Wilder Sensing

We are developing a cloud based solution to quantify changes to biodiversity at a local or landscape level. Using audio and video sensors we use Machine Learning to identify which species of bird, bat, mammal (and some insects). Over time the data shows changes to both species present/absent/lost and net changes.

Case study: Quantifying changes to biodiversity using audio and AI at site or landscape level using Wilder Sensing to improve TNFD data collection and disclosure

This case study has been prepared by the tool provider as an illustrative example of the tools application to the TNFD recommendations and guidance. The TNFD had not endorsed this case study.

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