As the demand of an automatic firedetection system is increasing in recent years, a vision-based firedetection system is appealing. However, vision-based fire detection algorithms require tremendous computational pe...
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ISBN:
(数字)9789401787987
ISBN:
(纸本)9789401787987;9789401787970
As the demand of an automatic firedetection system is increasing in recent years, a vision-based firedetection system is appealing. However, vision-based fire detection algorithms require tremendous computational performance, limiting their use in real-time applications. This paper proposes a multi-core prototyping system to support these high computational algorithms. The multi-core architecture including 16 processing elements (PEs) is implemented on a vertex 4 FPGA chip of the HUINS SoC Master 3 board. In addition, the performance of a selected four-stage fire detection algorithm is evaluated using the multi-core prototyping system. Experimental results show that the proposed multi-core prototyping system executing at 50 MHz clock frequency supports seven frames per second for a 240 x 200 resolution video. In addition, the proposed multi-core system achieves about 1.87 x speedup over commercial high-performance TI DSP operating at 720 MHz clock frequency.
The need for sensor devices has been picking up the pace to develop new applications in several technological fields. The current state-of-the-art of this sensor technology used in modern electronic nose designs to op...
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ISBN:
(纸本)9781479978496
The need for sensor devices has been picking up the pace to develop new applications in several technological fields. The current state-of-the-art of this sensor technology used in modern electronic nose designs to operate in a different manner which makes easier to prevent various fire accidents. The chamber of the E-Nose (Electronic-Natural Olfactory Sensor Emulators) sensor has upgraded mainly for reducing the nuisance alarms and improved reliability to detect smoke which is caused by fire and non-fire particles. This paper gives a brief modern firedetection model in order to avoid nuisance alarms, to detect smoke and also distinguished dissimilar fire and non-fire particles that emanate the smoke and various chemical gases using sensors.
Most of the firedetection are performed by sensor based systems which have perceived the temperature and smoke by themselves and utilized in various type of industry after combining with the fuzzy theory. Generally t...
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ISBN:
(纸本)9780769534329
Most of the firedetection are performed by sensor based systems which have perceived the temperature and smoke by themselves and utilized in various type of industry after combining with the fuzzy theory. Generally this kind of methodology is useful for many spots of fire occurrences. However, it could not satisfy the requirement Of accuracy and reliability on some environment. For example, large spaced factories, common area of electric power facility, communication facility are vulnerable to the sensing accuracy and too expensive to cover the entire place. Thus, fire might spread widely over the spots and hard to extinguish even though those sensors detect the fire. For the more it could be worse in the area that causes high temperature, humidity, dust, vibrations. In this study, we tried to improve the problems by using camera image processing instead of sensors. We designed the prototyped system and implemented it after suggesting some type of fire detection algorithm..
Background (BG) variability is an important issue in firedetection. Due to atmospheric situations in general a high correlation can be assumed between the BG infrared radiation for spatially near zones. This correlat...
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Background (BG) variability is an important issue in firedetection. Due to atmospheric situations in general a high correlation can be assumed between the BG infrared radiation for spatially near zones. This correlation can be even greater if similar forest and soil-surface conditions exist in these zones. In this paper we present an approach for firedetection in ground systems. This approach takes into account the temporal and spatial BG behavior. We show that if we use differences of sensor outputs of BG zones with highly correlated surface temperature and reflectance then the false alarm probability is reduced for a given threshold. We also show that for a fixed false alarm probability the use of differences between sensors instead of a single sensor provides higher firedetection probability. (C) 2001 Elsevier Science B.V. All rights reserved.
Forest fires in tropical countries have become one of the important sources of Green House Gases and cause damage to the forest ecosystems. Information relating to the extent and location of active fire zones needs im...
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Forest fires in tropical countries have become one of the important sources of Green House Gases and cause damage to the forest ecosystems. Information relating to the extent and location of active fire zones needs immediate attention to facilitate effective management and mitigation of forest fires. The spectral intervals that are most suitable for the detection of forest fires are 3.5-4.2 and 4.4-5.0 mu m. The maximum thermal emission of fires is localized using middle infrared and thermal infrared bands for automatic recognition of fire active zones. The algorithm considers the thresholds for middle infrared on the basis of channel saturation to discriminate the fire zones from background warm surface and thermal infrared (10.3-11.3 mu m) to ensure it to be free from cloud and water bodies. Advanced Very High Resolution Radiometer (AVHRR) data of 1 km resolution have been taken and we apply a spatial technique using background information to dynamically define thresholds appropriate for identifying fire pixels. The study suggests that satellite data provide a unique tool to detect and monitor active fire distribution. (C) 2000 Elsevier Science B.V. All rights reserved.
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