Loading...
Please wait, while we are loading the content...
Similar Documents
Automatic early detection of wildfire smoke with visible-light cameras and EfficientDet
| Content Provider | SAGE Publishing |
|---|---|
| Author | Fernandes, Armando M. Utkin, Andrei B. Chaves, Paulo |
| Copyright Year | 2023 |
| Abstract | The ability of EfficientDet, a framework developed in 2019 for object detection, to automatically detect smoke plumes at a distance of several kilometers is demonstrated. Recent articles have raised concerns about the effectiveness of EfficientDet in fire detection applications, with over 40% of false positives reported. The proposed EfficientDet model achieved a true detection rate of 80.4% and a false-positive rate of 1.13% on a testing set. The data set used in this study, which includes 14,125 smoke and 21,203 non-smoke images, is one of the largest, or even the largest, of its kind reported in the literature for images containing smoke plumes. Our results surpass those of a previous study that used the same data set and are more reliable and realistic than those reported by others, which may seem better, but were calculated using smaller and less representative data sets. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/07349041231163451?download=true |
| Starting Page | 122 |
| Ending Page | 135 |
| Page Count | 14 |
| ISSN | 07349041 |
| Issue Number | 4 |
| Volume Number | 41 |
| Journal | Journal of Fire Sciences (JFS) |
| e-ISSN | 15308049 |
| DOI | 10.1177/07349041231163451 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2023-04-18 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © The Author(s) 2023 |
| Subject Keyword | machine learning wildfire forest fire Automatic detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mechanics of Materials Safety, Risk, Reliability and Quality Mechanical Engineering |
