Opto-Electronic Engineering, Volume. 52, Issue 1, 240253(2025)
Image-based aerial fire detector based on cross-scale fusion
Figures & Tables(17)
Fig. 2. Overall structure of the image-based aviation fire detector hardware
Fig. 5. Visual interface. (a) Multi-sensor parallel display; (b) Flame bomb diagram alarm and text prompt; (c) Smoke grenade map alarm and text prompt
Fig. 10. Structure of the GS bottleneck module and VoV-GSCSP module. (a) GS bottleneck module structure; (b) VoV-GSCSP module structure
Fig. 12. Schematic diagram of the test environment. (a) Large-scale high-altitude environment simulation device; (b) In-cabin test environment
Table 1. Implementation results of the fire detection network ablation
View tableView in ArticleTable 1. Implementation results of the fire detection network ablation
Model GhostNet Coordinated attention Lightweight feature fusion network Slim-ASFF Loss function AP50 /% AP /% Params/M FLOPs/G YOLOv5s 89.4 47.9 7.1 16.5 The model of this article √ 86.8 45.0 5.0 10.6 √ √ 87.4 45.7 5.0 10.7 √ √ √ 88.5 46.9 4.2 8.5 √ √ √ √ 90.1 48.6 4.4 8.9 √ √ √ √ √ 91.4 50.1 4.4 8.9
Table 2. Comparative experimental results of lightweight object detection networks
View tableView in ArticleTable 2. Comparative experimental results of lightweight object detection networks
Model AP50/% AP/% Params/M FLOPs/G YOLOv6s[ 16 ]90.2 49.1 18.5 45.3 YOLOv7-tiny[ 17 ]89.2 48.8 6.0 13.2 YOLOv8s 90.7 49.5 11.2 28.6 SSDLite[ 18 ]85.8 44.6 4.3 9.6 EfficientDet-D1[ 19 ]87.6 46.1 6.6 6.2 YOLOv9-T[ 20 ]89.6 49.0 2.7 11.0 YOLOv10-N[ 21 ]88.4 47.6 2.3 6.4 RT-DETR-Res18[ 22 ]89.6 49.2 20.0 60.5 The model of this article 91.4 50.1 4.4 8.9
Table 3. Average response time of system to fireworks under different working conditions
View tableView in ArticleTable 3. Average response time of system to fireworks under different working conditions
Test environment Project 2 m 3 m 4 m / Number of tests 30 30 30 / Alarm times 30 30 30 Bright environment Polyurethane foam board (fire)/s 5.2 6.8 7.8 Cotton rope (fire)/s 5.0 6.5 7.4 Smoke cake (smoke)/s 11.0 13.0 17.0 Dark environment Polyurethane foam board (fire)/s 6.3 7.4 8.3 Cotton rope (fire)/s 5.5 6.9 7.8 Smoke cake (smoke)/s 12.0 15.0 19.0
Table 4. Experimental results of the detector in this paper compared with the traditional fire detector
View tableView in ArticleTable 4. Experimental results of the detector in this paper compared with the traditional fire detector
Test materials Number of trials Number of detector alarms in this paper Number of alarms from traditional fire detectors The slowest response time of the detector in this paper/s The slowest response time of traditional fire detectors/s The average response time of the detector in this paper/s The average response time of traditional fire detector/s Polyurethane foam board (fire) 10 10 5 9.0 108 6.5 97 Smoke cake (smoke) 10 10 7 16.5 57 12.0 45
Table 5. False alarm rate of detector under the influence of different environmental light
View tableView in ArticleTable 5. False alarm rate of detector under the influence of different environmental light
Project Interference source 1 Interference source 2 Interference source 3 Number of tests 30 30 30 False alarm rate 0 0 0
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Pei Zhang, Hengying Ren, Jiaqi Tian, Tong Chen, Weiwei Yan, Wei Zhang. Image-based aerial fire detector based on cross-scale fusion[J]. Opto-Electronic Engineering, 2025, 52(1): 240253
Paper Information
Category: Article
Received: Oct. 27, 2024
Accepted: Dec. 23, 2024
Published Online: Feb. 21, 2025
The Author Email: Ren Hengying (任恒英)
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