INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This article discuss about the usage of artificial intelligence in the conserving wild life via detecting the wild fire occurrence using improved version of YOLO model.The YOLOv5 deep learning model for fire detection is investigated in this work. Rapid fire and smoke identification is made possible by the framework's efficient analysis of photos at a resolution of 416x416 pixels using a single neural network. We study how well YOLOv5 detects items that resemble fire in a variety of settings, such as indoor and outdoor spaces, different types of lighting, and even small-scale fires. The suggested approach's potential for real-time fire detection applications ,which also highlights its excellent balance of speed and accuracy.
Keywords:
YOLO, YOLOv5.
Cite Article:
"AI For Wild Life Conservation Wild-Fire detection using YOLOv5 Model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g144-g147, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404614.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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