Trout Identification
Non-invasive technology for monitoring trout populations using computer vision to accurately identify individual fish.
Developing Open Source technology to address conservation and environmental challenges for wildlife and the planet.
Non-invasive technology for monitoring trout populations using computer vision to accurately identify individual fish.
The project monitors wild salmon migration to ensure the number passing through meets state regulations, addressing threats from human activities like fisheries and dams.
Conservation efforts struggle to monitor forest elephants in dense rainforests, with acoustic monitoring providing a promising solution via accurate, user-friendly detection systems that aid in population monitoring and anti-poaching efforts while mitigating human-elephant conflicts.
Democratize open and low-tech solutions for fighting wildfires, for the benefit of the ecosystems and the citizens.
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.
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.
Transforming bat population monitoring in Cambodia through advanced bio-acoustic analysis driven by Machine Learning algorithms.