Every camera trap image, identified by AI
Built for parks, reserves, and conservation teams. Connect your cameras or upload your archive. Animal Detect identifies every animal, collects detections on a map, and turns 10,000 captures into about 30 minutes of review.
Live captures
Supported by
Nothing walks past your cameras unnoticed
Your cameras produce more than your team can look at
The archive nobody opens
Years of SD cards sit unprocessed, because sorting ten thousand images by hand costs days.
Most frames are empty
Wind and false triggers fill the majority of every archive, and someone still has to check each frame.
Funders want defensible numbers
Reports to authorities and donors need counts that hold up, with the evidence stored behind them.
You learn about events weeks late
By the time SD cards are collected, the animal passed a month ago. A trespasser is long gone.
From capture to proof in three steps
- 1
Connect
Pair cellular cameras once, or upload an archive from your computer.
- 2
AI identifies on arrival
Blank frames are filtered out and animals are identified across 2,000+ species, each with a confidence score.
- 3
Review, map, and report
Your team works through one review queue, sees every detection on the map, and exports statistics for reports.
What monitoring teams use it for
Rewilding evidence
Document which species return after restoration, season by season, with the captures stored as proof.
Population tracking
Activity counts and trends per site feed your population estimates and yearly reports.
Trespassers and invasive species
Unwanted visitors show up in the same queue the moment a camera sees them.
VILDchose Animal Detect to watch Denmark's wildest nature
The VILD project is funded by the Danish Ministry of Environment together with Aage V. Jensen Naturfond, and it runs on Animal Detect. Connected cameras cover two of Denmark's wildest areas, and every capture is identified on arrival.
- Ovstrup Hede and Lille Vildmose
- 50 connected cameras being deployed
- Red deer, wolves, and bison
- Every capture identified on arrival
What if the AI is wrong?
- Accept and move on
- Strong calls need no second look.
- Review only the doubtful
- The model flags its own uncertainty.
- Your call is final
- One click overrules, kept on record.
Or skip the interface entirely
Send an image to one endpoint and get every animal in it back, for your own solution.
curl -X POST \
https://api.animaldetect.com/v1/detect \
-H "Authorization: Bearer $ANIMAL_DETECT_KEY" \
-F "image=@ridge-camera-0412.jpg" \
-F "country=DNK"{
"detections": [
{ "label": "red deer", "confidence": 0.97,
"taxonomy": { "family": "cervidae" },
"bbox": [0.50, 0.50, 0.19, 0.30] }
],
"free_quota_remaining": 238
}“I use their API for my app and absolutely love the response from people that use it.”
Nischit Solanky, Safari operation, Kenya
People never end up in your data
EU-based · Built for GDPR ComplianceSee it with your own eyes
Thirty minutes with a founder. No slides, just the product in action.
Prefer email? support@animaldetect.com
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