Paul Bodesheim

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@PaulBodesheim

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Paul Bodesheim

Team Leader for "Computer Vision and Machine Learning" at University of Jena (Germany) working on algorithmic solutions for biodiversity monitoring tasks

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AI for Conservation

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WILDLABS AWARDS 2024 – MothBox

Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.

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Join the Seeed Vision Challenge and Explore Conservation Tech!

Join the Seeed Vision Challenge, an opportunity for conservation innovators to harness the power of AI vision sensors for environmental monitoring and protection.

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Autonomous Camera Traps for Insects

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Latest Discussion
WILDLABS AWARDS 2024 - Enhancing Pollinator Conservation through Deep NeuralNetwork Development

Camera trapping for insects is becoming a reality using advances in camera, AI, and autonomous systems technologies. This group discusses the latest advances, shares experiences, and offers a space for anyone interested in the technology, from beginners to experts.

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Wisconsin - Insect Light Trap

We are a group of students at UW-Madison who have built a working prototype for insect imaging. The light trap is aimed at photographing aquatic insects.

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Camera Traps

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Latest Discussion
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification

Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.

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The Variety Hour: 2024 Lineup

You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and discussions!

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Open Source Solutions

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WILDLABS AWARDS 2024 – MothBox

This group is a place to share low-cost, open-source devices for conservation; describe how they are being used, including what needs they are addressing and how they fit in to the wider conservation tech market; identify the obstacles in advancing the capacity of these technologies; and to discuss the future of these solutions - particularly their sustainability and how best to collaborate moving forward.

Latest Resource
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Underwater advertisement call of the threatened Telmatobius rubigo (Anura: Telmatobiidae

In a recent publication we tested Underwater Passive Acoustic Monitoring (UPAM) as a feasible non-invasive technique to study the calling behavior of therathened aquatic Andean frogs under natural conditions in the extreme environments of PUNA in the central Andes of Argentina

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Software and Mobile Apps

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Latest Discussion
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification

The software and apps used and built by the conservation tech community are as varied as the species and habitats we work to protect. From fighting wildlife crime to collecting and analyzing data to engaging the general public with unique storytelling, apps, software, and mobile games are playing an increasingly large role in our work. Whether you're already well-versed in the world of software, or you're a hardware expert looking for guidance from the other side of the conservation tech field, this group will have interesting discussions, resources, and ideas to offer.

Latest Resource
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Underwater advertisement call of the threatened Telmatobius rubigo (Anura: Telmatobiidae

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