R&D projectAI Species Specific Kill Trap |
A smart self-resetting kill-trap which uses AI technology, with real-time species identification to only trigger on your selected pest species. |
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R&D projectAkili |
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R&D projectBee Living Sensor |
By studying the patterns of honey bees using video cameras and an AI model, BeeLiving sensor are able to determine the biodiversity in that environment using a simple concept; the more different pollen colors are added, the greater the plant diversity in the area and the more balanced the food for the bee brood. |
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R&D projectCetalingua Project |
Cetalingua project is a participatory platform that allows deep learning analysis by combining citizen science and Artificial Intelligence to decode marine mammal communication. |
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R&D projectCounting Elephants from Space |
A research project in which machine learning alogithms were trained to identify elephants in very high resolution satellite imagery. |
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R&D projectNBM - A project to automate the tracking of nocturnal bird migration in Europe |
NBM project is about automating the tracking of birds migrating at night in Europe through the creation of a high quality dataset and the development of machine learning model. |
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R&D projectOpenCollar |
OpenCollar is a conservation collaboration to design, support and deploy open-source tracking collar hardware and software for environmental and wildlife monitoring projects. |
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R&D projectOrcasound live-listening web app |
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R&D projectSmart Camera |
Cost-effective, intelligent cameras for wildlife surveillance and detection which are low-cost, low-power and long-life. |
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R&D projectSmartWilds: Bridging Digital and Natural Worlds |
This R&D project serves as a testbed for distributed edge AI systems in conservation, using multimodal sensors and autonomous monitoring to enhance wildlife tracking, behavior analysis, and ecological research. |
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R&D projectVisipedia |
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Organisations & Products |
A smart self-resetting kill-trap which uses AI technology, with real-time species identification to only trigger on your selected pest species.
R&D
By studying the patterns of honey bees using video cameras and an AI model, BeeLiving sensor are able to determine the biodiversity in that environment using a simple concept; the more different pollen colors are added, the greater the plant diversity in the area and the more balanced the food for the bee brood.
Cetalingua project is a participatory platform that allows deep learning analysis by combining citizen science and Artificial Intelligence to decode marine mammal communication.
A research project in which machine learning alogithms were trained to identify elephants in very high resolution satellite imagery.
NBM project is about automating the tracking of birds migrating at night in Europe through the creation of a high quality dataset and the development of machine learning model.
R&D
OpenCollar is a conservation collaboration to design, support and deploy open-source tracking collar hardware and software for environmental and wildlife monitoring projects.
R&D
Cost-effective, intelligent cameras for wildlife surveillance and detection which are low-cost, low-power and long-life.
This R&D project serves as a testbed for distributed edge AI systems in conservation, using multimodal sensors and autonomous monitoring to enhance wildlife tracking, behavior analysis, and ecological research.