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• Introducing the WILDLABS On the Edge Fellows

<p>We're proud to introduce the first <strong>WILD</strong>LABS On the Edge Fellows for 2022, Loretta Schindlerova and Meredith Palmer! Working alongside expert Edge Impulse mentors, these two fellows will use embedded machine learning to bring innovative projects to life.</p>

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• Bird Sounds Global web portal

A new web portal for annotating bird sounds has been opened called Bird Sounds Global (BSG). It is part of project LIFEPLAN, and its key objective is to develop global, automated software for bird sound identification.

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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 article (Reuters): Orca stuck in river to be lured to sea using drone with loudspeakers 

"A drone emitting orca sounds will be used in attempt to guide the animal, whose health is fast deteriorating"

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• News: The Latest in Conservation Tech

<p>Check out this round-up of three of the latest news stories from the conservation tech world. </p> <p><a href="https://wildlabs.us11.list-manage.com/subscribe/post?u=13a5323dc43234ee66d95cc90&id=fce1034265">See more conservation tech news by subscribing to our bi-monthly digest. </a></p>

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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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• Detection dogs provide a powerful method for conservation surveys

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• WILDLABS Virtual Meetup: Future Questions & Tools in Movement Ecology (Recording)

Our fourth and final meetup in Season 4 explored the future of movement ecology, including tools that could change the game and questions we might not yet have thought to ask. On June 8, we heard short talks from leading experts Christian Rutz, Ran Nathan, Martin Wikelski, and Tanya Berger-Wolf, followed by open discussion and community exchange.