Early Forest Fire Detection
Democratize open and low-tech solutions for fighting wildfires, for the benefit of the ecosystems and the citizens.
Democratize open and low-tech solutions for fighting wildfires, for the benefit of the ecosystems and the citizens.
The project monitors wild salmon migration to ensure the number passing through meets state regulations, addressing threats from human activities like fisheries and dams.
How we trained a U-Net to map land cover on the Wadden Sea coast from drone photos, from ecologists' labels at any level of detail to a seamless map of every survey.
Drone-based monitoring of coastal erosion, sedimentation and land cover change on the Wadden Sea coast, served through an interactive web portal.
An intuition-first, visual guide to metric learning and how machines learn to tell individual animals apart for conservation re-identification.
How a literature survey, self-contained experiments, and a shared leaderboard turned 28 research papers into a production smoke verifier with 4x fewer false alarms.
How the temporal smoke verifier works, step by step. Detection boxes become tubes, stabilized crops make motion legible, and a vision transformer plus a tiny temporal head learn that smoke grows and drifts.
An innovative use of sonar imagery to monitor and analyze the migration patterns of smolt salmon as they journey from freshwater to the ocean
Automated seal population monitoring system using AI to count, classify, and identify individual seals from aerial imagery in the Wadden Sea.
A free, open-source desktop application for visualizing camera trap data to support conservation efforts.
Non-invasive snow leopard monitoring using computer vision analysis of camera trap photos to identify individual animals.
A comprehensive examination of using local feature matching for individual identification.
An in-depth look at the common preprocessing stages required to perform identification using computer vision.
Non-invasive technology for monitoring trout populations using computer vision to accurately identify individual fish.
An in-depth look at the systems developed and deployed to track the journey of wild salmon as they return to their natal streams.
Detecting early forest fires in real time using low powered technology
Utilize drones for precise monitoring of breeding seabird colonies by detection of live and dead adults and chicks to determine survival and reproduction and asses the impact of avian influenza.
Detecting bears in real time using low-power technology.
Learn how to successfully train a computer vision model to accurately analyse underwater benthic imagery.
Detecting bears in real time using low-power technology.
Noninvasive technologies to identify and monitor bears, facilitating their conservation.
Utilizing low-power technology to detect and deter bears from encroaching on Romanian farms.
Segmentation of coral reefs in benthic imagery to quantify the long-term growth or decline of coral cover within marine protected areas.
