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Snow Leopard Identification
Computer vision system for identifying individual snow leopards using feature matching and machine learning, supporting conservation efforts in Central Asia.
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Interact with our latest ML models applied to conservation problems.
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Seal Identification
Non-invasive seal re-identification using computer vision to track individual animals across seasons through unique whisker patterns and facial features.
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Trout Identification
A computer vision system analyzes the spot patterns of trout to identify individual fish. This innovative, non-invasive approach aims to monitor trout populations in British Columbia over time, ultimately supporting and enhancing conservation efforts in the region.
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Wild Salmon Migration Monitoring
A computer vision system specifically designed to process underwater camera streams for the automatic classification and counting of wild salmon as they migrate back to their natal streams. Utilizing a robust machine learning pipeline, the system efficiently analyzes video footage, facilitating the enforcement of conservation regulations and supporting sustainable wildlife management.
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Forest Elephant Rumbles Detection
An audio analysis system designed to process recordings from African forests, specifically focusing on detecting elephant rumbles. The machine learning pipeline efficiently analyzes audio files to identify and classify these distinct vocalizations, contributing to wildlife monitoring and conservation efforts.
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Early Forest Fire Detection
A real-time computer vision system that analyzes camera data to monitor and detect forest fires. By leveraging advanced image processing techniques, the system aims to provide timely alerts and insights, enhancing fire management and response efforts.
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Bear Detector for Human Wildlife conflicts
A computer vision system detects and deters bears from encroaching on Romanian farms, contributing to the harmonious coexistence of farmers and wildlife, including predators like bears.
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Bear Identification
A computer vision system utilizes facial recognition technology to analyze bear photographs and identify individual bears. This innovative system aims to monitor the population size of bears in British Columbia over time, ultimately supporting and enhancing conservation efforts in the region.
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Coral Reef Health Monitoring
A computer vision system analyzes benthic imagery data to detect and identify various coral species. Utilizing advanced image processing techniques, the system is designed to monitor the health of coral reefs over time, thereby supporting and enhancing conservation efforts.