The results indicate, that in general, increased air velocity lengthened the onset of smoke and flaming ignition, increased the fire intensity, but decreased ...
An Improved Fire and Smoke Detection Method Based on YOLOv7
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This approach incorporates partial convolutional layers into the E-ELAN module of the YOLOv7 network, enabling faster and more precise identification of ...
To better help smart factories monitor fire disasters, this paper proposes an improved fire and smoke detection method based on YOLOv8n. To ensure the quality ...
Feb 24, 2024 · We developed a highly accurate algorithm named YOLOFM. We utilized LabelImg software to manually label a dataset containing 18644 images, named FM-VOC Dataset ...
To balance accuracy and parameter efficiency in forest fire detection, this study proposes an improved model, Mcan-YOLO, based on YOLOv7. In the Neck section, ...
Jul 24, 2024 · Training YOLOv7 may lead to overfitting because of the large number of parameters and the limited fire detection object categories. YOLOv7 ...
6 days ago · The experimental results showed that, compared to YOLOv7-tiny, Mcan-YOLO improved precision by 4.6%, recall by 6.5%, and mAP50 by 4.7%, while ...
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Abstract. An improved forest fire detection algorithm based on the You Only Look Once v7 (YOLOv7) is proposed in this paper to address the poor accuracy and ...
Duration: 4:02
Posted: Feb 12, 2024
Posted: Feb 12, 2024
Introducing an improved flame detection method based on YOLOv7. This method offers higher accuracy, real-time detection, and faster speed.