OpenCV Python 排水管报警系统：检测排泥并超过一分钟未排泥触发警报

以下是使用OpenCV和Python编写的排水管排水报警代码示例。该代码通过比较连续帧之间的差异，检测排水管是否排泥，并在超过一分钟未检测到排泥时触发报警。\n\npython\nimport cv2\nimport time\n\n# 设置报警阈值\nDIFF_THRESHOLD = 0.5 # 差异阈值\nALARM_DURATION = 60 # 报警持续时间（秒）\n\n# 加载视频文件或摄像头\nvideo_capture = cv2.VideoCapture(0) # 如果要从视频文件中读取，请将参数设置为文件路径\n\n# 初始化变量\nlast_frame = None # 上一帧\nlast_alarm_time = None # 上一次报警时间\n\nwhile True:\n # 读取当前帧\n ret, frame = video_capture.read()\n if not ret:\n break\n\n # 转换为灰度图像\n gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n gray = cv2.GaussianBlur(gray, (21, 21), 0)\n\n # 如果是第一帧，则跳过差异检测\n if last_frame is None:\n last_frame = gray\n continue\n\n # 计算当前帧与上一帧的差异\n frame_diff = cv2.absdiff(last_frame, gray)\n _, frame_diff = cv2.threshold(frame_diff, 25, 255, cv2.THRESH_BINARY)\n\n # 计算差异比例\n diff_ratio = cv2.countNonZero(frame_diff) / (frame.shape[0] * frame.shape[1])\n\n # 如果差异比例超过阈值\n if diff_ratio > DIFF_THRESHOLD:\n # 如果距离上一次报警时间超过一分钟，则触发报警\n if last_alarm_time is None or time.time() - last_alarm_time >= ALARM_DURATION:\n print("排泥报警！")\n last_alarm_time = time.time()\n\n # 显示当前帧和差异图像\n cv2.imshow("Frame", frame)\n cv2.imshow("Frame Diff", frame_diff)\n\n # 按下q键退出循环\n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n\n # 更新上一帧\n last_frame = gray\n\n# 释放视频捕获对象和关闭窗口\nvideo_capture.release()\ncv2.destroyAllWindows()\n\n\n请注意，此代码仅为示例，可能需要根据实际情况进行修改和调整。