Temporal Smoke Verification
Watching camera sequences over time to tell genuine wildfire smoke from look-alikes.
Try our conservation ML models live — explore interactive demos for identifying wildlife, detecting wildfires, and monitoring ecosystems.
Every demo here is free and open source. If these tools support your conservation work, or you'd like to build something together, we'd love to hear from you.
Watching camera sequences over time to tell genuine wildfire smoke from look-alikes.
Detecting, tracking and counting juvenile salmon in ARIS sonar as they migrate downstream.
Identifying individual snow leopards by their coat patterns to support conservation across Central Asia.
Re-identifying individual seals by their whisker and face patterns — non-invasive, across seasons.
Reading the spot patterns on trout to identify individual fish — a non-invasive way to monitor populations.
Classifying and counting wild salmon from underwater camera streams as they migrate back to spawn.
Listening to African forests to detect and classify elephant rumbles from audio recordings.
Real-time camera analysis that spots wildfires early and raises the alarm fast.
Detecting and deterring bears near Romanian farms so people and predators can coexist.
Facial recognition that tells individual bears apart from photos — tracking British Columbia's black bear population over time.
Detecting and identifying coral species in benthic imagery to track reef health over time.
Every demo here is free and open source. If these tools support your conservation work, or you'd like to build something together, we'd love to hear from you.