(46-1) 09 * << * >> * Russian * English * Content * All Issues

Computer vision-based method of pre-alignment of a channel optical waveguide and a lensed fiber
P.V. Karnaushkin 1,2, M.S. Sklyarenko 1

Perm State National Research University, 614990, Perm, Russia, Bukireva st. 15;
Perm Federal Research Center, Ural Branch, Russian Academy of Sciences, 614990, Perm, Russia, Lenin st. 13a

 PDF, 2024 kB

DOI: 10.18287/2412-6179-CO-919

Pages: 71-82.

Full text of article: Russian language.

Abstract:
The work is devoted to a technique of pre-alignment of a lensed fiber and a channel waveguide of a photonic integrated circuit using computer vision methods. The design and main units of a machine vision system with illumination of the adjusted objects in reflected light are described. The technique includes detection of the spatial position of the end face of the photonic integrated circuit, fixed at an angle of 90 ± 1° to the horizontal axis of the frame, detection of the coordinates of the end face of the lensed fiber, and the subsequent correction of the position of the lensed fiber using a manipulator system. We propose a method of searching and selecting a single line corresponding to the end face of a photonic integrated circuit using a Hough transform; methods for grouping discontinuous contours of the lensed fiber and true contour determination. These methods are based on a priori knowledge of the lens geometry. Also, we describe options for suppressing noise and overcoming various defects in images. It has been shown experimentally that the error of angle determination of a lensed fiber depends on the distance between the lens and the end face of the photonic integrated circuit. The presented technique makes it possible to determine the longitudinal and angular displacements between the fiber lens and the end face of the photonic integrated circuit with errors less than 4 μm and 0.05°, respectively.

Keywords:
photonic integrated circuit, waveguide, lensed fiber, machine vision, alignment.

Citation:
Karnaushkin PV, Sklyarenko MS. Computer vision-based method of pre-alignment of a channel optical waveguide and a lensed fiber. Computer Optics 2022; 46(1): 71-82. DOI: 10.18287/2412-6179-CO-919.

Acknowledgements:
The work was conducted as part the project "Design and development of production technology of a miniature general-purpose resonant optical gyroscope" (Contract No. 2/549/2020 of 23.07.2020) within the “Program of state support for leading companies involved in the development and introduction of products, services and platforms aimed at digitization of key sectors of the economy and social sphere”.

References:

  1. Urino Y, Usuki T, Fujikata J, Ishizaka M, Yamada K, Horikawa T, Nakamura T, Arakawa Y. High-density and wide-bandwidth optical interconnects with silicon optical interposers. Photon Res 2014; 2(3): A1-A7.
  2. Suzuki K, Takiguchi K, Hotate K. Monolithically integrated resonator microoptic gyro on silica planar lightwave circuit. J Lightw Technol 2000; 18(1): 66-72.
  3. Kim H-T, Yu M. Cascaded ring resonator-based temperature sensor with simultaneously enhanced sensitivity and range. Opt Express 2016; 24(9): 9501-9510.
  4. Lefèvre H. The fiber-optic gyroscopes. Artech House; 1993.
  5. O'Brien P, Carrol L, Eason C, Lee JS. Packaging of silicon photonic devices. Top Appl Phys 2016; 122: 217-236.
  6. Tang Z, Zhang R, Shi FG. Effects of angular misalignments on fiber-optic alignment automation. Opt Commun 2001; 196(1-6): 173-180.
  7. Mizukami M, Hirano M, Shinjo K. Simultaneous alignment of multiple optical axes in a multistage optical system using Hamiltonian algorithm. Opt Eng 2001; 40(3): 448-454.
  8. Fuh CC, Hsu YC, Li RH, Tsai HH. Simplex method applied in the fiber-optic alignment. Proceedings of Research for an International Conference 2017: 7-8.
  9. Zheng Y, Kai XC, Duan JA, Li BB. Automated visual position detection and adjustment for optical waveguide chips and optical fiber arrays. J Cent South Univ 2015; 22: 3868-3875.
  10. Zheng Y, Xia B. High precision fast line detection of alignment and coupling for planar optical waveguide device. Optik 2017; 145: 519-528.
  11. Canny J. A computational approach to edge detection.  IEEE Trans Pattern Anal Mach Intell 1986; PAMI-8(6): 679-698.
  12. Lucas M. Splicer alignment technologies – White Paper. Fujikura: 1-9.
  13. Inada K, Watanabe O, Taya H. Splicing of fibers by the fusion method. IEEE J Sel Areas Commun 1986; SAC-4(5): 706-713. DOI: 10.1109/JSAC.1986.1146381.
  14. Wang S, Zhang Y. A robust alignment algorithm for microprocessor based fiber fusion splicer. 2009 2nd Int Congress on Image and Signal Processing 2009: 1-4. DOI: 10.1109/CISP.2009.5305160.
  15. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans on System, Man and Cybernetics 1979; 9(1): 62-66.
  16. Feng Y, Zhang J, Wan S. A new edge detection algorithm based on Canny idea. AIP Conf Proc 2017; 1890(1): 040011.
  17. Fang M, Yue GX, Yu OC. The Study on an application of Otsu method in Canny operator. Proc 2009 Int Symposium on Information Processing (ISIP'09) 2009: 109-112.
  18. Buades A, Coll B, Morel JM. Non-local means denoising. Image Process Line 2011; 1: 208-212. DOI: 10.5201/ipol.2011.bcm_nlm.
  19. Duda R, Hart P. Use of the Hough transformation to detect lines and curves in pictures. Commun ACM 1972; 15(1): 11-15.
  20. Sklyarenko MS. Accuracy estimation of object tracking methods for identification of 2D-coordinates and velocities of mechanical systems based on digital photography data. Computer Optics 2015; 39(1): 125-135. DOI: 10.18287/0134-2452-2015-39-1-125-135.
  21. Suzuki S, Abe K. Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing 1985; 30(1): 32-46.
  22. Toussaint GT. Solving geometric problems with the rotating calipers. Proceedings of IEEE MELECON'83 1983. Source: <https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.155.5671&rep=rep1&type=pdf>. DOI: 10.1.1.155.5671.
  23. Sklansky J. Finding the convex hull of a simple polygon. Pattern Recognit Lett 1982; 1(2): 79-83. DOI: 10.1016/0167-8655(82)90016-2.

© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail: journal@computeroptics.ru ; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20