Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
Falls pose a significant risk to elderly people, patients with diseases such as neurological
disorders, cardiovascular diseases, and disabled children. This highlights the need for real …
disorders, cardiovascular diseases, and disabled children. This highlights the need for real …
[HTML][HTML] Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning
Fire detection and extinguishing systems are critical for safeguarding lives and minimizing
property damage. These systems are especially vital in combating forest fires. In recent …
property damage. These systems are especially vital in combating forest fires. In recent …
[HTML][HTML] Esfd-yolov8n: early smoke and fire detection method based on an improved yolov8n model
D Mamadaliev, PLM Touko, JH Kim, SC Kim - Fire, 2024 - mdpi.com
Ensuring fire safety is essential to protect life and property, but modern infrastructure and
complex settings require advanced fire detection methods. Traditional object detection …
complex settings require advanced fire detection methods. Traditional object detection …
Fsh-detr: An efficient end-to-end fire smoke and human detection based on a deformable detection transformer (detr)
T Liang, G Zeng - Sensors, 2024 - mdpi.com
Fire is a significant security threat that can lead to casualties, property damage, and
environmental damage. Despite the availability of object-detection algorithms, challenges …
environmental damage. Despite the availability of object-detection algorithms, challenges …
[HTML][HTML] Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques
In this study, a novel method combining contour analysis with deep CNN is applied for fire
detection. The method was made for fire detection using two main algorithms: one which …
detection. The method was made for fire detection using two main algorithms: one which …
Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection
Ship fire detection presents significant challenges in computer vision-based approaches
due to factors such as the considerable distances from which ships must be detected and …
due to factors such as the considerable distances from which ships must be detected and …
[HTML][HTML] Early Poplar (Populus) Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique
Poplar (Populus) trees play a vital role in various industries and in environmental
sustainability. They are widely used for paper production, timber, and as windbreaks, in …
sustainability. They are widely used for paper production, timber, and as windbreaks, in …
A forest fire recognition method based on modified deep CNN model
S Zheng, X Zou, P Gao, Q Zhang, F Hu, Y Zhou, Z Wu… - Forests, 2024 - mdpi.com
Controlling and extinguishing spreading forest fires is a challenging task that often leads to
irreversible losses. Moreover, large-scale forest fires generate smoke and dust, causing …
irreversible losses. Moreover, large-scale forest fires generate smoke and dust, causing …
Robust Forest Fire Detection Method for Surveillance Systems Based on You Only Look Once Version 8 and Transfer Learning Approaches
Forest fires have emerged as a significant global concern, exacerbated by both global
warming and the expanding human population. Several adverse outcomes can result from …
warming and the expanding human population. Several adverse outcomes can result from …
[HTML][HTML] Smoke Detection Transformer: An Improved Real-Time Detection Transformer Smoke Detection Model for Early Fire Warning
B Sun, X Cheng - Fire, 2024 - mdpi.com
As one of the important features in the early stage of fires, the detection of smoke can
provide a faster early warning of a fire, thus suppressing the spread of the fire in time …
provide a faster early warning of a fire, thus suppressing the spread of the fire in time …