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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.

Gallery

Every capture identified on arrival, newest first.

New141Blank33Reviewed1
Grey wolf on open heath, identified by Animal Detect
grey wolf 98%
Red deer at dawn, identified by Animal Detect
red deer 98%
Red fox and two eurasian badgers at a feeder, identified by Animal Detect
red fox 99%
Fallow deer under a full moon at night, identified by Animal Detect
common fallow deer 99%
European roe deer grazing on heath, identified by Animal Detect
european roe deer 98%
Wild boar at night, identified by Animal Detect
wild boar 94%
Camera 12 synced 4 minutes ago

Supported by

Aalborg University
MUDP
Danish Ministry of Environment
Aage V. Jensen Naturfond
Innovation Fund Denmark

Nothing walks past your cameras unnoticed

Camera trap capture of a red deer herd at Ovstrup Hede with AI detection boxes
red deer 95%
red deer 97%
red deer 99%
red deer 99%
red deer 100%
red deer 98%
red deer 92%
red deer 94%
red deer 93%
red deer 62%
red deer 57%
red deer 54%
red deer 78%
red deer 82%
red deer 84%
red deer 81%
red deer 92%
red deer 95%
red deer 98%
red deer 95%

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. 1

    Connect

    Pair cellular cameras once, or upload an archive from your computer.

  2. 2

    AI identifies on arrival

    Blank frames are filtered out and animals are identified across 2,000+ species, each with a confidence score.

  3. 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

European bison photographed by a connected camera

Rewilding evidence

Document which species return after restoration, season by season, with the captures stored as proof.

Red deer standing in open heath at sunrise, photographed by a connected camera

Population tracking

Activity counts and trends per site feed your population estimates and yearly reports.

Raccoon dog crossing a clearing at night, identified by Animal Detect

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
More projects we work on
Night capture at a feeder with a red deer, a eurasian badger and a red fox, each identified by Animal Detect
red deer 89%
eurasian badger 96%
red fox 98%

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
curl -X POST \
  https://api.animaldetect.com/v1/detect \
  -H "Authorization: Bearer $ANIMAL_DETECT_KEY" \
  -F "image=@ridge-camera-0412.jpg" \
  -F "country=DNK"
response · 200 OK · 412 ms
{
  "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

Camera trap capture in which a person stays unrecognizable
Try a closer look

People never end up in your data

EU-based · Built for GDPR Compliance

See 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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Frequently asked questions

  • Parks, reserves, and rewilding projects running connected cameras; researchers processing camera trap archives; government agencies; and developers building detection into their own products. See our projects for real examples.

  • Yes. Everything belongs to your organisation, not to one person: cameras, projects, captures, and results are shared, and you invite teammates into the same workspace so reviews and exports stay in one place. If you want it set up for your sites, book a demo.

  • Images and videos from trail cameras or underwater cameras, day and night shots alike. Connected cameras upload video as watchable clips with the AI results summarized per clip, and bulk uploads run through a built-in video slicer.

  • Yes. Create a free account and test dataset processing with your own images. For wildlife monitoring, book a demo and we will plan a pilot for your sites.

  • Yes. Animal Detect is a dedicated commercial platform with ongoing development, support, and infrastructure behind it. We build for continuity, so you can adopt it knowing it will still be maintained years from now.

  • Write to support@animaldetect.com: a founder reads and answers every email, usually the same day.

Know what moves through your land

Book a demo