Best foot forward...!
The technology developed extracted morphometric data (like size and shape) from the digital images of footprints and used state-of-the-art Machine Learning to classify the information. It was hoped that FIT technology could help to establish population size and range in different areas, so experts can make sure that the right conservation actions are taking place for each species in each habitat.
Initial results were incredibly promising, and the research paper on the technology has now been published online.
The footprint images analysed with the AI system resulted in a 99% classification accuracy for three species, and conservation teams in Malaysia are now being trained and planning to use the monitoring tool that we have helped to develop for a Malaysia-wide wild otter survey!
...but it's not over yet!
We will be continuing to work with WildTrack to supply more photo evidence to increase the database and help with these important advancements in species monitoring technology.
Our thanks to the Wildtrack team for including us in this study, and a huge WELL DONE to the research and animal team at Woburn for their effort!