Event-based Speckle Interrogation for High-Bandwidth Multi-point Optical Fiber Sensing
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arXiv
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| Format: | Preprint |
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2025
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| author | Lopes, Tomás Teixeira, Joana Rocha, Vicente V. Ferreira, Tiago D. Monteiro, Catarina S. Jorge, Pedro A. S. Silva, Nuno A. |
| author_facet | Lopes, Tomás Teixeira, Joana Rocha, Vicente V. Ferreira, Tiago D. Monteiro, Catarina S. Jorge, Pedro A. S. Silva, Nuno A. |
| contents | Speckle-based fiber optic sensors are well-known to offer high sensitivity but are strongly limited on the interrogation side by low camera frame rates and dynamic range. To address this limitation, we present a novel interrogation framework that explores event-based vision to achieve high throughput, high bandwidth, and low-latency speckle analysis of a multimode optical fiber sensor. In addition, leveraging a tensor-based decomposition of the raw event streams through multi-point calibration and machine-learning optimization, our approach also proves capable of isolating simultaneous deformations applied at distinct points. The experimental results validate the methodology by separating the signals of four piezoelectric actuators over a 400Hz-20kHz range with minimal crosstalk applied over varying distances from 3cm to 75cm. Finally, extending the impact of the work with an acoustic sensing proof-of-concept, we have coupled the fiber to two plastic enclosures and recovered separable audio signals between 400 and 1.8 kHz with minimal waveform distortion. Overall, these results establish event-driven speckle interrogation as a new versatile platform for real-time, multi-point acoustic sensing and pave for its application in complex and unstructured environments in future works. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_22094 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Event-based Speckle Interrogation for High-Bandwidth Multi-point Optical Fiber Sensing Lopes, Tomás Teixeira, Joana Rocha, Vicente V. Ferreira, Tiago D. Monteiro, Catarina S. Jorge, Pedro A. S. Silva, Nuno A. Optics Speckle-based fiber optic sensors are well-known to offer high sensitivity but are strongly limited on the interrogation side by low camera frame rates and dynamic range. To address this limitation, we present a novel interrogation framework that explores event-based vision to achieve high throughput, high bandwidth, and low-latency speckle analysis of a multimode optical fiber sensor. In addition, leveraging a tensor-based decomposition of the raw event streams through multi-point calibration and machine-learning optimization, our approach also proves capable of isolating simultaneous deformations applied at distinct points. The experimental results validate the methodology by separating the signals of four piezoelectric actuators over a 400Hz-20kHz range with minimal crosstalk applied over varying distances from 3cm to 75cm. Finally, extending the impact of the work with an acoustic sensing proof-of-concept, we have coupled the fiber to two plastic enclosures and recovered separable audio signals between 400 and 1.8 kHz with minimal waveform distortion. Overall, these results establish event-driven speckle interrogation as a new versatile platform for real-time, multi-point acoustic sensing and pave for its application in complex and unstructured environments in future works. |
| title | Event-based Speckle Interrogation for High-Bandwidth Multi-point Optical Fiber Sensing |
| topic | Optics |
| url | https://arxiv.org/abs/2509.22094 |