Autonomous camera traps for insects provide a tool for long-term remote monitoring of insects. These systems bring together cameras, computer vision, and autonomous infrastructure such as solar panels, mini computers, and data telemetry to collect images of insects.
With increasing recognition of the importance of insects as the dominant component of almost all ecosystems, there are growing concerns that insect biodiversity has declined globally, with serious consequences for the ecosystem services on which we all depend.
Automated camera traps for insects offer one of the best practical and cost-effective solutions for more standardised monitoring of insects across the globe. However, to realise this we need interdisciplinary teams who can work together to develop the hardware systems, AI components, metadata standards, data analysis, and much more.
This WILDLABS group has been set up by people from around the world who have individually been tackling parts of this challenge and who believe we can do more by working together.
We hope you will become part of this group where we share our knowledge and expertise to advance this technology.
Check out Tom's Variety Hour talk for an introduction to this group.
Learn about Autonomous Camera Traps for Insects by checking out recordings of our webinar series:
- Hardware design of camera traps for moth monitoring
- Assessing the effectiveness of these autonomous systems in real-world settings, and comparing results with traditional monitoring methods
- Designing machine learning tools to process camera trap data automatically
- Developing automated camera systems for monitoring pollinators
- India-focused projects on insect monitoring
Meet the rest of the group and introduce yourself on our welcome thread - https://www.wildlabs.net/discussion/welcome-autonomous-camera-traps-insects-group
Group curators
- @tom_august
- | he/him
Computational ecologist with interests in computer vision, citizen science, open science, drones, acoustics, data viz, software engineering, public engagement
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- 7 Resources
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I am a biologists interesesd in ecology and evolution, especially in alpine plants and insects. I develop computer vision and field hardware solutions to automate pollinators monitoring.
- 1 Resources
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- @NightLife
- | He/Him
Student researcher at the University of Wisconsin - Madison, specializing in the development of automated insect monitoring systems. Our current project integrates computer vision technology to accurately classify insects, aiming to push forward entomological research.
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Interested in automated insect monitoring.
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- 15 Discussions
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- @kadambarid
- | she, her, hers
Dr. Kadambari Devarajan is an engineer-turned-ecologist working on biodiversity monitoring. (Website - http://kadambarid.in/)
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- 14 Groups
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- @bcknr
- | He/Him
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- 6 Groups
PhD entomology student at Harper Adams using machine learning to research monitoring oak processionary moth
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- 3 Groups
- @SS_Henriques
- | He/His/Him
- 0 Resources
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- @vmshirey
- | any/all/none
I am a postdoctoral fellow at the University of Southern California interested in using AI for historical biodiversity reconstruction, conservation, and climate change research. I work mostly with insects and computer vision.
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- 4 Groups
- @jakub
- | He/Him
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- @magali
- | she/her
Swedish University of Agricultural Sciences
Postdoctoral researcher at Swedish University of Agricultural Sciences
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- 16 Groups