Automated visual position detection and adjustment for optical waveguide chips and optical fiber arrays

Abstract

The alignment coupling between optical waveguide chips and optical fiber arrays is the basis of the alignment coupling of planar optical waveguide devices, and the precise position detection with angle and spacing adjustments is one of the key steps of alignment coupling. A methodology for position detection, and angle and spacing adjustment was proposed for optical waveguide chips and optical fiber arrays based on machine vision. The experimental results show angle detection precision levels higher than 0.05°, line detection precision levels higher than 0.1 μm, and detection time less than 2 s. Therefore, the system developed herein meets the precise requirements necessary for position detection, and angle and spacing adjustments for optical waveguide chips and optical fiber arrays.

Keywords

planar optical waveguide / alignment coupling / automated alignment / machine vision

References

[1] ZhengY, DuanJ A. Alignment algorithms for planar optical waveguides [J]. Optical Engineering, 2012, 51(10): 103401-1

[2] ZhengY, DuanJ A. Transmission characteristics of planar optical waveguide devices on coupling interface [J]. Optik-International Journal for Light and Electron Optics, 2013, 124(21): 5274-5279

[3] ZHENG Y, DUAN J A. Automatic planar optical waveguide devices packaging system based on polynomial fitting algorithm [J]. Advances in Mechanical Engineering, 2013, 2013: 398092-1-6.

[4] TangZ, ZhangR, MondalS K, ShiF G. Optimization of fiber-optic coupling and alignment tolerence for coupling between a laser diode and a wedged single-mode fiber [J]. Optics Communication, 2001, 199(1/2/3/4): 95-101

[5] ChunJ, WuY L, DaiY F, LiS Y. Fiber optic active alignment method based on a pattern search algorithm [J]. Optical Engineering, 2006, 45(4): 045005-1

[6] ZhengY, DuanJ-a. Coupling analysis between planar optical waveguide and fiber array [J]. Journal of Central South University (Science and Technology), 2009, 40(3): 681-686

[7] SauvolaJ, PietikÄInenM. Adaptive document image binarization [J]. Pattern Recognition, 2000, 33(2): 225-236

[8] WangB, LiX F, LiuF, HuF Q. Color text image binarization based on binary texture analysis [J]. Pattern Recognition Letters, 2005, 26(11): 1650-1657

[9] YitzhakyY. A method for objective edge detection evaluation and detector parameter selection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(8): 1027-1033

[10] CannyJ F. A computational approach to edge detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(6): 679-698

[11] GrimsonW E, HildrethE C. Comments on digital step edges from zero crossings of second directional derivatives [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985, 7(1): 121-129

[12] DeansS R. Hough transform from the radon transform [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1981, 3(2): 185-188