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• Tiger, Tiger, in the Night... Now Visible in Real Time

Press Release for International Tiger Day – July 29th, 2022: For the first time ever, wild tigers and their prey have been detected by AI-powered, cryptic cameras that transmit the images to the cell phones and computers of park managers. Just as important, the elapsed time from the motion sensor triggered by the passing tiger, to running the AI, to transmission to the cell network, to the Internet, and to the end user is less than 30 seconds, making this technology a true real-time system.

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• CERES TAG

Ceres Tag sends just in time alerts and GPS location to have the power to track and trace.

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• Protecting endangered megafauna through AI analysis of drone images in a low connectivity setting: A case study from Namibia

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• Introducing WILDBEAR Awardee Alyssa Bohart

Get to know Alyssa Bohart, our first WILDBEAR Award recipient, who works with GPS-collared bears in Canada.

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• Identification of Wildlife in Camera Trap Images

<p>Camera trap wildlife surveys can generate vast amounts of imagery. A key problem in the wildlife ecology field is that vast amounts of time is spent reviewing this imagery to identify the species detected. Valuable resources are wasted, and the scale of studies is limited by this review process. The use of computer software capable of extracting false positives, automatically identifying animals detected and sorting imagery could greatly increase efficiency. AI has been demonstrated as an effective option for automatically identifying species from camera trap imagery. Currently available code bases are inaccessible to the majority of users; requiring high-performance computers, advanced software engineering skills and, often, high-bandwidth internet connections to access cloud services. The <em>ClassifyMe</em> software tool is designed to address this gap and provides users the opportunity to utilise state-of-the-art image recognition algorithms without the need for specialised computer programming skills. <em>ClassifyMe</em> is IDEAL for field researchers, allowing users to sweep through camera trap imagery using field computers instead of office-based workstations.</p>

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• New app aims to take a bite out of illegal shark fin trade

Powered by artificial intelligence, a new app called Fin Finder enables customs inspectors to take a photo of a shark or ray fin and identify it within seconds. Developed by Conservation International in partnership with Singapore’s National Parks Board, and supported by Microsoft and other partners, this app could help governments confiscate illegal animal parts that are hidden in plain sight. 

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• New papers on passive acoustic monitoring

PAM & transfer learning, defining occupancy in surveys, effects of anthropogenic noise on fish, soundscapes to track ecosystem recovery, detecting sharks with echosounders, using PAMGuard to detect marine mammals