# RoadLens

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Piotr Godlewski](https://cerebralvalley.ai/u/pgodlews)
- **GitHub:** https://github.com/pgodlews/RoadLens
- **Demo video:** https://youtu.be/pbrpS-YJFnw
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3146

RoadLens turns bike-camera and Tesla dashcam footage into human-reviewed road-hazard evidence. Potholes on rural lanes are dangerous for cyclists, and councils act on reports with clear evidence and a location, but nobody scrubs through hours of ride video. RoadLens scopes a stretch of road on an offline map, samples a sharp frame about every metre using the camera's own speed, and runs Meta SAM 3.1 with a text prompt ("pothole") to segment and track candidates through the video. A Muse model triages each candidate from the raw frame and an unmasked close-up (hazard, repair, stain or uncertain), RoadLens estimates an approximate size from a camera model of the road, and a person confirms or rejects every candidate in RoadLens Studio. Only confirmed hazards are exported, as GeoJSON plus a draft report the rider sends themselves; nothing is submitted automatically. It also reads the GPS a Tesla writes into every dashcam frame, so car footage works too. Tested on one corridor near Leeds with a Garmin Varia bike camera and a Tesla; no accuracy figures are claimed, and the development log records what did not work. The Garmin telemetry reader is adapted from my earlier Ride Studio project; everything else was built 1-4 November.

## More from Meta Global AI Developer Hackathon

- [Athena on Muse](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3143)
- [DataPig](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3144)
- [Reuben Idan](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3145)
- [zeroedits](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3147)
- [R.AMBRISH](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3148)
- [Bronko](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3149)

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