Animal Detect platform
Every image your cameras produce, put to work
Wildlife monitoring
Watch your area as it happens
Connect cellular cameras once. From then on, every capture flows in on its own: downloaded, identified, and sorted into a review queue before anyone opens a laptop.
Video arrives as video
Connected cameras upload their clips whole. You watch the video while the AI runs on its frames and summarizes what passed through.
Monitoring
Processedred deer, 99%
2 April, 10:30
Processeddomestic cat, 100%
3 May, 03:44
Processeddomestic sheep, 93%
28 March, 11:17
Processedraccoon dog, 95%
10 June, 02:10
Processedeurasian badger, 99%
5 May, 16:01
Processedwolf, 93%
1 July, 07:59
Species, age, gender, and re-ID
Relabel any detection with taxonomy search, and record age, gender, and individual re-identification on each animal. The original model output is kept alongside your corrections.
Detections
56.2841, 8.9034
Last ingested 6 min ago
Your sites on a map
Every deployment carries its coordinates. See camera positions per project, jump from a pin to its latest captures.
Devices you can trust
Per-camera sync status, last-ingest times, and a processing queue you can inspect: pending, processing, failed, retryable. Nothing disappears silently.
From the cameras
See real footage taken in European forests
Five captures from monitored sites, different days and locations. Footage like this arrives on its own, gets identified on arrival, and waits in the review queue.
Dataset processing
Six years of SD cards is not a problem
Upload your archive as it is: Animal Detect filters the empty frames, identifies the animals, and hands you back a dataset you can actually analyze.
40+ hours
manual sorting per 10,000 images
~30 minutes
review time with Animal Detect
Blanks removed before you look
Empty frames are set aside automatically, typically the majority of any archive.
Species-level labels
Over 2,000 taxa, with confidence scores and full taxonomy on every detection.
Built-in video slicer
Upload camera trap videos as they are. Frames are extracted in your browser and analyzed like any other capture.
Exports for real analysis
CSV for spreadsheets and R, COCO annotations for model work, sorted image archives, and charts for reports.
“Animal Detect was impressively accurate. This will save me huge amounts of time with the thousands of images I need to review.”
Eoin Flanagan, Researcher, Australia
Detection API
The same engine, in your stack
Everything the platform does starts with one HTTP request. Send an image, get back every animal in it. Run one image at a time or queue asynchronous jobs for volume.
- Simple bearer-token auth
- Country-aware species lists covering 195 countries
- Async jobs with webhooks for large batches
- Playground to test before you write code
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
What you can count on
Monitoring only works if you can trust it
Your data stays yours
Every image, label, and correction is private to your account, exportable on demand, and permanently deletable whenever you choose.
Nothing fails silently
Each capture carries a visible status from upload to result. Failures land in a queue you can inspect, retry, and reprocess.
People answer, not tickets
Write to us and a founder replies, usually the same day. Requests go straight to the people who build the platform.
See it with your own cameras
Start free with your own images, or talk to us about a monitoring pilot for your organisation.