Early fire smoke detection model based on YOLOv5

MingKun Tao; Yang Li; ShaoPeng Li; Hao Zhuang; Ling Li

doi:10.1117/12.2642639

28 July 2022 Early fire smoke detection model based on YOLOv5

MingKun Tao, Yang Li, ShaoPeng Li, Hao Zhuang, Ling Li

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 1230329 (2022) https://doi.org/10.1117/12.2642639
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

Aiming at the low detection accuracy of existing fire early smoke target detection models, this paper designs a fire early fire smoke detection model based on YOLOv5. First, check the data to understand the fire-prone scenes and divide them into two categories: indoor and outdoor; Second, according to different scenes, considering the influence of environmental factors such as light and scale, manually collect and label the smoke pictures in the early stage of the fire; Third, The Focal Loss loss function is used instead to alleviate the problem of unbalanced classification in the data set. Experiments on the self-made early fire smoke dataset show that the improved network mAP value is 2.3% higher than that of YOLOv5. The experimental results verify the effectiveness of the algorithm.

Citation Download Citation

MingKun Tao, Yang Li, ShaoPeng Li, Hao Zhuang, and Ling Li "Early fire smoke detection model based on YOLOv5", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 1230329 (28 July 2022); https://doi.org/10.1117/12.2642639

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Detection and tracking algorithms

Flame detectors

Target detection

Environmental sensing

Data modeling

Lithium

Performance modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years