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Tiny AI Edge Model Suite
YOLOv8n + MobileNetV3-Small with INT8 quantisation and hardware-aware NAS for Mission-specific detection.
- BaselinesYOLOv8n / MobileNetV3
- QuantisationINT8 PTQ
- Size KPI<20 MB
- Accuracy KPI>85% mAP
Catalog · solution
Solutions
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Decision Fusion & BFT Mesh
Gossip decision vectors with Byzantine-tolerant quorum for contested and lossy links.
- Vector rate≤512 B/s
- BFT (N=20)f ≤ 6
- Packet loss≥40%
- Node failure≥30%
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Self-Defence Cognition Pack
On-device hostile UAV recognition with non-lethal cooperative counteractions.
- VisionTiny-YOLO
- RFAnomaly detection
- Latency<200 ms
- Accuracy (concept)>90%
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RF Signal Intelligence Lab Kit
SDR-centric stack for drone control-link, telemetry, and FPV signal classification research.
- Edge AIJetson AGX Orin
- Primary SDRUSRP X410
- Band focus2.4 / 5.8 GHz
- InferenceTensorRT