Improved real-time fire warning system based on advanced technologies for visually impaired people

AB Abdusalomov, M Mukhiddinov, A Kutlimuratov… - Sensors, 2022 - mdpi.com
Early fire detection and notification techniques provide fire prevention and safety information
to blind and visually impaired (BVI) people within a short period of time in emergency …

Automatic fire detection and notification system based on improved YOLOv4 for the blind and visually impaired

M Mukhiddinov, AB Abdusalomov, J Cho - Sensors, 2022 - mdpi.com
The growing aging population suffers from high levels of vision and cognitive impairment,
often resulting in a loss of independence. Such individuals must perform crucial everyday …

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 …

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 …

A modified YOLOv5 architecture for efficient fire detection in smart cities

H Yar, ZA Khan, FUM Ullah, W Ullah… - Expert Systems with …, 2023 - Elsevier
Fire disasters are considered to be among the most harmful hazards, causing fatalities,
ecological and economic chaos, property damage, and they can even impact climate …

[Retracted] Swin‐YOLOv5: Research and Application of Fire and Smoke Detection Algorithm Based on YOLOv5

SG Zhang, F Zhang, Y Ding, Y Li - Computational intelligence …, 2022 - Wiley Online Library
Accurate monitoring of fire and smoke plays an irreplaceable role in preventing fires and
safeguarding the safety of citizens' lives and property. The network structure of YOLOv5 is …

An improvement of the fire detection and classification method using YOLOv3 for surveillance systems

A Abdusalomov, N Baratov, A Kutlimuratov… - Sensors, 2021 - mdpi.com
Currently, sensor-based systems for fire detection are widely used worldwide. Further
research has shown that camera-based fire detection systems achieve much better results …

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 …

An improved fire detection approach based on YOLO-v8 for smart cities

FM Talaat, H ZainEldin - Neural Computing and Applications, 2023 - Springer
Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …

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 …