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Riley Knoedler contributed to Product - "The BatCopter"
Riley Knoedler added a new Event - "Applying Open-Source Computer Vision Models to Camera Trap Images" to Conservation Tech Training and Education
Riley Knoedler added a new Event - "Applying Open-source Computer Vision Models to Camera Trap Images" to AI for Conservation
Riley Knoedler added a new Discussion - "Wildlife data from autonomous vehicles" to AI for Conservation
Riley Knoedler added a new Event - "Applying Open-Source AI to Camera Trap Imagery" to Camera Traps
Groups
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- 947
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- Latest Discussion
- Loaning Bioacoustics Recorders
Acoustic is one of our biggest and most active groups, with members collecting, analysing, and interpreting acoustic data from across species, ecosystems, and applications, from animal vocalizations to sounds from our natural and built environment.
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps 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. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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- Deep Voice - A Free Online Platform for AI-Based Marine Mammal Sound Detection and Classification
Passive acoustic monitoring floods marine researchers with data that can take months to annotate by hand, and the AI models that could help have long required Python setup, GitHub repos, and complex config files. Funded by the WILDLABS Awards 2025, Deep Voice removes that barrier with a free, public web app that turns marine mammal sound detection into a simple drag-and-drop task.
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- Boring Fund Report for Creating Global Open-Access Ground-Truth Datasets for Insect Monitoring
Improving the computer vision detection model for the Mothbox, an automatic insect monitoring tool from Dinalab
Group
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- 926
- 2305
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- Latest Discussion
- Camera Trap Suggestions for Time-lapse Seabird Monitoring?
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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- Practical Considerations for Camera Trap Photography
Trail Cameras & Custom Camera Traps: Technology, Ethics & Strategies for Success
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Used to pick up signals from tracking gear on the ground, collect images of wildlife and habitats from the air, gather acoustic data with specialized hydrophones, or even collect snot samples from whales' blowholes, drones are capable of collecting high-resolution data quickly, noninvasively, and at relatively low cost.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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- 102
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- Latest Discussion
- Raspberry Pi Alternatives for Edge AI!
This group unites those working at the intersection of edge AI and conservation, focusing on real-time, on-device data processing for environmental monitoring to facilitate sharing tools, models, and strategies to overcome challenges in remote, low-connectivity areas.
🌍 Conservation technology is transforming how we protect wildlife, but are we thinking carefully enough about the risks? Drones, camera traps, GPS trackers, acoustic sensors, AI, and remote sensing have become essential tools for conservation practitioners around the world. They help us monitor species, detect threats, and respond faster than ever before. But these same technologies can also introduce unintended risks, and in some cases, can be exploited by those seeking to harm the very wildlife we're trying to protect. 🦏 Input now and/or join the discussions/research.
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Riley Knoedler's Content
Careers
Machine Learning Engineer / Data Scientist
Riley Knoedler
Western EcoSystems Technology (US-Based)
13 July 2026
Discussion
Wildlife data from autonomous vehicles
Riley Knoedler
It occurred to me and my colleagues recently that the self-driving vehicle industry must be working on their own animal classification models, because it matters if you are about...
16 October 2024
Riley Knoedler commented on "Software for tortoise re-identification"