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The Application of Machine Vision in Fire Protection System

机译:机器视觉在消防系统中的应用

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Based on the previous research, this paper introduces the theory of wavelet, collects the situation through the video system, and calculates the key information needed in the fire protection system. That is, through the algorithm to collect the information, according to the flame color characteristics and smoke characteristics were extracted, and as the characteristic information corresponding processing. Alarm system set the corresponding alarm threshold, when more than this alarm threshold, the system will alarm. This combination of flame color characteristics and smoke characteristics of the fire method not only improve the accuracy of judgment, but also improve the efficiency of judgments. Experiments show that the scheme is feasible.
机译:在先前研究的基础上,本文介绍了小波理论,通过视频系统收集了情况,并计算了消防系统所需的关键信息。也就是说,通过算法收集信息,根据火焰的颜色特征和烟雾特征进行提取,并作为特征信息进行相应的处理。警报系统设置相应的警报阈值,当超过此警报阈值时,系统将发出警报。这种结合了火焰颜色特征和烟雾特征的着火方法,不仅提高了判断的准确性,而且提高了判断的效率。实验表明该方案是可行的。

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