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

November 12, 2021

Job Opening

We are pleased to a announce a UK-based job opportunity for developing deep learning applications for biodiversity monitoring (animal focused). Specifics: Train NN models (based on the MMdetection framework) using the Amazon web services resources to detect animals from camera traps ...

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