Blog | Wild Intelligence Lab

Object Detection on Nvidia Jetson Platform for Intelligent Camera Traps

Training object detection models to count animals in images from a network of Nvidia Jetson camera traps at Kuzikus Wildlife Reserve in Namibia.

Satellite Data for Vegetation Monitoring in the Kalahari

Deep learning models that predict vegetation cover from satellite images, helping Kuzikus Wildlife Reserve in the Kalahari to prevent overgrazing.

Detection of animals in drone images to support wildlife conservation in Namibia

Counting wildlife in drone images of Bwabwata National Park in Namibia with convolutional neural networks: our methods and findings.

Black rhino habitat use, home ranges, and spatial distribution in the Kalahari ecosystem

How black rhinos use their habitat at Kuzikus Wildlife Reserve in Namibia: a research project on home ranges, habitat selection and spatial distribution.

Giraffe (Giraffa giraffa angolensis) identification and habitat use in Kuzikus Wildlife Reserve

Identifying individual giraffes with pattern recognition and mapping their habitat use to better understand the population at Kuzikus Wildlife Reserve.

Shadow Detection for Wildlife Management (Part II)

Part II of our shadow detection project: classifying the shadows of trees, bushes and animals in drone images to automate wildlife monitoring.

Edge Device Image Classification in the Field

Developing stand-alone edge devices that detect and classify animals in the field, for real-time data collection and analysis in key regions.

Deadwood and Aardvark Hole Segmentation in Drone Images

Using Mask R-CNN on drone images to detect and segment aardvark holes and dead trees at Kuzikus Wildlife Reserve in Namibia.

Shadow Detection in Machine Learning for Wildlife Management

How classifying the shadows of trees and animals in drone images with machine learning can support wildlife management in the semi-arid savanna.