Foresight House AI

Wildlife Road Alert turns the dashcams already on the road into an early-warning network for wildlife collisions. In Manitoba alone there are 47 wildlife collisions a day, and at highway speed a driver who sees a deer in the headlights has about one second to react: too late to stop. The system watches dashcam video with SAM 3.1, finding both the animal and the road in every frame from a single word, with no training. Our rules turn the animal's size and growth into distance and seconds to impact, and raise a green, amber or red warning, including a "more may follow" hold for herds. Muse Spark double-checks the species. Every detection becomes a shared sighting on a map, so the car that sees the deer gains seconds and the vehicles behind it gain minutes: in our demo, a truck 4 km back is warned 2.6 minutes before it arrives. Drivers can also report animals by voice (Muse Voice Transcribe), Muse Wonder writes a nightly briefing for road operators, and operator-approved sightings are formatted as a Waze feed so drivers without a camera are warned too. We measured it: on 282 road photos labelled by people, SAM 3.1 found 487 of 508 deer (96%) with zero training, including 31 of 32 far-away deer and 21 of 22 at night. On a real night dashcam clip it spotted the deer about 44 m ahead and went red 0.6 s later. Today it runs on recorded footage. Next: real time, in the vehicle, starting with fleets that already drive these roads with cameras.