# Wildlife monitoring · Use cases · Dscvry

> Apply Dscvry to wildlife monitoring: sort camera-trap and drone imagery by species, count animals and flag signs of injury for rangers.

Source: https://dscvryai.com/use-cases/wildlife-monitoring/

# Which animals passed, and are they hurt?

See every animal. Spot the injured one. Every species. Every camera trap. Every injury.

See it worked through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Wildlife monitoring

## Thousands of images. A few that matter.

Camera traps and drones produce more images than rangers can look through. Most show empty ground or common species. The injured animal is in there somewhere, a week later.

### Too many images.

A single camera trap can fill a card in days. Most frames are wind, grass and shadows.

### Sorted by hand.

Rangers and volunteers tag species one image at a time, weeks behind.

### Injuries seen late.

A limping animal or a snare wound is noticed long after it could have been treated.

## What the AI reads.

Every camera-trap image and drone pass, sorted by species, counted and checked for signs of injury as it comes in.

### In

- Camera-trap images
- Drone footage
- Ranger reports
- Species list
- Individual records
- Maps

### At work

1. [Sense](https://dscvryai.com/technology/sense/) Reads camera-trap images and drone footage as they arrive.
2. [Understand](https://dscvryai.com/technology/understand/) Names the species in each image and drops the empty frames.
3. [Check](https://dscvryai.com/technology/check/) Checks posture, gait and visible wounds for signs of injury.
4. [Anticipate](https://dscvryai.com/technology/anticipate/) Flags animals and herds seen less often than expected.
5. [Operate](https://dscvryai.com/technology/operate/) Sends rangers the image, the location and the time.

### Out

One sightings log. Every flag comes with its image.

## Every image sorted. Every injury raised.

Reserve managers see what was seen, where, and which animals need a ranger, without looking through every frame.

Sightings log · Why it's flagged · Ranger brief ·

Sightings · last 24 hours · 14 cameras Illustrative

**9** routine · **1** to check · **1** possible injury

| Camera | Sighting | Status | Detail | Time |
|---|---|---|---|---|
| Northern waterhole | | | | |
| T-07 | White rhino, adult | Injury | Uneven gait, left hind leg | 05:42 |
| T-07 | Impala, herd of 14 | Identified | Routine visit | 06:10 |
| T-08 | Elephant, 3 | Identified | Bull and two cows | 06:55 |
| Eastern boundary | | | | |
| T-03 | Zebra, 6 | Identified | Moving south | 04:20 |
| T-09 | Spotted hyena | Check | Seen near the fence line twice in one night | 02:14 |
| T-10 | Leopard | Identified | Known individual M-04 | 01:30 |
| T-05 | 412 frames | Dropped | Wind and grass, no animals | All night |
| Southern plains | | | | |
| T-11 | Giraffe, 2 | Identified | Browsing | 07:30 |
| T-12 | Blue wildebeest, 20 | Identified | Grazing | 07:45 |
| T-13 | Kudu, 4 | Identified | Routine | 08:10 |
| T-14 | Warthog, 3 | Identified | Routine | 08:02 |

Illustrative example. Reserve, cameras, animals and times are fictional.

## Built for the bush.

Reserves mean long distances, weak signal and small teams. The AI is built for that.

### Works offline.

Runs on a machine at the base camp; images sync when the signal allows.

Deployment options
https://dscvryai.com/#deployment

### Knows your animals.

Individual animals are recognised from your own records and markings.

Image understanding
https://dscvryai.com/technology/sense/images/

### Rangers stay in charge.

The AI sorts and flags. People decide where to go and what to do.

How Operate works
https://dscvryai.com/technology/operate/

## Same records. Other problems.

The same imagery answers other questions too.

Is this part defective?

### Defect inspection

Catch defects on the line, not at the customer.

See how →
https://dscvryai.com/use-cases/defect-inspection/

What here isn’t safe?

### Safety checks

Flag what’s unsafe or incomplete.

See how →
https://dscvryai.com/use-cases/safety-checks/

More in Operations
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## Bring us a memory card.

Send a week of camera-trap images. We’ll show you what the AI finds in them.

[Talk to us →](https://dscvryai.com/contact/?topic=Wildlife%20monitoring%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India
