Groups joined
Discussion Comments
Groups
Group
- Latest Discussion
- /
- Get to Know WILDBEAR Awardee Alyssa Bohart
- Latest Resource
- /
- Introducing WILDBEAR Awardee Alyssa Bohart
Get to know Alyssa Bohart, our first WILDBEAR Award recipient, who works with GPS-collared bears in Canada.
Group
- Latest Discussion
- /
- A Triphibian Surveillance Vehicle
- Latest Resource
- /
- New paper: Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring & occupancy models
Julia Martínez Pardo et al., Published in Biological Conservation
Group
- Latest Discussion
- /
- Identify animal from Image
- Latest Resource
- /
- 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.
Group
- Latest Resource
- /
- 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>
Collections
Keep track of the resources that matter to you! Collections let you save, organise, and share content from all over the WILDLABS community. Create your first collection by clicking on the bookmark icon wherever you see it.
Lloyd Hughes's Comments