Non-Invasive Qualitative Vibration Analysis using Event Camera
Dwijay Bane, Anurag Gupta, Manan Suri

TL;DR
This paper explores the use of event-based vision sensors for non-invasive qualitative vibration analysis, focusing on frequency measurement and motion magnification, highlighting their potential and current challenges.
Contribution
It demonstrates the application of event cameras for real-time vibration frequency measurement and discusses the challenges in motion magnification with stationary cameras.
Findings
Event cameras show promise for real-time structural assessment.
Motion magnification faces challenges with stationary cameras.
Frequency measurement is feasible with event-based sensors.
Abstract
This technical report investigates the application of event-based vision sensors in non-invasive qualitative vibration analysis, with a particular focus on frequency measurement and motion magnification. Event cameras, with their high temporal resolution and dynamic range, offer promising capabilities for real-time structural assessment and subtle motion analysis. Our study employs cutting-edge event-based vision techniques to explore real-world scenarios in frequency measurement in vibrational analysis and intensity reconstruction for motion magnification. In the former, event-based sensors demonstrated significant potential for real-time structural assessment. However, our work in motion magnification revealed considerable challenges, particularly in scenarios involving stationary cameras and isolated motion.
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Taxonomy
TopicsDigital and Cyber Forensics · Neural Networks and Applications
MethodsFocus
