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Applying of audioanalytics for determining contingencies

机译:探测器施用umaryAnalytics来确定突发事件

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While video analysis has become a standard feature of many security cameras, built audioanalytics remains relatively rare, despite the presence of both the audio channels in the devices and the available computing power to process audio data. However, audioanalytics has certain advantages over video analytics: microphones and maintenance cost is significantly less expensive than cameras; when the system is in real-time audio data stream is substantially less in volume than the flow of data from the video cameras, which imposes more loyal to the bandwidth requirements of data transmission channel. Audioanalytics systems can be especially in demand for urban surveillance, where you can automatically start to broadcast live video on the police control from the place of explosion and fire. Audioanalytics technology can also be used in the study and recording of certain events. In this study, we consider methods to identify audio event recognition, create a surveillance model using audioanalyitics methods and identify audio events by experiments.
机译:虽然视频分析已成为许多安全摄像头的标准特征,但由于设备中的音频通道和用于处理音频数据的可用计算能力,因此构建的探测器仍然相对罕见。但是,探测器与视频分析有一定的优势:麦克风和维护成本比相机昂贵较低;当系统处于实时音频数据流时,体积大于来自视频摄像机的数据流量的体积大致小,这施加了更忠于数据传输信道的带宽要求。 AudioAnalytics系统可能尤其是对城市监督的需求,您可以自动开始从爆炸和火灾的地点播放警方控制的实时视频。 AudioAnalytics技术也可用于研究和记录某些事件。在本研究中,我们考虑识别音频事件识别的方法,使用AudioAnalyitics方法创建监视模型,并通过实验识别音频事件。

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