The Challenge
Manually counting bats is tedious, prone to errors, and often impractical for large-scale studies. TrackBats changes this by:
- Improving data reliability – Our AI is trained to handle different lighting conditions, bat species, roost types and provides accurate counts in minutes.
- Supporting conservation efforts – Better data means better protection for bat populations.
The Solution
After months of development and testing with researchers and conservation actors, we're thrilled to launch TrackBats – an AI-powered tool that automatically counts bats from video recordings of their roosts.
TrackBats is an innovative solution that uses deep learning to analyze bat roost videos and provide accurate, actionable counts for ecologists and researchers.
How it works?
1
Download your videos
Import your bat roost videos
2
Our deep learning (AI) model analyzes it
It detects and counts bats
3
Get the results
Get detailed and exportable counts for your reports.
Impact and Benefits
💡 Who is TrackBats for?
- Researchers and ecologists studying bat populations.
- Conservation groups monitoring roosts.
- Environmental consulting firms conducting impact assessments.
We're looking for beta testers and partners to help us improve TrackBats. If you work with bats or know someone who does, we'd love to hear from you!