Fast and Efficient Method for Fire Detection Using Image Processing

ETRI Journal ◽  
2010 ◽  
Vol 32 (6) ◽  
pp. 881-890 ◽  
Author(s):  
Turgay Celik
Keyword(s):  
Image Processing ◽  
Efficient Method ◽  
Fire Detection

A Novel Embedded System Architecture for Fire Detection Based on Image Processing

2014 ◽  
Vol 608-609 ◽  
pp. 454-458
Author(s):  
Wei Bai ◽  
Chen Yuan Hu
Keyword(s):  
Image Processing ◽  
Embedded System ◽  
System Architecture ◽  
Cooperative Control ◽  
Processing System ◽  
Fire Detection ◽  
System Level ◽  
High Definition ◽  
The Embedded System ◽  
Pass Through

This paper presents novel logic/software co-work architecture for embedded high definition image processing platform, which is built by the considerations of system level, board hardware level, and the tasks partition between CPU processing and programmable logic based on the latest launched System on Chip Field Programmable Gate Array (Soc FPGA) – Xilinx ZC7020. For this case, we comprehensive analyze of the critical data paths: the uniform Advanced Extensible Interface (AXI) processing between processing system (PS) and processing logic (PL), including high definition video pass through PL to PS and PS software processing send to PL for speed up. We have included the transplant of opensource Linux, multiprocessing cooperative control and boot loader in PS side. Since the general platform is proposed, a fire detection approach based on high definition image processing is implemented. Experiment results indicated the feasibility and universality of the embedded system architecture.

An Efficient Image-Based Method for Detection of Fastener on Railway

2011 ◽  
Vol 346 ◽  
pp. 731-737 ◽  
Author(s):  
Jin Feng Yang ◽  
Man Hua Liu ◽  
Hui Zhao ◽  
Wei Tao
Keyword(s):  
Image Processing ◽  
Efficient Method ◽  
Template Matching ◽  
Detection Method ◽  
Experimental Results ◽  
Feature Descriptor ◽  
Complex Environment ◽  
Computation Efficiency ◽  
The Status ◽  
Direction Field

This paper presents an efficient method to detect the fastener based on the technologies of image processing and optical detection. As feature descriptor, the Direction Field of fastener image is computed for template matching. This fastener detection method can be used to determine the status of fastener on the corresponding track, i.e., whether the fastener is on the track or missing. Experimental results are presented to show that the proposed method is computation efficiency and is robust for fastener detection in complex environment.

scholarly journals Implementation of Fire Image Processing for Land Fire Detection Using Color Filtering Method

2019 ◽  
Vol 1196 ◽  
pp. 012003
Author(s):  
Ahmad Zarkasi ◽  
Siti Nurmaini ◽  
Deris Stiawan ◽  
Firdaus ◽  
Abdurahman ◽  
...  
Keyword(s):  
Image Processing ◽  
Fire Detection ◽  
Filtering Method

Research on Fire Detection in Coal Mine Based on GA-Improved Wavelet Neural Networks

2012 ◽  
Vol 490-495 ◽  
pp. 1636-1639
Author(s):  
Hong Zhao
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Coal Mine ◽  
Fire Detection ◽  
Mine Safety ◽  
Wavelet Neural Networks ◽  
Mine Fire ◽  
Coal Mine Safety ◽  
Safety Production ◽  
Novel Method

In coal mine the forecast on fire is mainly based on the smoke, gas and temperature parameters to recognize, and sometimes it has leak check and wrong check, therefore a novel method for mine fire based on image processing is presented. First the data are obtained by infrared CCD, then the blaze characters are extracted and they are entered into the GA-improved wavelet neural networks model after being quantization, finally the fire can be detected. The experiment results show that this method can recognize fire signals and it reduced leak forecast, and also it is more reliable and has stronger antigambling ability. It will inevitably play an important role in coal mine safety production..

scholarly journals Real Time Fire Detection System with Image Processing

2021 ◽  
Vol 3 ◽  
pp. 19-24
Author(s):  
Min Thu Soe ◽  
Thein Oak Kyaw Zaw ◽  
Wai Kit Wong
Keyword(s):  
Image Processing ◽  
Detection System ◽  
Fire Detection ◽  
Accurate Method ◽  
False Alarms ◽  
Thermal Camera ◽  
Fire Fighters ◽  
The People ◽  
Fire Detection System ◽  
Thermal Video

Fire detectionsystemby image processing is a growing research in this era. There are many methods used to detect fire out, butstill need to develop an accurate method to detect fire without false alarms. This is due to the fact that many methods used RGB colour mode for detection. In this paper, mainly focuson detecting the fire effectively using thermal video from a thermal camera while in the same time the system will alert the people if fire was detected,and also observed the speed of the fire.This will enormouslybenefitto the fire fighters.With thissystem, thefire can be detected effectively while alerting the people and giving valuable information to the fire fighters fortheir job more effectively.

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