Session Index

S9. Optical Sensing

Optical Sensing II
Friday, Dec. 2, 2022  15:15-17:00
Presider: Yin-Wen Lee、Ja-Yu Lu
Room: 2F A205
Notes:
15:15 - 15:30 Award Candidate (Paper Competition)
Manuscript ID.  0170
Paper No.  2022-FRI-S0902-O001
Takahito Yoshinaga Photon Confinement by Plasmonic Diffraction for Near-Infrared Sensitivity Improvement of Silicon Image Sensor
Takahito Yoshinaga, Kazuma Hashimoto, Nobukazu Teranishi, Atsushi Ono, Shizuoka University (Japan)

We proposed a photon trapping in silicon by plasmonic diffraction and reflection within image sensor pixel to improve the near-infrared sensitivity. The plasmonic grating on the top surface of the sensor diffracted at a large diffraction angle nearly 90°, which increased the effective propagation length at the finite silicon thickness and improved the silicon absorption. The effective propagation length in silicon was increased by repetition reflection of the diffracted light between the metal trenches. In simulation, the silicon absorption was enhanced 8.2 times at a wavelength of 940 nm with 3-µm-thick.

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15:30 - 15:45 Award Candidate (Paper Competition)
Manuscript ID.  0249
Paper No.  2022-FRI-S0902-O002
En-Yi Lin Study of the Application of Multimode Optical Fiber Cross-Sectional Reflective Images to Liquid Level Sensing
En-Yi Lin, Fang-Wen Sheu, National Chiayi University (Taiwan)

This study explores how to apply the cross-sectional reflective images of multimode optical fiber (core diameter of 50 microns) to liquid level sensing. We have successfully demonstrated that this experimental architecture is feasible, but the measurement range of the liquid level is only tens of microns and the measurement could be affected by the surface tension between the liquid and the optical fiber. So there is still room for improvement from practical industrial applications.

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15:45 - 16:00 Award Candidate (Paper Competition)
Manuscript ID.  0378
Paper No.  2022-FRI-S0902-O003
Zohauddin Ahmad High-performance Avalanche Photodiode for 4-D FMCW Lidar Applications
Zohauddin Ahmad, National Central University (Taiwan); Sung-Yi Ou, National Sun Yat-sen University (Taiwan); Po-Shun Wang, Naseem None, National Central University (Taiwan); You-Chia Chang, National Yang-Ming Chiao-Tung University (Taiwan); Chia-Chien Wei, National Sun Yat-sen University (Taiwan); Jin-Wei Shi, National Central University (Taiwan)

Our demonstrated APD with triple multiplication-layers and tailored charge doping design which exhibits low Vpt and an invariant Vbr, reducing space-charge screening and device heating. High saturation-current (12.8mA) and high-quality 4-D images in FWCW lidar system are achieved using this device.

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16:00 - 16:15 Award Candidate (Paper Competition)
Manuscript ID.  0607
Paper No.  2022-FRI-S0902-O004
Hengxuan Lin 4 micron wavelength single pixel camera
Hengxuan Lin, Yong-Siang Hsu, Te-Yuan Chung, National Central University (Taiwan)

A single-pixel camera is constructed to recording 4-um thermal image. With this particular wavelength range, the thermal images of LEDs with silicone rubber encapsulation were recorded and reconstructed successfully using compressive sensing algorithm.

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16:15 - 16:30 Award Candidate (Paper Competition)
Manuscript ID.  0726
Paper No.  2022-FRI-S0902-O005
Yu-Ya Lin Fiber-tip FPI Sensor with A Hole for Gas Pressure Sensing
Yu-Ya Lin, Chin-ping Yu, National Sun Yat-sen University (Taiwan)

We demonstrate a new method to fabricate an open-cavity Fabry-Pérot interferometer (FPI) sensor with a hole. The FPI sensor was formed by splicing an annularly polished single-mode fiber (SMF) with a section of hollow-core fiber (HCF). By applying a force on the SMF, a film will be left on the fiber end with a hole. By varying the pressure difference, we can obtain the pressure sensing sensitivity is 27.2pm/psi. Besides, the sensor can resist the disturbance from the variation of temperature.

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16:30 - 16:45 Award Candidate (Paper Competition)
Manuscript ID.  0785
Paper No.  2022-FRI-S0902-O006
You-Ren Lin The importance of microlens and aperture in optical under-screen fingerprint recognition
You-Ren Lin, Teng-Wei Huang, Gou-Dung Su, National Taiwan University (Taiwan)

To enhance the accuracy of the under-screen fingerprint technology, we found it helpful to add an aperture and microlens. In this paper, we will describe the importance of these structures for under-screen fingerprint technology.

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