The development of LINC has been made possible thanks to the generous support of many individuals and foundations who helped us to raise $60,000 for the first phase. We would like to thank you for enabling our endeavors to revolutionize broad scale lion conservation.
Please continue to support us as LINC development enters into Phase 2. We are currently accepting donations via our team member, Lion Guardians, when entering your donation please mention LINC in the comments field. You can donate via credit card, paypal or cheque.
IEF R&D (Innate Engineering Fabrication) is a Design, Engineering and Fabrication company focused on developing innate open solutions to social & technological challenges. IEF has developed projects on four continents and has partnered with universities, research institutions, NGO’s, non profits and artists to develop locally sustained social/technological solutions that support and are supported by their users.
Lion Guardians is a conservation organization that promotes the coexistence of people and lions across Kenya and Tanzania. We have more than 80 East African team members protecting lions over 5,500 square kilometers (more than one million acres) of critical lion habitat. We believe the fate of the lion lies in the hands of the people who live with them. By empowering warriors who were once lion killers and working closely with communities, Lion Guardians proactively minimizes conflict and enables coexistence.
LINC’s development is spearheaded by Lion Guardians and IEF R&D. It is a collaborative effort with lion researchers across East Africa and software developers on three continents, also a special thank you to Aaron Williamson of Tor Ekeland P.C. for advising the LINC project on open source licensing issues.
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.