Camera traps have been a key part of the conservation toolkit for decades. Remotely triggered video or still cameras allow researchers and managers to monitor cryptic species, survey populations, and support enforcement responses by documenting illegal activities. Increasingly, machine learning is being implemented to automate the processing of data generated by camera traps.
A recent study published showed that, despite being well-established and widely used tools in conservation, progress in the development of camera traps has plateaued since the emergence of the modern model in the mid-2000s, leaving users struggling with many of the same issues they faced a decade ago. That manufacturer ratings have not improved over time, despite technological advancements, demonstrates the need for a new generation of innovative conservation camera traps. Join this group and explore existing efforts, established needs, and what next-generation camera traps might look like - including the integration of AI for data processing through initiatives like Wildlife Insights and Wild Me.
Our past Tech Tutors seasons featured multiple episodes for experienced and new camera trappers. How Do I Repair My Camera Traps? featured WILDLABS members Laure Joanny, Alistair Stewart, and Rob Appleby and featured many troubleshooting and DIY resources for common issues.
For camera trap users looking to incorporate machine learning into the data analysis process, Sara Beery's How do I get started using machine learning for my camera traps? is an incredible resource discussing the user-friendly tool MegaDetector.
And for those who are new to camera trapping, Marcella Kelly's How do I choose the right camera trap(s) based on interests, goals, and species? will help you make important decisions based on factors like species, environment, power, durability, and more.
Finally, for an in-depth conversation on camera trap hardware and software, check out the Camera Traps Virtual Meetup featuring Sara Beery, Roland Kays, and Sam Seccombe.
And while you're here, be sure to stop by the camera trap community's collaborative troubleshooting data bank, where we're compiling common problems with the goal of creating a consistent place to exchange tips and tricks!
Header photo: ACEAA-Conservacion Amazonica
|Hi Yvan,If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.In the same idea that...||
||AI for Conservation, Camera Traps||5 months 3 weeks ago|
|I'm interested in your findings for the same utilization, so what did you decide to do ?||
||Camera Traps||5 months 4 weeks ago|
|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...||
||AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps||5 months 4 weeks ago|
|More info, the exact protocols & instructions to sign up here: https://app.wildlifeinsights.org/initiatives/2000166/Snapshot-Europe...||
||Camera Traps||6 months 1 week ago|
|Cool thread!I will be testing Reolink Wi-Fi cameras in combination with solar powered TP-Link long range Wi-Fi antennas/repeaters later this field season for monitoring arctic fox...||
|Camera Traps||6 months 2 weeks ago|
|Hi Kate,I highly appreciate your feedback. I love your idea of using wild ID .I have registered for the wild ID and am looking forward to using it in future. I wont hesitate to...||
||Camera Traps, East Africa Community||6 months 4 weeks ago|
|Great news Dan! We will be giving the model a go on some of our new eradication projects soon||
||AI for Conservation, Camera Traps||7 months ago|
|Hi Meredith,Here's a little more information about the Arribada cameras. They are solar powered and received enough power in the Antarctic winter continue photographing. We...||
||Camera Traps||7 months ago|
|@gracieermi & I are happy to announce the latest update to the Conservation Tech Directory, bringing our total resources in the...||
||Acoustic Monitoring, AI for Conservation, Biologging, Camera Traps, Community Base, Data management and processing tools , Drones, eDNA & Genomics, Remote Sensing & GIS, Software and Mobile Apps||7 months ago|
|I haven't tried anything like a floating mount for camera traps so would love to stay posted on how it goes. It would open up a lot of possibilities, but it sounds quite...||
||Camera Traps||7 months 1 week ago|
|At Ol Pejeta, through the Kifaru Rising project, we have 19 FLIR thermal cameras that we use to address poaching as a conservation challenge.The cameras have been deployed along a...||
||Human-Wildlife Conflict, Camera Traps, Sensors||7 months 1 week ago|
|I forgot to add, I put the cameras in the bag with the doors or camera halves OPEN so the moisture does not stay in a closed camera, we want everything to stay dry.||
||Camera Traps||7 months 2 weeks ago|
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The British Ecological Society's journals always have topics that will interest our conservation tech community - in this particular issue, you'll find research on a large-scale camera trapping effort to monitor mammals, as well as the role of citizen science in data analysis for that project.
New paper - An evaluation of platforms for processing camera-trap data using artificial intelligence
13 January 2023 12:14am
We review key characteristics of four AI platforms—Conservation AI, MegaDetector, MLWIC2: Machine Learning for Wildlife Image Classification and Wildlife Insights—and two auxiliary platforms—Camelot and Timelapse—that incorporate AI output for processing camera-trap data. We compare their software and programming requirements, AI features, data management tools and output format. We also provide R code and data from our own work to demonstrate how users can evaluate model performance.
New paper - Real-time alerts from AI-enabled camera traps using the Iridium satellite network: A case-study in Gabon, Central Africa
13 January 2023 12:12am
Sending real-time alerts from ecological sensors such as camera traps in areas with poor data connectivity is complex and involves integrating a large number of potentially complex hardware and software components. Our results demonstrate that these components can be successfully integrated to achieve reliable, near real-time alerts from camera traps under challenging field conditions.
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New paper - Snapshot of the Atlantic Forest canopy: surveying arboreal mammals in a biodiversity hotspot
28 November 2022 4:11pm
Arboreal camera trapping confirms occurrence of the thin-spined porcupine and several critically endangered species in Caparaó National Park, Brazil.