AWC is embracing AI technology to take huge strides in the efficiency and effectiveness of our conservation work. Meet two of our latest and greatest conservation champion technologies: the Species Classifier Model V4 and Felixer 3.2.
Species detection and identification can be a significant challenge for our staff, with camera traps capturing millions of images, all of which need to be sorted. Trawling through this data takes a mammoth amount of time (and caffeine) and manually filtering out all the pictures triggered by leaves moving in the breeze is not a task for the faint-hearted.
Here’s where our machine learning technology comes in. Our Species Classifier model has been ‘trained’ to identify common species in a specific area, pulling its knowledge from a set of over a million images to identify species with over 95% accuracy. This training is time-intensive, but the results are very promising…
