摘要：【中文】本发明公开了一种电梯制动性能动态检测系统及方法，系统包括传感模块、数据采集传输模块以及移动终端。方法包括：移动终端向传感模块发送开始测试指令；传感模块采集电梯从启动到制停全过程中每一时刻曳引轮及曳引钢丝绳的速度以及轿厢的加速度；数据采集传输模块将采集到的数据传输至移动终端，移动终端分别根据三种数据计算电梯的制动点，判断三个制动点是否一致或制动点之间的误差是否小于预设误差阈值，若是则表明电梯制动性能优良，反之电梯制动性能存在问题。本发明通过多传感器对电梯运行过程中的各个环节进行同步动态检测，并对各个环节数据进行同步比对，能精确反映电梯的制动性能，并通过智能传感和无线传输，提高了检测的时效性。 【EN】The invention discloses a dynamic detection system and a dynamic detection method for elevator braking performance. The method comprises the following steps: the mobile terminal sends a test starting instruction to the sensing module; the sensing module collects the speeds of a traction wheel and a traction steel wire rope and the acceleration of a lift car at each moment in the whole process from starting to braking of the lift; the data acquisition and transmission module transmits acquired data to the mobile terminal, the mobile terminal calculates the braking points of the elevator according to the three data respectively, whether the three braking points are consistent or whether the error between the braking points is smaller than a preset error threshold value is judged, if yes, the elevator braking performance is excellent, and otherwise, the elevator braking performance has problems. According to the invention, each link in the elevator running process is synchronously and dynamically detected through the multiple sensors, and each link data is synchronously compared, so that the braking performance of the elevator can be accurately reflected, and the detection timeliness is improved through intelligent sensing and wireless transmission.

摘要：【中文】本发明公开了一种3D‑HEVC帧间预测块快速划分方法及系统，方法包括：利用传统编码方法获得当前编码块以及其第一个小的附属编码块的最优预测模式，以及对应的率失真值；之后判断第一个小的附属编码块的最优模式是否是SKIP模式，若是，则进一步判断当前编码块的率失真值是否小于或等于第一个小的附属编码块率失真值的4倍，若是，则提前终止当前编码块得四叉树编码结构划分。系统用于实现上述方法。本发明减少了编码时间，降低了深度图像帧间预测编码的复杂度，并能确保合成视角的视频质量。 【EN】The invention discloses a method and a system for quickly dividing a 3D-HEVC interframe prediction block, wherein the method comprises the following steps: obtaining the optimal prediction mode of the current coding block and the first small auxiliary coding block thereof and the corresponding rate distortion value by using a traditional coding method; and then judging whether the optimal mode of the first small auxiliary coding block is a SKIP mode, if so, further judging whether the rate-distortion value of the current coding block is less than or equal to 4 times of the rate-distortion value of the first small auxiliary coding block, and if so, terminating the division of the quad-tree coding structure of the current coding block in advance. The system is used for realizing the method. The invention reduces the coding time, reduces the complexity of the inter-frame prediction coding of the depth image and can ensure the video quality of the synthesized view angle.

摘要：【中文】本发明公开了一种基于树莓派的生命体征监测系统，包括树莓派摄像头，用于采集待监测目标的视频图像，并将视频图像传输至树莓派；远程控制模块，用于将生命体征监测算法程序文件传输至树莓派；WiFi模块，用于为树莓派提供网络以实现与远程控制模块的通信；树莓派，用于结合待监测目标的视频图像和生命体征监测算法实现待监测目标的心率监测；显示模块，用于实时缓存和显示心率监测结果；电源模块，用于为其他部件供电。本发明采用视频监测人体生命体征的方法，实现了无接触式人体生命体征监测，且通过结合树莓派硬件平台和高精度检测算法，实现了低成本、高精度的人体生命体征监测，同时实现了系统自启动式监测，提高了系统使用的简便性和实用性。 【EN】The invention discloses a raspberry pi-based vital sign monitoring system, which comprises a raspberry pi camera, a video acquisition module, a monitoring module and a monitoring module, wherein the raspberry pi camera is used for acquiring a video image of a target to be monitored and transmitting the video image to a raspberry pi; the remote control module is used for transmitting the program file of the vital sign monitoring algorithm to the raspberry pi; the WiFi module is used for providing a network for the raspberry pi to realize communication with the remote control module; the raspberry pi is used for realizing heart rate monitoring of the target to be monitored by combining a video image of the target to be monitored and a vital sign monitoring algorithm; the display module is used for caching and displaying the heart rate monitoring result in real time; and the power supply module is used for supplying power to other components. The invention adopts a method for monitoring human body vital signs through video, realizes non-contact human body vital sign monitoring, realizes low-cost and high-precision human body vital sign monitoring by combining a raspberry sending hardware platform and a high-precision detection algorithm, simultaneously realizes system self-starting monitoring, and improves the simplicity and the practicability of the system use.

摘要：【中文】本发明公开了一种运动目标生命体征检测方法，包括以下步骤：对待检测视频的第一帧图像进行人脸检测，若检测不到人脸则判定本次生命体征检测失败，反之执行下一步；对检测到的人脸进行人脸追踪，若人脸追踪过程中人脸丢失，则返回执行上一步，否则执行下一步；根据人脸追踪结果，提取生命体征信号；对生命体征信号进行频谱分析获取心率值，并对心率值进行实时缓存和显示。本发明提出的运动目标生命体征检测方法实时性高，且简化了原始信号的预处理以及生命体征信号的提取，不仅降低了测量的复杂度，而且克服了运动信号和背景信号等对心率信号的影响，提高了信号提取的准确性，扩大了生命体征信号测量的应用范围。 【EN】The invention discloses a moving target vital sign detection method, which comprises the following steps: carrying out face detection on a first frame of image of a video to be detected, if the face is not detected, judging that the vital sign detection fails, and otherwise, executing the next step; carrying out face tracking on the detected face, if the face is lost in the face tracking process, returning to execute the previous step, otherwise, executing the next step; extracting vital sign signals according to the face tracking result; and carrying out spectrum analysis on the vital sign signals to obtain a heart rate value, and caching and displaying the heart rate value in real time. The moving target vital sign detection method provided by the invention has high real-time performance, simplifies the preprocessing of the original signal and the extraction of the vital sign signal, not only reduces the complexity of the measurement, but also overcomes the influence of the moving signal, the background signal and the like on the heart rate signal, improves the accuracy of the signal extraction and enlarges the application range of the vital sign signal measurement.