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
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Computational ecologist with interests in computer vision, citizen science, open science, drones, acoustics, data viz, software engineering, public engagement
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Worked as a mechanical engineer for a defence co, then software engineer, then for a research lab specialising in underwater robotics.
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Conservation MacGyver. PhD Animal Behaviour
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PhD student working on wild bee conservation in orchards
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A PhD researcher from Monash University working on developing Computer Vision facilitated insect monitoring systems for agriculture and entomology.
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- @guyh3rrm
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Cardiff University
I am a PhD candidate exploring video approaches to automate the detection of ecological interactions and exploring how such methods can improve the depth of quantification of interactions
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- @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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- @ARobillard
- | He/Him
A conservation data scientist and field ecologist with broad interest in the application of machine learning and population genetics to the conservation of threatened species. Alex has conducted field studies throughout central and south America, the Caribbean, and North America.
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- @JDCrall85
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- @nick56swim
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I am an IoT and embedded ML developer. I am also a nature enthusiast with keen interest in conserving the endangered species
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- @mihow
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June 2024
event
November 2023
event
Emerging technologies revolutionise insect ecology and monitoring
16 September 2022 10:11am
Identify animal from Image
2 August 2022 1:37am
2 August 2022 10:24am
Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a solution
Workshop III: Designing machine learning tools to process camera trap data automatically
1 August 2022 10:35am
Workshop II: Assessing automated insect monitoring
1 August 2022 10:23am
Workshop I: Automated moth monitoring deployments
1 August 2022 10:12am
2 August 2022 2:54am
Hi Jitendra.
If they are still images, many people are using Megadetector to analyze their images. I'm not sure how it will do in species classification, but it can tell you if there are images of interest in the shots. Others here can probably give you more detailed instructions on how to use it to batch process camera trap images.