Page 197 - Kỷ yếu hội thảo khoa học lần thứ 12 - Công nghệ thông tin và Ứng dụng trong các lĩnh vực (CITA 2023)

Cong Tung Dinh, Thu Huong Nguyen, Huyen Do Thi, Nam Anh Bui 181

Research and Evaluate some Deep Learning Methods to

Detect Forest Fire based on Images from Camera

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3
2
1
Cong Tung Dinh , Thu Huong Nguyen , Huyen Do Thi , Nam Anh Bui
1 University of Transport and Communications
2 East Asia University of Technology
3 High School of Education Sciences, University of Education,
Vietnam National University, Hanoi
huongnt@utc.edu.vn, tungdc@utc.edu.vn,
huyendt@eaut.edu.vn, namanhbui07@gmail.com

Abstract. Forest fires cause great consequences such as ecosystem imbalance,
air quality deterioration, as well as direct impacts on human life. Early detection
of a forest fire can help prevent and prevent the impact of this natural disaster
and have timely remedial methods. Therefore, early forest fire detection is
necessary. To accomplish this, many methods have been proposed and tested.
In recent years, methods based on deep learning techniques with image data
sources have been interesting and applied diversely because they can achieve
optimal efficiency as well as cost savings in actual installation and operation.
However, not all models give highly accurate results. In this paper, we study
and evaluate four popular deep learning models (Xception, Inception-V3,
VGG-19 and ResNet152-V2) that apply to forest fire detection based on images
collected from cameras. With each model, we design deep learning networks to
detect fires. The models were made on the dataset of 1900 images, including
fire and no-fire cases. The experimental results show that all four of the above
deep learning models can be applied to forest fire detection with high accuracy.
In particular, the model using ResNet152-V2 gives the best results, with a fire
detection capacity of 95.53%.

Keywords: Xception, Inception-V3, VGG-19, ResNet152-V2, forest fire
detection.

1 Introduction

Forest fires cause serious damage, are a threat to plants, animals, and humans, and
this natural disaster also has a significant impact on the environment and climate
change. If the fire is not controlled and handled in time, it will cause severe
consequences. Therefore, early detection of Forest fires is an urgent issue. To solve
this, there have been many proposed methods. Some common methods of forest fire
detection can be mentioned as using sensors (temperature sensors, smoke sensors ...)
or via satellite. However, the system uses sensors with major disadvantages in small

ISBN: 978-604-80-8083-9 CITA 2023