An Embedded Portable Lightweight Platform for Real-Time Early Smoke Detection [PDF]
Sensors, 2022 The advances in developing more accurate and fast smoke detection algorithms increase the need for computation in smoke detection, which demands the involvement of personal computers or workstations.
Bowen Liu +3 more
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Video Smoke Detection Method Based on Change-Cumulative Image and Fusion Deep Network [PDF]
Sensors, 2019 Smoke detection technology based on computer vision is a popular research direction in fire detection. This technology is widely used in outdoor fire detection fields (e.g., forest fire detection). Smoke detection is often based on features such as color,
Tong Liu +6 more
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Semi-supervised wildfire smoke detection based on smoke-aware consistency [PDF]
Frontiers in Plant Science, 2022 The semi-transparency property of smoke integrates it highly with the background contextual information in the image, which results in great visual differences in different areas.
Chuansheng Wang +5 more
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LRM-YOLO: A Lightweight YOLOv10n-Based Model for Forest Fire Smoke Detection in UAV Images [PDF]
SensorsIn recent years, unmanned aerial vehicles (UAVs) have gradually become an important tool for forest fire monitoring due to their flexibility and wide-area observation capability.
Yong Liu +3 more
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Real-time factory smoke detection based on two-stage relation-guided algorithm [PDF]
Scientific Reports, 2022 Recently, air quality analysis based on image sensing devices has attracted much attention. Since most smoke images in real scenes have challenging variances, which is difficult for existing object detection methods. To keep real-time factory smoke under
Zhenyu Wang, Duokun Yin, Senrong Ji
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Light-Weight Student LSTM for Real-Time Wildfire Smoke Detection [PDF]
Sensors, 2020 As the need for wildfire detection increases, research on wildfire smoke detection combining low-cost cameras and deep learning technology is increasing.
Mira Jeong +3 more
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LED array-based multi-angle light scattering for aspirating smoke detection and classification [PDF]
Scientific ReportsAlthough smoke detectors are actively being studied to reduce false fire alarms, they still face challenging issues such as complex and elaborate alignment, high cost, large size, and poor performance. In particular, most smoke detection systems based on
Soocheol Kim +6 more
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Full-Scale Fire Smoke Root Detection Based on Connected Particles
Sensors, 2022 Smoke is an early visual phenomenon of forest fires, and the timely detection of smoke is of great significance for early warning systems. However, most existing smoke detection algorithms have varying levels of accuracy over different distances.
Xuhong Feng +3 more
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Generating Realistic Smoke Images With Controllable Smoke Components
IEEE Access, 2020 Smoke image generation is an important method to solve sample categories imbalance in smoke detection with applications to forest smoke detection, smoky vehicles detection, etc.
Chao Xie, Huanjie Tao
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Real-Time Detection of Full-Scale Forest Fire Smoke Based on Deep Convolution Neural Network
Remote Sensing, 2022 To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in real time so that early and timely warning can be issued.
Xin Zheng +4 more
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