Dustin VanOverbeke

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Dustin VanOverbeke

@DustinVanOverbeke
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Dustin VanOverbeke

I am a researcher at a small liberal arts college in California, working in native bee species monitoring. One current project aims to prototype and test a pollinator camera trap and eventually create affordable, deployable traps that can be used by citizen scientists.

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United States

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English

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Autonomous Camera Traps for Insects

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Latest Discussion
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Exploring storage options for mass data collection

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.

Latest Resource
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Tropical pilot of insect camera traps

New technology enabling the automated monitoring of moths has been put to rigorous testing in tropical conditions in Panama by an international team of researchers

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AI for Conservation

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Latest Discussion
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Computer Science student looking to work for wildlife

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.

Latest Resource
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Ol Pejeta Conservancy and Mbaza AI

💙 Exciting news from Appsilon! Our flagship project, Mbaza AI, is expanding its impact on nature and biodiversity conservation. We’ve teamed up with the 🦏 Ol Pejeta Conservancy to build a model for classifying images of plains animals that use their migratory corridors.

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Camera Traps

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Latest Discussion
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Exploring storage options for mass data collection

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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Ol Pejeta Conservancy and Mbaza AI

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Citizen Science

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New article: Domain-specific neural networks improve automated bird sound recognition already with small amount of local data

Anyone can become a citizen scientist - even experts! If you're excited about exploring new areas of conservation tech, contributing to projects, or developing and launching your own citizen science projects or apps, this is the group for you.

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USD500 available for your workshop

Sloan Foundation funding

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