HEFCW ODA

Ensemble Models for Camera Trap Image Classification (2024)

(2024)

Wildlife Computer Vision

Internet of Things (IoT) Infrastructure / Systems (IS) Data Science (DS) Human-Computer Interaction (HCI)

Project Overview

This project develops a multi-model AI system to accurately identify and count wildlife in camera trap images.

CamTrap.AI accelerates biodiversity monitoring by automating camera trap image analysis. The project delivers pipelines, models, and supporting tools to classify species, detect activity, and streamline conservation reporting.

CamTrap.AI Team