Facial-recognition systems for humans are widely used by security services and law enforcement. Now there’s one for grizzly bears. The so-called BearID could enable researchers to track the animals across vast stretches of time and space. Identifying individual grizzlies has long been difficult because they tend to lack clearly distinguishable markings. This technology, born of a collaboration between ecologists and computer scientists, makes it possible to easily recognize bears caught by camera traps.
With an accuracy rate of 83.9 percent, the software runs deep-learning algorithms to detect and map each grizzly’s facial features so the bears can be identified. Indigenous communities in British Columbia are already putting the application to work, monitoring specific bears across territorial boundaries. The developers of BearID hope to adapt their software to track other species too, such as woodland caribou and polar bears. Doing so, they say, will help scientists gain insight into the lives of these animals and aid in their conservation.