[HTML][HTML] Deep learning based fire risk detection on construction sites

H Ann, KY Koo - Sensors, 2023 - mdpi.com
The recent large-scale fire incidents on construction sites in South Korea have highlighted
the need for computer vision technology to detect fire risks before an actual occurrence of …

[HTML][HTML] A YOLOv6-based improved fire detection approach for smart city environments

S Norkobil Saydirasulovich, A Abdusalomov, MK Jamil… - Sensors, 2023 - mdpi.com
Authorities and policymakers in Korea have recently prioritized improving fire prevention
and emergency response. Governments seek to enhance community safety for residents by …

[HTML][HTML] 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 …

An improved YOLOv3-tiny method for fire detection in the construction industry

J Li, S Guo, L Kong, S Tan, Y Yuan - E3S Web of Conferences, 2021 - e3s-conferences.org
To prevent fire accidents on construction site and improve the accuracy of fire detection, an
improved YOLOv3-tiny method (I-YOLOv3-tiny) is proposed in this paper. Although the …

Development of fire detection model for underground utility facilities using deep learning: Training data supplement and bias optimization

J Kim, CW Lee, SH Park, JH Lee… - Journal of the Korea …, 2020 - koreascience.kr
Fire is difficult to achieve good performance in image detection using deep learning
because of its high irregularity. In particular, there is little data on fire detection in …

Multiple-Scale Fire Detection Based on One-Stage Deep Learning Model

I Lee, Y Lo, D Kang, H Park… - … Conference on Electronics …, 2022 - ieeexplore.ieee.org
Automatic fire detection study is very important to prevent the risk of fire. Recently, most of
fire detection systems are included in unmanned surveillance system instead of using …

Comprehensive Survey on Fire Detection with Machine Learning and Deep Learning Models

G Shankar, M Kalaiselvi Geetha - Computer Networks and Inventive …, 2022 - Springer
Fire is an unpredictable dangerous event to the environment and the public. It may cause
human and non-human belongings very rigorously. In recent days, many unpredictable …

A Lightweight Deep Learning Model for Forest Fires Detection and Monitoring

M Yandouzi, I Idrissi, M Boukabous, M Grari… - … and Renewable Energy …, 2022 - Springer
Forests play a critical role in our everyday lives, they provide us with fresh air and clean
water and are home to a variety of plants and animals. Forests are also an important source …

An improved yolov5s fire detection model

Z Dou, H Zhou, Z Liu, Y Hu, P Wang, J Zhang, Q Wang… - Fire Technology, 2024 - Springer
It is well-established that contact fire sensors are susceptible to interference from non-fire
particles and cannot be applied to fire alarms in both large indoor and outdoor open spaces …

[HTML][HTML] Accuracy Assessment of Drone Real-Time Open Burning Imagery Detection for Early Wildfire Surveillance

S Duangsuwan, K Klubsuwan - Forests, 2023 - mdpi.com
Open burning is the main factor contributing to the occurrence of wildfires in Thailand, which
every year result in forest fires and air pollution. Open burning has become the natural …