Home / Current Issue / Paper 1712156
Animal Recognition and Identification Using AI
Subject area: Science,Engineering and Technology · Area of research: Image Processing
DOI: https://doi.org/10.64388/IREV9I5-1712156
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.
Keywords
Artificial Intelligence, Deep Learning, YOLOv5, FCOS, Cascade R-CNN, CNN, Animal Identification
How to cite this paper
@article{1712156,
author = {Dhruv Bisht, Om Tiwari, Dr. Anuj Chandila, Prof. (Dr.) Sanjay Pachauri},
title = {Animal Recognition and Identification Using AI},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {5},
pages = {1433-1434},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712156.pdf},
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.},
keywords = {Artificial Intelligence, Deep Learning, YOLOv5, FCOS, Cascade R-CNN, CNN, Animal Identification},
month = {November},
doi = {https://doi.org/10.64388/IREV9I5-1712156}
}