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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: June 2022

Volume 7 | Issue 6

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Paper Title: Virtual Reality Video Image Based Fire Detection And Recognition System
Authors Name: Miss. Pardeshi Sanjana , Miss. Sansare Mansi , Miss.Badwar Hrutika , Miss. Chavan Shraddha , Prof. Patil P.A.
Unique Id: IJSDR2205039
Published In: Volume 7 Issue 5, May-2022
Abstract: Fire detection technology based on video images can avoid many flaws in conventional methods and detect fires. To achieve this, the support vector machine (SVM) method in machine learning theory has unique advantages, while rough set (RS) theory and SVM complement each other in application. Thus, a new classifier could be created by organically combining these methods to identify fires and provide fire warnings, yielding excellent noise suppression and promotion. Therefore, in this study, an RS is used as the front-end system for the SVM method, yielding improved performance than only SVM. Recognition time is reduced, and recognition efficiency is improved. Experiments show that the RS-SVM classifier model based on parameter optimization proposed in this paper mitigates deficiencies in overfitting and determining local extremum with excellent reliability and stability, and enhances the forecast accuracy of fires.
Keywords: SVM algorithm, Machine learning
Cite Article: "Virtual Reality Video Image Based Fire Detection And Recognition System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 5, page no.202 - 206, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2205039.pdf
Downloads: 00096794
Publication Details: Published Paper ID: IJSDR2205039
Registration ID:200336
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 202 - 206
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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