A smartphone is a low-cost pocket wireless multichannel multiphysical data acquisition system: the use of such a device for noise and vibration analysis is a challenging task. To what extent is it possible to carry out relevant analysis from it? The Survishno conference, held in Lyon in July 2019, proposed a contest to participants based on this subject. Two challenges were proposed, wherein each a mute video showing an object moving/excited at different frequencies was provided. Due to the frequencies set and the video sampling characteristics, special effects occurred and are visible on both videos. From the first video, participants were asked to estimate the Instantaneous Angular Speed (IAS) of a rotating fan. From the second video, they were asked to perform the modal analysis of a cantilever beam. This paper gathers the interesting ideas proposed by the contestants and proposes a global method to solve these two problems. One major point of the paper might be the advantageous use of the rolling shutter effect, a well-known artefact of smartphone videos, to perform advanced mechanical analyses: the consideration of the unavoidable slight phase shift between the acquisition of each pixel opens up the possibility to perform a dynamic analysis at frequencies that are much higher than the video frame rate.

智能手机是一种低成本的袖珍无线多通道多物理数据采集系统：使用此类设备进行噪声和振动分析是一项艰巨的任务。可以在多大程度上进行相关分析？2019年7月在里昂举行的Survishno会议基于此主题向参与者提出了竞赛。提出了两个挑战，其中每个都提供了一个静噪视频，该静噪视频显示了以不同频率移动/激发的对象。由于设置了频率和视频采样特性，因此发生了特殊效果，并且在两个视频上均可见。从第一个视频中，要求参与者估计旋转风扇的瞬时角速度（IAS）。从第二个视频中，他们被要求对悬臂梁进行模态分析。本文收集了参赛者提出的有趣观点，并提出了解决这两个问题的全局方法。本文的一个主要观点可能是利用滚动快门效应（一种智能手机视频的众所周知伪像）的优势来执行高级机械分析：对每个像素的采集之间不可避免的轻微相移的考虑开辟了可能性以远高于视频帧速率的频率执行动态分析。