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For parks, reserves, and conservation teams

Every camera trap image, identified by AI

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.

My Projects

Organize deployments, uploads, and results across your wildlife monitoring work.

Projects
Upload Images
Białowieża Forest

Bison monitoring program

5 uploadsUpdated 3 days ago
Deer Haven Park

New York monitoring survey

8 uploadsUpdated 1 day ago
Serengeti Camera Traps

Wildlife monitoring in Tanzania

12 uploadsUpdated 2 hours ago
Camera 12 synced 4 minutes ago

Supported by

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

One capture. 23 red deer. Labeled in seconds

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%

A real capture from a connected camera at Ovstrup Hede, Denmark, and the model's real output

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

01

Connect

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

02

AI identifies on arrival

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

03

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.

VILD · National monitoring project

Chosen 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

What if the AI is wrong?

Every detection carries a confidence score, and the final say over every label is yours.

Confident

Strong detections come labeled with species and full taxonomy, ready to accept.

Uncertain

Low-confidence calls wait in a review queue for human eyes instead of hiding in your results.

Corrected

Any label you change is stored beside the original model output, provenance intact.

What you can count on

Your data stays yours

Private to your account, exportable on demand as CSV, COCO, sorted images, and charts, deletable forever.

Nothing fails silently

Every capture has a visible status from upload to result, and failures land in a queue you can retry.

People answer, not tickets

Write to us and a founder replies, usually the same day.

GDPR badgeEU-based · Built for GDPR Compliance

Book a demo

See it with your own eyes

Twenty minutes with a founder. Bring your cameras, your backlog, or your questions, and leave knowing whether Animal Detect fits your organisation.

  • Live walkthrough of monitoring and dataset processing
  • Pricing for your team's scale
  • No slides, just the product

Looking at the calendar…

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.

  • Today an account belongs to one user, and organisation accounts with roles and shared review are in active development. If your team needs shared access now, book a demo and we will plan a setup that works for you.

  • 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