TropiCam-AI: New AI Model Monitors Tree-Dwelling Species

Researchers have developed TropiCam-AI, a deep-learning model designed to identify wildlife living in the forest canopy ^[1]. The tool focuses on Neotropical forests, where it can identify 84 different taxa of mammals and birds ^[1][3]. Most existing wildlife AI models focus on ground-level data, often overlooking species that live primarily in trees ^[1][2].

The new system achieves a high identification accuracy of 95% using data collected from camera traps ^[2]. By automating the analysis of these images, TropiCam-AI aims to fill a critical gap in biodiversity monitoring ^[1][2]. This project represents a significant advancement for conservation efforts in complex tropical environments ^[3].