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• WILDLABS State of Conservation Tech Survey 2022

Last year, WILDLABS published the first global, community-sourced assessment of the State of Conservation Technology, which evolved from our annual community survey. Take the 2022 survey to help us build from this baseline to track trends and shape the future of our rapidly evolving community and sector.

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• Mara Predators Hackathon 

APPLY NOW! The Sovereign Nature Initiative has partnered with the Kenya Wildlife Trust to experiment with emerging technologies to support their predators' conservation work.Challenges will focus on:1. Lion identification using computer vision and machine learning;2. Spatio-temporal prediction modeling - wildlife mobility predictions and human-wildlife conflict mitigation.Applications close on the 12th of September

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• MIT engineers build a battery-free, wireless underwater camera

The device could help scientists explore unknown regions of the ocean, track pollution, or monitor the effects of climate change.

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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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• CERES TAG

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

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• First-of-Its-Kind Digital Platform Reveals Migration Data for Birds Across the Americas Just In Time for Fall Migration

Interactive digital platform visualizes the incredible journeys of migratory birds, how they connect us across the hemisphere, and the widespread challenges they face throughout their full annual cycle.