Data Science
We perform statistical modeling and Machine/Deep Learning algorithms to analyze multi-source data (sensors, images, acoustics…) to automate processes and extract specific information.
Analysis of environmental data
Transform your ecological, agricultural and environmental data into concrete decisions through a rigorous data science approach. With multiple experiences as data scientists in research and in fields related to the environment, we master scientific constraints (data quality, uncertainties, reproducibility, interpretability) to produce robust analyses, useful for both understanding ecosystems and sustainable territorial management.
Services offered:
- Advanced statistical analyses
- Modeling
- Classification and clustering
- Anomaly detection
- Deep Learning for images, videos, geospatial data
- Acoustic species recognition
Project examples:
Automatic bat detection in videos
Through deep learning, we developed TrackBats, a tool capable of automatically counting bats from videos, transforming hours of manual work into instant analysis.
Analysis of migration trajectories
Processing millions of GPS points to identify migration corridors, rest areas and the impact of infrastructure on bird migration trajectories.