Year: 2025
Type: article
Abstract: This paper introduces Animal Vision, a system based on AI for the automatic detection and recognition of animals using state-of-the-art deep learning techniques. It focuses its study only on approaches and techniques concerning the identification of wildlife without including results related to system performance. This system integrates object detection architectures like YOLOv5, FCOS, and Cascade R-CNN, together with CNN-based frameworks for species classification. These techniques make it possible to analyze camera-trap images automatically, thereby supporting applications on wildlife conservation, ecological monitoring, and surveillance.
Authors: Dhruv Bisht, Om Tiwari, Dr. Anuj Chandila, Prof. (Dr.) Sanjay Pachauri
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4416572265
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