The only field-retrainable AI vision system at the edge
Enterprise competitors cost 10–100× more, lock you into proprietary hardware, and can't learn new threats in the field. RAPTOR can.
Train in the field
Operator corrects a misdetection. RAPTOR learns. Retrain custom models on-device without sending data anywhere. The AI gets smarter every mission.
$250 compute module
Runs on NVIDIA Jetson Orin Nano. Full GPU-accelerated inference at a fraction of enterprise pricing. Shield AI charges $100K+. Anduril charges millions.
Any platform
UGVs, FPV drones, fixed-wing UAVs, multirotor platforms, or fixed installations. One AI system, every form factor. MAVLink, PX4, and DJI compatible.
Zero cloud dependency
Everything runs on-device. Detection, tracking, retraining, targeting. Works in DDIL environments where connectivity is denied, degraded, or non-existent.
Real-time inference
YOLOv8 + BoT-SORT multi-object tracking at 15+ FPS with tracking, 30+ FPS with TensorRT. Low enough latency for FPV terminal guidance.
Human in the loop
Operators classify, correct, and designate targets through an intuitive web UI. RC override at any time. E-STOP always available. AI assists, humans decide.
One system. Every platform.
RAPTOR deploys across the full spectrum of unmanned and fixed systems.
🛡️ Unmanned Ground Vehicles
Autonomous threat detection and target following for ground robots. MAVLink integration steers toward designated targets. RC override at any time.
- ✓ Auto-steer toward designated targets
- ✓ ArduRover / ArduPilot compatible
- ✓ Manual/Guided mode switching via RC
🎮 FPV Drones
AI-powered terminal guidance for first-person-view platforms. Lock a target, and RAPTOR maintains tracking through jamming and signal loss—the capability Ukraine proved in combat.
- ✓ Visual target lock survives RF jamming
- ✓ 60g Jetson module fits 5" frames
- ✓ Lightweight headless mode for payload constraints
✈️ Fixed-Wing UAVs
Persistent ISR with automatic detection alerts. RAPTOR watches the feed so the operator doesn't have to stare at a screen for hours. Aerial-perspective models trained on VisDrone and DOTA datasets.
- ✓ Auto-alert on detection events
- ✓ Bandwidth-adaptive streaming
- ✓ Loiter pattern generation
🏗️ Fixed Installations
Perimeter security, checkpoint overwatch, and FOB protection. Multi-camera coverage on a single Jetson. 24/7 operation with thermal/IR for night.
- ✓ Multi-camera array management
- ✓ Day/night auto-switching models
- ✓ Alert escalation and alarm integration
What RAPTOR does
Detection & Tracking
- 01 Real-time YOLOv8 inference with TensorRT acceleration
- 02 BoT-SORT multi-object tracking with persistent IDs (300-frame memory)
- 03 Dual-model detection: primary + COCO classes simultaneously
- 04 Auto-detect armed persons via weapon-person proximity
- 05 Adjustable confidence threshold (live slider)
Classification & Labeling
- 01 Tag detections: THREAT / FRIENDLY / NEUTRAL / UNKNOWN
- 02 Correct misclassifications in real-time from the UI
- 03 Labels persist across restarts
- 04 Identity reassignment when track IDs change
- 05 Audio alerts on new threat detection
Targeting & Engagement
- 01 Crosshair overlay on designated targets
- 02 Multi-target priority queue with auto-designation
- 03 Autonomous target following (UGV steering)
- 04 E-STOP: spacebar or button, instant disengage
- 05 RC override always available—operator stays in control
Field Retraining
- 01 Auto-save labeled data on every correction
- 02 One-click retrain from the web UI
- 03 Custom class list grows as operators add corrections
- 04 Import external datasets (VisDrone, DOTA, xView)
- 05 Batch annotation review and quality control
How RAPTOR compares
| System | Cost | Edge Native | Field Retrainable | Platform Agnostic |
|---|---|---|---|---|
| RAPTOR | $250 compute | ✓ | ✓ | ✓ |
| Anduril Lattice | $millions | ✓ | ✗ | ✗ |
| Shield AI | $100K+/unit | ✓ | ✗ | ✗ |
| Skydio | $10K+/drone | ✓ | ✗ | ✗ |
| Palantir AIP | $5M+/yr | ✗ | ✗ | N/A |
Technical details
Compute
- NVIDIA Jetson Orin Nano / Orin NX
- 8GB–16GB unified memory
- JetPack 6 with CUDA + TensorRT
- 60g module weight
Performance
- 15+ FPS (detection + tracking)
- 30+ FPS with TensorRT
- <30ms inference latency
- 300-frame track persistence
Interface
- Web UI (any device on network)
- MJPEG annotated video stream
- MAVLink vehicle control
- systemd service (boot-ready)
What's coming
ATAK / CoT Integration
Push detections as Cursor on Target messages into the TAK ecosystem for full battlefield integration.
Gimbal Control
Slew-to-cue: automatically point camera at detected threats. SIYI, Gremsy, and MAVLink gimbal protocol support.
NanoTrack Terminal Guidance
Single-object tracker optimized for FPV terminal guidance. 60 FPS on Jetson. Operator locks target, AI maintains track through occlusion, scale change, and motion blur.
Thermal / IR Camera
FLIR Lepton, Seek Thermal, and FLIR Boson integration for 24/7 night operations.
Multi-Vehicle Mesh
Coordinate multiple RAPTOR units across a perimeter. Shared detection data, deconfliction, and distributed tracking.
GPS-Tagged Detections
Lat/lon/alt for every detection via MAVLink telemetry. Geofenced alert zones and geospatial overlay.
Ready to deploy intelligent vision?
Whether you're integrating AI onto a UGV, adding autonomy to FPV platforms, or building a perimeter security system—RAPTOR gives you field-retrainable AI at a price point that makes sense.