The invention discloses a method for analyzing and judging elevator jitter based on OpenCV optical flow through a camera, and the method comprises the following steps: S1, video preparation: capturing a video flow through the camera arranged on an elevator, and setting a proper resolution ratio and a proper frame rate; s2, image preprocessing: preprocessing the video stream, and performing graying and noise reduction to facilitate subsequent feature point detection; and S3, feature point detection: using a FAST feature point detection algorithm in OpenCV to find out key points of the elevator in the video for subsequent optical flow computation.According to the method, on the basis of existing hardware equipment, real-time images of the elevator can be obtained through a camera, and jitter is detected and the running state of the elevator is monitored by analyzing elevator pixel motion in a video frame captured by the camera; the optical flow vector field is analyzed to detect the abnormal pixel motion modes of the elevator, the modes comprise the abnormal jitter information of the elevator, potential hidden dangers of the elevator can be found in time, effective early warning can be provided, and therefore accidents are avoided, and the safety of passengers is guaranteed.
本发明公开了通过摄像头基于OpenCV光流分析判断电梯抖动的方法,该方法包括以下步骤:S1:视频准备,通过电梯设置的摄像头捕获视频流,设置合适的分辨率和帧率;S2:图像预处理,对视频流进行预处理,进行灰度化,降噪,便于后续特征点检测;S3:特征点检测,使用OpenCV中的FAST特征点检测算法,找出视频中电梯的关键点,用于后续光流计算,本发明可基于现有硬件设备,通过摄像头获取电梯实时影像,通过分析摄像头捕捉到的视频帧中的电梯像素运动来检测抖动,监测电梯运行状态,分析光流向量场以检测电梯异常的像素运动模式,这些模式中包含了电梯的抖动异常信息,可以及时发现电梯潜在隐患,提供有效预警,从而避免事故发生,保障乘客的安全。
Method for judging elevator shaking through camera based on OpenCV optical flow analysis
通过摄像头基于OpenCV光流分析判断电梯抖动的方法
2024-08-16
Patent
Electronic Resource
Chinese
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