The Amur Tiger Center announced that the project it initiated to identify tigers using artificial intelligence has been nominated for the World Information Society Summit Award in the E-Science category.
The Amur tiger recognition system was presented at the Eastern Economic Forum last year. It is based on artificial intelligence, which identifies rare predators by a unique pattern of stripes on the skin. The project was initiated by the Amur Tiger Center and is being implemented jointly with the BEAC and the Far Eastern Center for Artificial Intelligence of the FEFU.
The principle of recognizing the pattern of stripes on the skin of predators has been used to identify tigers for a long time. However, the digital tool allows you to increase the speed and quality of processing a large amount of data.
"Images from camera traps are loaded into a program that independently determines whether there is a tiger in the frame, and then, reading a unique drawing, identifies a specific individual. This is if the identified tiger is already in the database, but if the individual has not been identified before, then it is immediately issued a "passport". The system will help to keep records of the population, family ties, range and track the movement of individuals," the message says.
The World Information Society Summit has been held since 2012 under the auspices of the United Nations, UNESCO and the International Telecommunication Union. This year, applications were submitted from 1,050 participants, of which 360 were selected for the final selection. According to the results of the voting, 18 winning projects and 72 leading projects will be determined. The award ceremony is scheduled for May 28.
On the eve of Victory Day and for 10 days after it Moscow Domodedovo Airport invites veterans of the Great Patriotic War departing or arriving at the air harbor to the VIP lounge
According to the Phobos weather center, from April the southern wind will intensify, and a powerful advection of Black Sea air will begin in the continental regions of the country