Amur tiger is the most northern, biggest and most endangered tiger species in the world. Yet its habitat and population monitoring lacks accuracy as it is performed manually. More than 24 million photos of tigers are made annually in tiger habitat in Russia and it takes from six to nine months for preservation specialists to process them. This leads to outdated information and various cases of late help (for example, for ill animal), uninformed animal attacks or late understanding of ecosystem changes.
Tiger identification system aims to provide more information on tiger species, its population, habitat and behavior, increase the speed and accuracy of the species monitoring, accelerate the response from preservation specialists and, so, help to preserve the tigers. And AI is the main enabler. Based on photos from photo traps located in the tiger habitat the AI-based system allows to detect a tiger and identify specific tiger based on its unique stripes pattern as well as to provide necessary analytics. As a result, preservation specialists can receive prompt information in a few days.
Currently, the system is already generating an impact preserving the species as it is being implemented with Amur Tiger Center.

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• International

• Indigenous and nomadic peoples
• Remote and rural communities

The tiger identification system replicability possibilities are twofold. Firstly, it is possible to adopt this solution in any region or country worldwide that requires a good tiger monitoring system. Secondly, the system can also be replicated to monitor other species that have easily identified features (for example, stipes, patterns, etc.). This makes this system a unique solution for maintaining biodiversity anywhere on the planet.

The tiger identification system sustainability is twofold. Firstly, it serves the planet as it aims to preserve one of the most endangered tiger species in the world. No animal is hurt nor no habitat is affected when using the system possibilities. Secondly, the system allows to digitize and increase the efficiency of the current processes of the species monitoring.

The tiger identification system covers three key pillars, namely environmental sustainability (as it helps to preserve the endangered species in the Russian Far East region), societal well-being (by providing prompt information on the predator’s movements) and infrastructure resilience (as prompt information on tiger’s habitat and movements can help to make necessary changes to road infrastructure and to create necessary “green” bridges).