Fire detection in ship engine rooms based on deep learning

J Zhu, J Zhang, Y Wang, Y Ge, Z Zhang, S Zhang - Sensors, 2023 - mdpi.com
Ship fires are one of the main factors that endanger the safety of ships; because the ship is
far away from land, the fire can be difficult to extinguish and could often cause huge losses …

Ship-Fire net: an improved YOLOv8 algorithm for ship fire detection

Z Zhang, L Tan, RLK Tiong - Sensors, 2024 - mdpi.com
Ship fire may result in significant damage to its structure and large economic loss. Hence,
the prompt identification of fires is essential in order to provide prompt reactions and …

Ship fire detection based on an improved YOLO algorithm with a lightweight convolutional neural network model

H Wu, Y Hu, W Wang, X Mei, J Xian - Sensors, 2022 - mdpi.com
Ship fire is one of the greatest dangers to ship navigation safety. Nevertheless, typical
detection methods have limited detection effectiveness and accuracy due to distance …

An improved multi-scale fire detection method based on convolutional neural network

H Hongyu, K Ping, F Li, S Huaxin - 2020 17th International …, 2020 - ieeexplore.ieee.org
Fire is a major disaster in the world, and the fire detection system should accurately detect
the fire in the shortest time to reduce economic loss and ecological damage. Traditional …

Real-time video fire detection via modified YOLOv5 network model

Z Wu, R Xue, H Li - Fire Technology, 2022 - Springer
Accidental fire outbreak threatens people's life and property safety, and it is of great
significance to study fire detection and alarm early. The detection range of traditional fire …

Forest fire detection based on lightweight Yolo

S Wang, T Chen, X Lv, J Zhao, X Zou… - 2021 33rd Chinese …, 2021 - ieeexplore.ieee.org
Early fire detection is quite important to fighting of forest fire. A lightweight YOLO forest fire
detection model is proposed in this study. First, the YOLOv4 object detection model is …

FFYOLO: A Lightweight Forest Fire Detection Model Based on YOLOv8

B Yun, Y Zheng, Z Lin, T Li - Fire, 2024 - mdpi.com
Forest is an important resource for human survival, and forest fires are a serious threat to
forest protection. Therefore, the early detection of fire and smoke is particularly important …

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 …

Fire detection algorithm based on improved yolov5

J Miao, G Zhao, Y Gao, Y Wen - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Aiming at the problems of low accuracy and slow speeding of manual and sensor detection
in existing farm fire detection. This paper proposed a real-time fire detection algorithm based …

A robust fire detection model via convolution neural networks for intelligent robot vision sensing

Q An, X Chen, J Zhang, R Shi, Y Yang, W Huang - Sensors, 2022 - mdpi.com
Accurate fire identification can help to control fires. Traditional fire detection methods are
mainly based on temperature or smoke detectors. These detectors are susceptible to …