Real-time fire detection based on deep convolutional long-recurrent networks and optical flow method
C Hu, P Tang, WD **, ZW He… - 2018 37th Chinese control …, 2018 - ieeexplore.ieee.org
A new fire monitoring method was proposed in this paper, which proposed a Neural Network
of Deep Convolutional Long-Recurrent Networks (DCLRN), and combining DCLRN network …
of Deep Convolutional Long-Recurrent Networks (DCLRN), and combining DCLRN network …
ResNet-50 based fire and smoke images classification
H Jabnouni, I Arfaoui, MA Cherni… - … for Signal and …, 2022 - ieeexplore.ieee.org
Fires are becoming a greater threat to people's lives, property, and the environment. Image
technologies, as compared to traditional fire detection approaches, hold a lot of promise for …
technologies, as compared to traditional fire detection approaches, hold a lot of promise for …
Video smoke detection for surveillance cameras based on deep learning in indoor environment
An early fire detection in indoor environment is essential for people's safety. During the past
few years, many approaches using image processing and computer vision techniques were …
few years, many approaches using image processing and computer vision techniques were …
Indoor video flame detection based on lightweight convolutional neural network
Z Yang, L Bu, T Wang, P Yuan, O **eng - Pattern Recognition and Image …, 2020 - Springer
At present, all CNN-based fire detection algorithms identify fire by means of a single frame
image, all of which demonstrate low accuracy under strong interferences or complex …
image, all of which demonstrate low accuracy under strong interferences or complex …
Examination of bottle caps guided with image processing and deep neural networks
In recent times, several fields that exist in engineering have been heavily dominated through
the integration of artificial intelligence, however machine vision systems are simultaneously …
the integration of artificial intelligence, however machine vision systems are simultaneously …