DeepWILD
Counting and watching of species in Mercantour National Park
Research Axis
Core Elements of AI
Project
Researchers, students and engineers have contributed to develop an AI algorithm capable of locating, identifying and quantifying the species present on footages.
Objectives
The Mercantour national Park wishes to monitor and identify common and rare species present on its territory from videos extracted from camera traps located on the Roya and Vésubie valleys.
Methodology
An algorithm composed of convolutional neural networks (Faster-RCNN and InceptionResNetv2) has been implemented thus gaining in efficiency to count and estimate the fauna present.
Contributors
Fanny SIMOES, Charles BOUVEYRON, Fréderic PRECIOSO, Nathalie SIEFERT, Stéphane COMBEAUD, Vincent PRUNET
Click here the link for the paper,
