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  3. Spatial Video Agent
Leonabout 1 hour agoContributorJudging locked: Event build

Spatial Video Agent

Spatial Video Agent lets safety and incident investigators ask one plain question across every camera and get the exact moments back, with distances in meters where the camera geometry supports it

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Start with the source code, then open the demo or video if available.

Tools used
  • VAST Data logoVAST Data
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
  • NVIDIA logoNVIDIA
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Demo video
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Project description
Spatial Video Agent answers one plain-English question across every camera in the corpus: 3,537 clips from warehouses, a Toronto dashcam, and New York and San Francisco street corners. For each hit, it runs tracking and geometry at query time and returns an answer card grouped by evidence level. Where a camera has calibration or GPS, the card shows the person-to-vehicle distance in meters with an uncertainty. Where it has neither, the agent abstains and says “no geometry”. Video and detections live in VAST S3, and captions and Cosmos embeddings are read live from VastDB on every query. NVIDIA Cosmos 3 Reason and Cosmos-Embed1 run on CoreWeave GPUs. Our FastAPI app runs on the CoreWeave cluster. W&B Weave traces every agent step. Every number comes from CV and geometry, not from the model.
Project links
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • VAST Data logoVAST Data
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)
  • NVIDIA logoNVIDIA