A Novel Lightweight CNN Model for Real-Time Video Fire Smoke Detection

Author:

K Sudhakar1,T Avanthika1,J Visali1,S Nivithaa1

Affiliation:

1. M. Kumarasamy College Of Engineering,Department of Electronics and Communication Engineering,Karur,Tamilnadu

Publisher

IEEE

Reference25 articles.

1. Forest fire monitoring method and application based on remote sensing data;yue;M S thesis,2019

2. Real-time monitoring and early warning of grassland fire based on geostationary meteorological satellite;ri;M S thesis,2020

3. A self-adaptive algorithm based on AVHRR multitemporal data analysis for small active fire detection

4. A self-adaptive algorithm based on AVHRR multitemporal data analysis for small active fire detection

5. Interannual changes of active fire detectability in North America from long-term records of the advanced very high resolution radiometer

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city;Environmental Science and Pollution Research;2024-01-27

2. A Survey of Deep Learning Methods for Vision-Based Fire Detection and Localization;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

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