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엄성민 ( Sung Min Eom ),나웅재 ( Woong Jae Na ),장진명 ( Jin Myoung Jang ),선경호 ( Kyung Ho Sun ),김병옥 ( Byung Ok Kim ),신윤호 ( Yun-ho Shin ) 사단법인 한국빅데이터서비스학회 2023 빅데이터서비스학회 논문집 Vol.1 No.1
Vibrations generated in mechanical system are constantly measured for the purpose of fault monitoring and malfunction detection, mainly by measuring the vibrations at key locations using piezoelectric point based sensors. Recently, object recognition and image based signal processing have been attempted for condition monitoring of the target object using frame based cameras, and various signal processing techniques are being developed for commercialization and practical application. Recently, there has been growing interest in the development of event-based vision sensors, which focus on the movement of the target object, as they have advantages in measuring high-frequency vibrations from arbitrary positions of the target object. However, research on visualization of the video itself has not been extensively conducted as vibration measurement of mechanical equipment using event-based vision sensors still primarily focuses on deriving vibration signals through image processing. In this study, we aim to introduce motion amplification techniques for visualizing vibration signals that can be derived from videos, and discuss the potential and possibilities of applying these techniques in practical settings using event based vision sensors. Furthermore, we intend to examine the potential integration of motion amplification techniques into video-based condition monitoring technologies using event sensors in the future.