Rotational speed is one of the important metrics to be measured for calibrating the electric motors in manufacturing, monitoring engine during car repairing, faults detection on electrical appliance and etc. However, existing measurement techniques either require prohibitive hardware (e.g., high-speed camera) or are inconvenient to use in real-world application scenarios. In this paper, we propose, EV-Tach, an event-based tachometer via efficient dynamic vision sensing on mobile devices. EV-Tach is designed as a high-fidelity and convenient tachometer by introducing dynamic vision sensor as a new sensing modality to capture the high-speed rotation precisely under various real-world scenarios. By designing a series of signal processing algorithms bespoke for dynamic vision sensing on mobile devices, EV-Tach is able to extract the rotational speed accurately from the event stream produced by dynamic vision sensing on rotary targets. According to our extensive evaluations, the Relative Mean Absolute Error (RMAE) of EV-Tach is as low as 0.03% which is comparable to the state-of-the-art laser tachometer under fixed measurement mode. Moreover, EV-Tach is robust to subtle movement of user's hand, therefore, can be used as a handheld device, where the laser tachometer fails to produce reasonable results.
翻译:旋转速度是测量制造业电动发动机校准、汽车修理期间监测发动机、电器故障检测等的重要衡量标准之一。然而,现有的测量技术要么需要高压硬件(例如高速照相机),要么在现实应用情景中使用不便。在本文中,我们提议,EV-Tach,通过对移动设备进行高效动态视觉感测,以事件为基础的跟踪仪。EV-Tach设计为高纤维和方便的跟踪仪,采用动态视觉传感器,作为一种新的感测模式,在各种现实世界情景下准确地捕捉高速轮用。设计了一系列信号处理算法,用于对移动设备进行动态视觉感测,EV-Tach能够准确地从动态视觉感测产生的事件流中提取旋转速度。根据我们的广泛评估,EV-Tach的相对平均值绝对误差为0.03%,这相当于在固定测量模式下精确的电压计的状态。此外,在固定测量模式下,EV-TAM结果可与精确度仪的状态相当。此外,在固定测量模式下,EV-TART测量结果的精确度仪能成。