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Call for Papers:Vol.11 Issue.3

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Title: :  Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications
PaperId: :  20472
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20472
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Navthar Adesh DamodharHSBPVTs COE, Kashti
Gaikwad Ganesh ArunHSBPVTs COE, Kashti
Wagh Shubham BaluHSBPVTs COE, Kashti
Jadhav Kartik SunilHSBPVTs COE, Kashti
Prof. Suryawanshi A. P.HSBPVTs COE, Kashti

Abstract

Computer Engineering
Computer Vision, Fire detection, Video Recognisation, and CCTV Surveillance System, Flame detection: fire video.
For reducing the loss of life and various industries from fire, an early warning is an important. Accidents caused by undiscovered fires have cost the globe a lot of money. The demand for effective fire detection systems is on the rise. Because of the system\'s inefficiency, existing fire and smoke detectors are failing. Analyzing live camera data allows for real-time fire detection. The fire flame features are investigated, and the fire is recognized using edge detection and thresholding methods, resulting in the creation of a fire detected model. It detects hazardous fires identified on the size, velocity, volume and the texture. In this paper we are proposing an emerging fire detection system based on Convolutional Neural Network. The model\'s experimental results on our dataset reveal that it has good fire detection capability and ability of detecting multi-scale fire in real-time

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IJARIIE Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. "Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 2356-2363
MLA Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. "Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 2356-2363.
APA Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, & Prof. Suryawanshi A. P.. (2023). Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 2356-2363.
Chicago Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. "Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 2356-2363.
Oxford Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. 'Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 2356-2363. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Efficient_Deep_CNN_Based_Fire_Detection_and_Localization_in_Video_Surveillance_Applications_ijariie20472.pdf (Accessed : 23 February 2024).
Harvard Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. (2023) 'Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 2356-2363IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Efficient_Deep_CNN_Based_Fire_Detection_and_Localization_in_Video_Surveillance_Applications_ijariie20472.pdf (Accessed : 23 February 2024)
IEEE Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P., "Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 2356-2363, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Efficient_Deep_CNN_Based_Fire_Detection_and_Localization_in_Video_Surveillance_Applications_ijariie20472.pdf [Accessed : 23 February 2024].
Turabian Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. "Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (23 February 2024).
Vancouver Navthar Adesh Damodhar, Gaikwad Ganesh Arun, Wagh Shubham Balu, Jadhav Kartik Sunil, and Prof. Suryawanshi A. P.. Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 23 February 2024]; 9(3) : 2356-2363. Available from: https://ijariie.com/AdminUploadPdf/Efficient_Deep_CNN_Based_Fire_Detection_and_Localization_in_Video_Surveillance_Applications_ijariie20472.pdf
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