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Experimental results show that the proposed four-stage smoke-detection algorithm outperforms conventional smoke-detection algorithms in terms of accuracy of smoke detection, providing a low false-alarm rate and high reliability in open and large spaces.
It is shown that such a smoke detector is able to operate reliably under low concentration of smoke and high relative humidity conditions.
Alarm algorithms utilizing ionization detector smoke measurements proved to be more effective than measurements from photoelectric detectors.
Experimental results show that the proposed smoke detection algorithm performs well than the conventional smoke detection algorithms in terms of accuracy of smoke detection.
Proceedings ArticleDOI
Yuan Wei, Yu Chunyu, Zhang Yongming 
02 Oct 2009
20 Citations
So we can judge the smoke or non-smoke by monitoring the power of the edge area.
This paper demonstrates the usability of gas sensor technologies for fire detection to enhance the performance of conventional smoke detectors.
Therefore this sensor overcomes the disadvantage of high false alarm rate given by smoke detectors and is also in small size which is suitable for household and industrial applications.
The results show that improved fire-detection capabilities can be achieved over standard smoke detectors by combining smoke measurements with CO measurements in specific algorithms.
However, the learning of smoke representation in the detectors will be restricted by the appearance gap between real and synthetic smoke samples, which will cause a significant performance drop.

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