With just a photograph and an internet connection, LINC allows lion researchers to be able to share data across landscapes and borders, enabling them to more accurately monitor and track lion populations and connectivity. This greater understanding of broad scale lion populations allows more effective conservation across what remains of African lion rangelands.
LINC uses a custom web interface that allows conservationists to search, organize, access and share lion data stored in a central database.
At the heart of LINC is a computer aided search feature that utilizes the facial features, whisker patterns and markings of individual lions. The computer vision system currently detects lion faces and areas of interest based on a HAAR classifier. These are then processed using a Convolutional Neural Network that develops classifiers for each individual lion.
The facial recognition software currently uses a combination of OpenCV and the Caffe deep learning framework to develop the classifiers it is currently running on a CUDA based NVIDA GPU.