Advanced Wildlife Monitoring with Computer Vision and Thermal Imaging: Tracking Species Behavior and Population Dynamics in Low-Visibility Environments

Overview

This project utilizes advanced computer vision (CV) systems and thermal imaging to monitor wildlife, providing insights into species behaviors, movement patterns, and interactions. Effective in low-light conditions where traditional methods fall short, the project aims to identify species, track populations of larger mammals and reptiles, and understand habitat use. Methodologically, CV cameras will be strategically deployed to capture data, which will be transmitted to the cloud for analysis using AI algorithms. Expected outcomes include enhanced monitoring of nocturnal and elusive species, as well as valuable data to support conservation and habitat management efforts, ultimately improving our understanding of wildlife interactions and the impacts of human activities.

Research Overview

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