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)
- In this paper, we propose an inventive system for detecting fire using You Only Look Once (YOLO) and Computer Vision (OpenCV). Detecting a fire using present and conventional techniques of smoke sensors installed can be extremely difficult. Because of their primitive design and technology, they are slow and inefficient. This paper examines the scope of Computer Vision and Object Detection for detection and alerting with video from sources such as images videos from live feed or CCTV. This project makes use of a self-created dataset containing video frames with fire. The data is then preprocessed before being used to build a machine learning model with YOLO. The dataset's test set is provided as input for validating the algorithm, and experiments are recorded. The project's goal is to create a low-cost, high-accuracy machine that can be used in almost any real-time fire detection application.
"Forest Fire Detection Using Satellite Imagery", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b709-b715, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305193.pdf
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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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