Non-Invasive Qualitative Vibration Analysis using Event Camera

Autor:	Bane, Dwijay, Gupta, Anurag, Suri, Manan
Rok vydání:	2024
Předmět:	Computer Science - Neural and Evolutionary Computing Electrical Engineering and Systems Science - Image and Video Processing I.4.0
Druh dokumentu:	Working Paper
Popis:	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. Comment: 13 pages, 11 figures, 2 table
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.14364 Zobrazit plný text záznamu View this record from Arxiv