If each animal could be photographed and uniquely identified many times each day, the science of ecology and population biology, together with the resource management, biodiversity, and conservation decisions that depend on this science, could be dramatically improved.

compbio.cs.uic.edu/IBEIS

IBEIS is a large autonomous computational system that starts from image collections and progresses all the way to answering ecological and conservation queries, such as population sizes, species distributions and interactions, and movement patterns. The images are taken by field scientists, tourists, and incidental photographers, and are gathered from camera traps and autonomous vehicles. IBEIS can detect various species of animals in those images and identify individual animals of most striped, spotted, wrinkled or notched species. It stores the information about who the animals are, where they are and when they are there in a database and provides query tools to that data for scientists and curious people to find out what those animals are doing and why they are doing it.

Wednesday, July 16, 2014

IBEIS Server at Ol Pajeta

Finally our server is here and ready to go online. Getting it to Ol Pajeta has been a journey. Assembled in Chicago few weeks ago thanks to a generous donation by Microsoft, it went through an excruciatingly painful import process to Kenya. DHL delivered our cargo only yesterday, so I had to be left back in Nairobi from my team to pick up the server and drive it to Ol Pajeta.

However, now everybody is excited about it... arguably the most powerful machine in East Africa with its 40 Xeon cores, 128 GB of RAM and 24 TB of disk storage. Surely more than enough to cope with the huge number of animal images we expect to collect and process daily as a part of the IBEIS project.
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