Lightweight Convolutional Neural Network for Fire Classification in Surveillance System

Lightweight Convolutional Neural Network for Fire Classification in Surveillance System

Fire is one of the worst disasters for human life. Fire can happen anywhere and the leading cause can be natural or man. Over the last century, scientists have invented sensor-based methods to minimize damage and provide early warning of fires. However, these applications are only applied in a limit...

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Bibliographic Details
Main Authors: Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
fire classification
fire surveillance system
inception module
squeeze and excitation attention module
Online Access:https://ieeexplore.ieee.org/document/10217335/

Internet

https://ieeexplore.ieee.org/document/10217335/

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