A survey on vision-based outdoor smoke detection techniques for environmental safety

S Chaturvedi, P Khanna, A Ojha - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
Early stage smoke detection using image and video analysis is an important area of
research due to its enormous applications in mitigating fire hazards and ensuring …

[HTML][HTML] Image fire detection algorithms based on convolutional neural networks

P Li, W Zhao - Case Studies in Thermal Engineering, 2020 - Elsevier
As a new fire detection technology, image fire detection has recently played a crucial role in
reducing fire losses by alarming users early through early fire detection. Image fire detection …

Fire detection method in smart city environments using a deep-learning-based approach

K Avazov, M Mukhiddinov, F Makhmudov, YI Cho - Electronics, 2021 - mdpi.com
In the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …

A smoke detection model based on improved YOLOv5

Z Wang, L Wu, T Li, P Shi - Mathematics, 2022 - mdpi.com
Fast and accurate smoke detection is very important for reducing fire damage. Due to the
complexity and changeable nature of smoke scenes, existing smoke detection technology …

Efficient attention based deep fusion CNN for smoke detection in fog environment

L He, X Gong, S Zhang, L Wang, F Li - Neurocomputing, 2021 - Elsevier
Smoke detection based on video monitoring is of great importance for early fire warning.
However, most of the smoke detection methods based on neural network only consider the …

An improved wildfire smoke detection based on YOLOv8 and UAV images

SN Saydirasulovich, M Mukhiddinov, O Djuraev… - Sensors, 2023 - mdpi.com
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the
smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing …

Preliminary results from a wildfire detection system using deep learning on remote camera images

K Govil, ML Welch, JT Ball, CR Pennypacker - Remote Sensing, 2020 - mdpi.com
Pioneering networks of cameras that can search for wildland fire signatures have been in
development for some years (High Performance Wireless Research & Education Network …

White blood cell classification and counting using convolutional neural network

MJ Macawile, VV Quiñones, A Ballado… - … on control and …, 2018 - ieeexplore.ieee.org
Establishing an accurate count and classification of leukocytes commonly known as WBC
(white blood cells) is crucial in the assessment and detection of illness of an individual …

Real-time forest fire detection by ensemble lightweight YOLOX-L and defogging method

J Huang, Z He, Y Guan, H Zhang - Sensors, 2023 - mdpi.com
Forest fires can destroy forest and inflict great damage to the ecosystem. Fortunately, forest
fire detection with video has achieved remarkable results in enabling timely and accurate …

Convolutional neural network and its pretrained models for image classification and object detection: A survey

B Jena, GK Nayak, S Saxena - Concurrency and Computation …, 2022 - Wiley Online Library
At present, in the age of computers and automation of services, deep learning (DL)
technology, mainly the subset of machine learning (ML) and artificial intelligence (AI), is …