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Landslide detection system using computer vision approach and Raspberry Pi

机译:使用计算机视觉方法和Raspberry Pi的滑坡检测系统

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Landslide is a natural hazard, which badly affects people's safety and property. Continuous monitoring of such a disaster may lead to reducing of losses of human lives. With this aim, in this paper, we have proposed a surveillance system for real time landslide monitoring using computer vision algorithms. Here we have used a video camera to acquire live view of landslide site and a small computer board ‘raspberry Pi’ to run the algorithm we will introduce here. When landslide is detected SMS text messages are transmitted using a GSM modem. Due to video camera and Raspberry Pi, this method is inexpensive yet efficient and also requires low power, therefore this method can be used in any region. We have used median filtering to remove noise present in the detection algorithm. Here we have also proposed a new implementation method for median filtering using a linked list and parallel processing which is very time efficient.
机译:滑坡是一种自然灾害,严重影响人们的安全和财产安全。持续监测此类灾难可能会减少人员伤亡。为此,在本文中,我们提出了一种使用计算机视觉算法进行滑坡实时监测的监测系统。在这里,我们使用摄像机获取滑坡现场的实时视图,并使用小型计算机板“ Raspberry Pi”运行我们将在此处介绍的算法。当检测到山体滑坡时,将使用GSM调制解调器发送SMS文本消息。由于摄像机和Raspberry Pi,这种方法价格便宜却有效,并且需要低功耗,因此该方法可在任何地区使用。我们已经使用中值滤波来消除检测算法中存在的噪声。在这里,我们还提出了一种使用链表和并行处理进行中值滤波的新的实现方法,该方法非常省时。

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