This paper presents an innovative, contactless system for analyzing low-frequency, high-amplitude vibrations in machinery using video-based motion tracking. Traditional vibration meters, which require physical attachment and are limited in capturing high-amplitude or low-frequency vibrations, are often inadequate to detect deviations in machinery motion. To address these limitations, we propose a system that utilizes video feeds to track specific regions of interest (ROIs) in moving objects, allowing for accurate vibration measurement without interrupting machine operations. By employing a kernel-matching algorithm, the system provides real-time motion tracking and precise analysis of vibration patterns. Our approach enables early fault detection and predictive maintenance, reducing unplanned downtimes and minimizing long-term damage. The effectiveness of the system is demonstrated through experiments on various setups, including pendulums and spring-based mechanisms. These results confirm the potential of this method to outperform conventional vibration meters, making it an ideal solution for industries that require advanced motion analysis and monitoring of machinery health.