Artificial Intelligence for Biodiversity Monitoring

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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.

Analytic tool

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.

Augmenting tool

Once the shape has been described and analysed, the surroundings and context can be augmented, for archival, labelling, sharing with others for further study.

Learning tool

We integrate latest ideas and algorithms from the Machine Learning field, applied to problems of monitoring the biodiversity in a particular setting.

LATEST NEWS

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June 10, 2020

Cos4Cloud - EU project launched

Since November 2019, we are an active member of the C4C consortium working at the crossings of biodiversity monitoring and citizen science. Our team is focused on biodiversity monitoring using camera traps. ...

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