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 projectAToMS (Airborne Taxonomic Mapping System) |
AToMS is an airborne high-resolution imaging instrumentation of Global Airborne Observatory, a facility of the Carnegie Institution for Science. |
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R&D projectAutomated Multisensor Stations for Monitoring of Biodiversity (AMMOD) |
The AMMOD project aims to bring together and adapt novel technologies in order to automatically register biodiversity, analogous to weather stations. |
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R&D projectBatEchoMon |
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R&D projectBearID Project |
By combining ecological research, citizen science and cutting edge AI, The BearID Project aims to develop non-invasive technologies to identify and monitor individual brown bears, in an effort to conserve them. |
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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 projectCanid Howl Project |
The Canid Howl Project are a research group dedicated to understanding more about the vocalisations of the Canidae family, specifically wolves, coyotes and dogs. |
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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 projectCollarID |
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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 projectCrocodilian Monitoring Project |
We are developing and employing multisensor trackers to monitor the movements and behaviors of crocodiles in the wild & generating an acceleration ethogram based on motion data of alligators to develop techniques for the onboard processing of behavior and activity summaries. |
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
AToMS is an airborne high-resolution imaging instrumentation of Global Airborne Observatory, a facility of the Carnegie Institution for Science.
The AMMOD project aims to bring together and adapt novel technologies in order to automatically register biodiversity, analogous to weather stations.
R&D
R&D
By combining ecological research, citizen science and cutting edge AI, The BearID Project aims to develop non-invasive technologies to identify and monitor individual brown bears, in an effort to conserve them.
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.
The Canid Howl Project are a research group dedicated to understanding more about the vocalisations of the Canidae family, specifically wolves, coyotes and dogs.
Cetalingua project is a participatory platform that allows deep learning analysis by combining citizen science and Artificial Intelligence to decode marine mammal communication.
R&D
A research project in which machine learning alogithms were trained to identify elephants in very high resolution satellite imagery.
We are developing and employing multisensor trackers to monitor the movements and behaviors of crocodiles in the wild & generating an acceleration ethogram based on motion data of alligators to develop techniques for the onboard processing of behavior and activity summaries.