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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Deep Learning - Based Fire and Smoke Detection System with MobileNet Architecture |
| Authors Name: | Shruti Kolte , Anurag Mahakalkar , Shreyash Arghode , Geyesh Barsagade , Abhishek Kongare |
| Unique Id: | IJSDR2404064 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Wildfires, or similar events in other places, are among the most common yet unfavorable occurrences brought on by climate change and rising temperatures. Thus, sophisticated yet user-friendly systems are required, ones that at the very least make it possible to employ modern tools and solutions efficiently. In order to guarantee the security and safety of diverse settings, fire and smoke detection are essential jobs. In this research, we use deep learning techniques to propose a comprehensive solution for smoke and fire detection. The project is being developed in Python, making use of the MobileNet architecture's potent capabilities. Accurately identifying fire and smoke instances in many scenarios—including pictures, videos, and real-time webcam feeds—is the primary goal of this study. The excellent accuracy shows that the model can reliably detect fire, smoke, and typical occurrences in a variety of scenarios. The suggested solution offers real-time analysis of photos, videos, and live webcam feeds in addition to multipurpose detection. This adaptability guarantees that the solution may be applied to a variety of situations, including emergency response management, fire alarm systems, and surveillance systems. |
| Keywords: | Convolutional Neural network, Deep Learning, Image Classification, Fire Detection, MobileNet Architecture. |
| Cite Article: | "Deep Learning - Based Fire and Smoke Detection System with MobileNet Architecture", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.419 - 424, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404064.pdf |
| Downloads: | 000338173 |
| Publication Details: | Published Paper ID: IJSDR2404064 Registration ID:210732 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 419 - 424 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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