Project Skybird
Built on Kundi · Deployed in Government
Person detection, tracking, and trajectory analysis for video. Project Skybird identifies a target across frames, recovers from occlusions when subjects pass behind obstacles, identifies what caused each occlusion, and emits structured trajectory data for downstream analysis — designed to run inside government and security environments. The deploying agency owns the models, their weights, and any improvement derived from its data.
Persistent identity across frames, even through occlusion.
Skybird's ensemble combines a state-of-the-art person tracker, an open-vocabulary scene detector, and an occlusion-aware track-merge layer — producing browser-ready annotated video plus per-frame structured output.
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Person Tracking With ReID
YOLO11 + BoT-SORT with native re-identification for consistent tracking of a target person across frames, including across short disappearances.
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Multi-Person Annotation
All detected persons get labeled bounding boxes with unique IDs in the output video — not just the target.
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Occlusion Recovery
Merges broken track fragments when a person passes behind an obstacle (tree, pole, vehicle, structure), preserving identity continuity through gaps.
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Obstacle Identification
YOLO-World open-vocabulary detection identifies what caused each occlusion ("tree trunk", "parked vehicle", "wall"), enabling explainable track recoveries.
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Open-Vocabulary Scene Detection
Periodic rescans catch scene objects entering the frame: vehicles, structures, street furniture, foreground items, traffic infrastructure.
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Proximity Alerts
Configurable spatial alerts — e.g., the screen flashes when the target enters a defined proximity to a detected scene object.
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Trajectory Output (JSON)
Per-frame bounding boxes, centers, timestamps, and confidence scores emitted as structured JSON for downstream analytics, dashboards, or replay.
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Browser-Ready Video
H.264 + faststart encoding for direct browser playback of annotated output without external transcode steps.
Quantum-Resilient, aligned to the federal clock.
Skybird runs on Kundi inside government and security environments, with post-quantum cryptography as standard. Trajectory data, annotated video, and identity products are long-lived intelligence — protected against harvest-now, decrypt-later collection and aligned with the federal PQC mandates your mission already tracks.
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Aligned With Federal PQC Deadlines
The June 2026 executive orders require post-quantum key establishment by 2030 and post-quantum signatures by 2031 for high-impact systems. Skybird is built to that benchmark now — no migration project between you and the deadline.
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Protects Long-Lived Collection
Trajectory JSON and video evidence keep their sensitivity for years. Post-quantum cryptography protects them today against adversaries harvesting encrypted traffic to decrypt later.
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Runs Where You Operate
Post-quantum protection travels with the deployment — on-premises or air-gapped, inside the government infrastructure Skybird already runs in. Crypto-agile, so algorithms rotate as NIST standards advance.
See it inside your environment.
Skybird walkthroughs are available under NDA. Schedule a deployment assessment to see the live tracker, occlusion-recovery output, and structured trajectory data running against representative video sources.