Results 11 to 20 of about 66,888 (211)

Deep Convolutional Generative Adversarial Network and Convolutional Neural Network for Smoke Detection

Complexity, 2020
Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. Detecting smoke in actual scenes is still a challenging task due to large variance of smoke color, texture, and shapes ...
Hang Yin, Yurong Wei, Hedan Liu, Shuangyin Liu, Chuanyun Liu, Yacui Gao   +5 more
doaj   +1 more source

RepVGG-YOLOv7: A Modified YOLOv7 for Fire Smoke Detection

Fire, 2023
To further improve the detection of smoke and small target smoke in complex backgrounds, a novel smoke detection model called RepVGG-YOLOv7 is proposed in this paper.
Xin Chen, Yipeng Xue, Qingshan Hou, Yan Fu, Yaolin Zhu   +4 more
doaj   +1 more source

Adversarial Adaptation From Synthesis to Reality in Fast Detector for Smoke Detection

IEEE Access, 2019
Video smoke detection is a promising method for early fire prevention. However, it is still a challenging task for application of video smoke detection in real-world detection systems, as the limitations of smoke image samples for training and lack of ...
Gao Xu, Qixing Zhang, Dongcai Liu, Gaohua Lin, Jinjun Wang, Yongming Zhang   +5 more
doaj   +1 more source

СONSTRUCTION AND THE ALGORITHM OPERATION OF THE LASER COMBINED FIRE DETECTOR

Приборы и методы измерений, 2017
The point optical smoke detector is currently the most effective means of fire detection at the early stage of its occurrence. The urgent task for this type of detector is to increase its sensitivity to «black» smoke and ensure resilience to the effects ...
A. I. Kitsak, A. P. Lushchyk, D. L. Esipovich, V. N. Konon, I. V. Kavalchyk, O. A. Protasevich, I. B. Tretyak   +6 more
doaj   +1 more source

Spatial–Temporal Attention Two-Stream Convolution Neural Network for Smoke Region Detection

Fire, 2021
Smoke detection is of great significance for fire location and fire behavior analysis in a fire video surveillance system. Smoke image classification methods based on a deep convolution network have achieved high accuracy.
Zhipeng Ding, Yaqin Zhao, Ao Li, Zhaoxiang Zheng   +3 more
doaj   +1 more source

LiDAR-Based Smoke Detection for Large-Volume Spaces: Feasibility Analysis and Algorithm Implementation

Fire
Aiming at the inherent bottlenecks of traditional smoke detection technologies in high and large-volume building scenarios, this paper conducts research on an early fire smoke detection method for high and large-volume spaces based on Light Detection and
Xi Zhang, Boning Li, Li Wang, Chunyu Yu, Xiaoxu Li   +4 more
doaj   +1 more source

Features for detecting smoke in laparoscopic videos

Current Directions in Biomedical Engineering, 2017
Video-based smoke detection in laparoscopic surgery has different potential applications, such as the automatic addressing of surgical events associated with the electrocauterization task and the development of automatic smoke removal. In the literature,
Jalal Nour Aldeen, Alshirbaji Tamer Abdulbaki, Mündermann Lars, Möller Knut   +3 more
doaj   +1 more source

An Early Fire Detection Algorithm Using IP Cameras

Sensors, 2012
The presence of smoke is the first symptom of fire; therefore to achieve early fire detection, accurate and quick estimation of the presence of smoke is very important.
Hector Perez-Meana, Gabriel Sanchez-Perez, Luis Rojas-Cardenas, Karina Toscano-Medina, Leonardo Millan-Garcia, Mariko Nakano   +5 more
doaj   +1 more source

Early Wildfire Smoke Detection Using Different YOLO Models

Machines, 2023
Forest fires are a serious ecological concern, and smoke is an early warning indicator. Early smoke images barely capture a tiny portion of the total smoke.
Yazan Al-Smadi, Mohammad Alauthman, Ahmad Al-Qerem, Amjad Aldweesh, Ruzayn Quaddoura, Faisal Aburub, Khalid Mansour, Tareq Alhmiedat   +7 more
doaj   +1 more source

Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model

Remote Sensing, 2022
Smoke plumes are the first things seen from space when wildfires occur. Thus, fire smoke detection is important for early fire detection. Deep Learning (DL) models have been used to detect fire smoke in satellite imagery for fire detection.
Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Simon Oliver, Norman Mueller   +5 more
doaj   +1 more source