Well station landslide detection method and device based on Faster-RCNN model

• Main Authors: LIU FULIN, CHEN XUEMIN, DAI PENGZHI, ZHU LIN, ZHANG QIANG, GONG YUNYANG, HE SHENGHUAN, YANG YUANYAN, SU YUNTING, XIANG WEI, REN JIWEN, YANG JIE, ZHU MIN
• Format: Patent
• Language: Chinese; English
• Published: 31.03.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention relates to the field of landslide detection, in particular to a well station landslide detection method and device based on a Faster-RCNN model. According to the method, the Faster-RCNN model is introduced to identify and detect the video monitoring image of the landslide of the well station, so that the application difficulty of the detection method is greatly reduced, the detection precision is ensured, and a worker can master the state of the landslide in time. 本发明涉及滑坡检测领域，特别是一种基于Faster-RCNN模型的井站山体滑坡检测方法及设备。本发明通过引入了Faster-RCNN模型对井站山体滑坡视频监控图像进行识别检测，极大的降低了检测方法的应用难度的同时也保证了检测精度，使工作人员能够及时掌握山体滑坡状态。