Wildlife AI

From camera trap to species — automatically

Untamed Data runs a dedicated wildlife AI pipeline that detects animals and classifies species in your trail camera photos and videos — with human review for uncertain results, all processed on EU infrastructure alongside your data.

Capabilities

What the pipeline does

Detection, classification, and human review in one continuous flow.

Detection

Find animals in each image or video frame — skip empty shots and focus on captures that matter.

Species classification

Identify the species behind each detection, with confidence scores you can filter and export.

Human review

Uncertain identifications land in a review queue — confirm or correct before they enter your reports.

Pipeline

How wildlife AI fits your workflow

No manual tagging step. Uploads from cameras or SD cards flow straight into detection, classification, and your dashboard.

1

Upload

Photos and videos arrive via FTPS (preferred) or plain FTP from your cameras, or through manual upload from the field.

2

Detect & classify

Our inference service finds animals and assigns a species label with a confidence score for each capture.

3

Review if needed

Low-confidence results go to the review queue. High-confidence detections move straight to your dashboard.

Infrastructure

Wildlife AI on EU infrastructure — not a black box

Untamed Data runs its own dedicated inference service for camera-trap workflows — on the same European infrastructure as your footage. Every detection shows species, confidence, and source media. Human in the loop: AI assists identification; uncertain results go to a review queue, and corrections you make are stored for audit and quality tracking.

For the full trust story — hosting, ownership, and platform independence — see Why Untamed Data.

Media

Photos and videos

The pipeline handles standard camera-trap photos (JPEG, PNG) and videos (MP4, MOV, AVI). For video clips, key frames are sampled across the full duration — so you get representative detections without processing hundreds of near-identical frames from the same animal passing through.

Empty shots and non-wildlife triggers are filtered early, so your dashboard highlights real activity — foxes, deer, boar, badgers, and the rest of your local fauna.

Quality control

Review queue

Not every capture is equally clear. Night shots, partial animals, or unusual angles can lower the model's confidence. When a detection falls below the confidence threshold, it is held in the review queue until a team member confirms or corrects the species.

Confirm as-is — accept the AI suggestion when it looks right.
Correct the species — pick the right label from the list or type a new one.
Bulk actions — confirm or reject multiple detections at once during busy field seasons.

Reviewed detections flow into charts, maps, gallery views, and CSV/PDF exports — the same data path as high-confidence automatic identifications. Every correction is stored with the detection for audit and quality tracking.

Region

Built for European wildlife monitoring

The classification model is tuned for broad wildlife recognition with regional context — well suited to European camera-trap projects from rewilding reserves and forestry estates to research plots and farmland corridors.

Species appear in your dashboard with readable names and filterable counts per project, camera, and date range — ready for reporting to stakeholders, funders, or publication.

Compare

AI vs manual review

How automated species identification compares to fully manual tagging.

	Manual tagging	Untamed Data wildlife AI
Speed	Hours per SD card	Automatic on upload
Consistency	Varies by reviewer	Same model, same scoring
Quality control	100% human effort	Review queue for uncertain shots
Scale	Hard to scale across sites	Multi-camera, multi-project dashboards
Data location	Depends on your tools	EU-hosted, export anytime

Knowledge: wildlife AI → Supported cameras → Product overview →