Identify animal species in camera trap and audio recordings
Nature conservation and environmental authorities identify animal species in camera trap and audio recordings
Fits: Research & development
Thousands of camera trap images and hours of audio recordings are reviewed faster: empty recordings drop out, common species are pre-sorted, and your species experts concentrate on the difficult and important records.
Is this for you?
- You run camera traps, bat detectors or audio recorders for monitoring, mapping or expert reports.
- Reviewing the recordings takes longer than setting up the devices.
- You have species experts on the team or among volunteers who can check the results.
Take five to ten camera trap images from a completed series whose species have already been reliably identified, including one empty image and one difficult night shot. Remove images showing people beforehand. Have them identified with the template below and compare with the known identification.
How to go about it
- Define target species and the requirements for a record
- Set up cameras and recorders consistently
- Build a test collection of reliably identified recordings
- Test the identification and set review rules
- Build pre-sorting into monitoring and reporting
- Check confusions and missed animals every season
Templates to copy
The complete guide
- 6 steps explaining exactly what to do
- 3 proven templates to copy into your own AI
- Safe use: data, checking, deciding, informing
- Pitfalls, effort and how to recognise success
With the training you get all 430 guides for as long as your access runs.
Same approach, other use cases
24 more use cases follow the pattern “Inspecting by camera”.
LW-14 · Legal status 08.10.2026