Frederic answers some of your questions in this FAQ session about the Cos4Cloud FASTCAT services FASTCAT-Cloud and FASTCAT-Edge . ...Read more
Artificial Intelligence for Biodiversity Monitoring
What we do
Solutions in shape & movement recognition & description
We develop novel techniques able to recognise different lifeforms, characterise their shape, movements, sequential gestures, to the level where they will describe and compute articulated movements in real time. The research outcomes would change the paradigm of monitoring biodiversity, by giving feedback on behaviours after analysing, in real time, the streaming videos.
Our solutions in computer vision and information retrieval algorithms provide an algorithmic chain capable of: analysing shapes in sequential video-frames; and extracting vision based features used to detect movements.
Once the shape has been described and analysed, the surroundings and context can be augmented, for archival, labelling, sharing with others for further study.
We integrate latest ideas and algorithms from the Machine Learning field, applied to problems of monitoring the biodiversity in a particular setting.