Slope Collapse Detection Method Based on Deep Learning Technology

Abstract

So far, slope collapse detection mainly depends on manpower, which has the following drawbacks: (1) low reliability, (2) high risk of human safe, (3) high labor cost. To improve the efficiency and reduce the human investment of slope collapse detection, this paper proposes an intelligent detection method based on deep learning technology for the task. In this method, we first use the deep learning-based image segmentation technology to find the slope area from the captured scene image. Then the foreground motion detection method is used for detecting the motion of the slope area. Finally, we design a lightweight convolutional neural network with an attention mechanism to recognize the detected motion object, thus eliminating the interference motion and increasing the detection accuracy rate. Experimental results on the artificial data and relevant scene data show that the proposed detection method can effectively identify the slope collapse, which has its applicative value and brilliant prospect.