Infrared fire image recognition algorithm based on ResNet50 and transfer learning

Xiang-hong Cao; Xiao-yan Shi; Yong-dong Wang

doi:10.1117/12.2681595

1 June 2023 Infrared fire image recognition algorithm based on ResNet50 and transfer learning

Xiang-hong Cao, Xiao-yan Shi, Yong-dong Wang

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127181Q (2023) https://doi.org/10.1117/12.2681595
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

Aiming at the problems of complex feature extraction process and low recognition accuracy of traditional methods in infrared fire image recognition, an infrared fire image recognition algorithm based on ResNet50 and transfer learning was proposed in this paper. Firstly, the infrared fire image was normalized, and the sample was expanded by data enhancement operation. Then, all parameters of ResNet50 convolution layer and pooling layer were frozen by transfer learning method. The top layer network was designed as convolution layer, discard layer, batch standardization layer and full connection layer, and the infrared fire image recognition model was constructed. Several groups of comparative experiments were carried out with CNN, VGG16, ResNet101 and ResNet152. The experimental results show that the algorithm was proposed in this paper had a recognition accuracy of 99.63% on the infrared fire image test set, which was much higher than other algorithms. The recognition rate on the visible light fire data set was almost close to 99.82%. The effectiveness of the proposed algorithm in infrared fire image recognition had been verified.

Citation Download Citation

Xiang-hong Cao, Xiao-yan Shi, and Yong-dong Wang "Infrared fire image recognition algorithm based on ResNet50 and transfer learning", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127181Q (1 June 2023); https://doi.org/10.1117/12.2681595

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Fire

Infrared radiation

Infrared imaging

Detection and tracking algorithms

Thermography

Neural networks

Visible radiation

Keywords/Phrases

Search In:

Publication Years