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  1. Hackathon
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  3. Evidence Atlas
André Antonelliabout 2 hours agoContributorJudging locked: Event build

Evidence Atlas

Evidence Atlas puts GPS-less dashcam footage on the map using only what the camera saw. Cosmos Reason reads the signs, OpenStreetMap supplies the coordinates, and a route-continuity check rejects impossible matches. Every pin shows its evidence.

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Project description
Dashcam and fleet archives often have no GPS. VAST VSS finds clips by meaning, but its location filter only says "Toronto". Evidence Atlas answers where. - Cosmos Reason re-watched all 1,080 indexed Toronto clips and read 3,658 street signs and business names. - Names are matched in OpenStreetMap, never model-guessed coordinates. Two corner signs that meet give a verified intersection (~60 m), a unique venue gives a landmark (~150 m), and guide signs give an area. - Drives are continuous, so a route check rejects matches the car couldn't have reached. For example, an "Art Gallery of Ontario" banner read 5 s after the ROM, 1.6 km away, is rejected. 86 clips are placed, 18 are rejected, and 831 are left off the map rather than guessed. - Every pin opens an evidence chain: the video, what was read, the OpenStreetMap match, what agrees or conflicts, and where the index caption disagrees. For whom: six built-in use cases, each with its own report written from saved evidence only by Llama 3.3 70B on W&B Inference: ad and retail site scouting, insurance and fleet incident location, roadwork audits, curb and delivery management, cycling and pedestrian safety, and newsroom footage verification. Places, not people: nothing identifies faces or licence plates.
Project links
  • GitHub repository
  • Project website
Tools used
  • VDVAST Data
  • CCoreWeave
  • SSpaceX
  • NNVIDIA
  • W&Weights & Biases
Tools used
  • VDVAST Data
  • CCoreWeave
  • SSpaceX
  • NNVIDIA
  • W&Weights & Biases