Sarun Sumriddetchkajorn

Digitally controlled fault-tolerant multiwavelength programmable fiber-optic attenuator using a two-dimensional digital micromirror device

A digitally controlled multiwavelength variable fiber-optic attenuator using a two-dimensional digital micromirror device (DMD) is introduced. The results from an experimental four-wavelength (i.e., 1546.92, 1548.52, 1550.12, and 1551.72 nm) proof-of-concept attenuator indicate a 26-dB dynamic range and 11-bit resolution. The measured attenuator average coherent optical cross talk per wavelength channel is -38 dB , limited by the additive noise resulting from the nonideal isolation of the optical circulator and the attenuator module. The average optical loss for our experimental attenuator is 15 dB and is limited mainly by the visible-mode DMD that is used as a 1550-nm infrared window device. Our theoretical estimate of a <8-dB loss optimized attenuator can be used for equalization in multiwavelength fiber-optic communications with as many as 108 wavelengths.

Micro-electro-mechanical system-based digitally controlled optical beam profiler

An optical beam profiler is introduced that uses a two-dimensional (2-D) small-tilt micromirror device. Its key features include fast speed, digital control, low polarization sensitivity, and wavelength independence. The use of this 2-D multipixel device opens up the important possibility of realizing several beam profile measurement concepts, such as a moving knife edge, a scanning slit, a moving pinhole, a variable aperture, and a 2-D photodiode array. The experimental proof of the optical beam profiler concept using a 2-D digital micromirror device to simulate the 2-D moving knife edge indicates a small measurement error of 0.19% compared with the expected number based on a Gaussian beam-propagation analysis. Other 2-D pixel arrays such as a liquid-crystal-based 90 degrees polarization rotator sandwiched between crossed polarizers can also be exploited for the optical beam whose polarization direction is known.

Fault-tolerant three-port fiber-optic attenuator using small tilt micromirror device

Abstract A programmable three-port fiber-optic attenuator is introduced using a small tilt micromirror device. Each port can be assigned to function as the input or the output port. Key features via the macro-pixel approach include digital control, alignment tolerance, and high speed. Experimental proof of concept demonstration using a two dimensional digital micromirror device (DMD TM ) shows a 37.8 dB dynamic range at the output port and a measured 20.4 dB maximum optical attenuation at the monitoring port with an 11-bit resolution. The measured optical loss at the output port is 8 dB and is limited by the visible design DMD TM , the freespace coupling efficiency, and a fiber adapter.

Fault-tolerant dense multiwavelength add-drop filter with a two-dimensional digital micromirror device.

A two-dimensional digital micromirror device- (DMD-) based add-drop filter is introduced for dense wavelength-division multiplexed applications. Features of the filter include polarization-insensitive operation, low interchannel cross talk parallel processing, and a fault-tolerant design. Experiments include evaluation of a parallel-beam-fed interchannel cross-talk with a 25-beam mask and a three-color (red, green, blue) filter operational test that indicates output-port average switching optical signal-to-noise and multiwavelength cross-talk ratios of 24 dB. The DMD-based average optical loss for the filter is -2.85 dB for visible-light free-space operation, whereas a -8.88-dB optical loss is measured for a fiber-coupled filter operating at 1319 nm.

Hyperspectral imaging-based credit card verifier structure with adaptive learning.

We propose and experimentally demonstrate a hyperspectral imaging-based optical structure for verifying a credit card. Our key idea comes from the fact that the fine detail of the embossed hologram stamped on the credit card is hard to duplicate, and therefore its key color features can be used for distinguishing between the real and counterfeit ones. As the embossed hologram is a diffractive optical element, we shine a number of broadband light sources one at a time, each at a different incident angle, on the embossed hologram of the credit card in such a way that different color spectra per incident angle beam are diffracted and separated in space. In this way, the center of mass of the histogram on each color plane is investigated by using a feed-forward backpropagation neural-network configuration. Our experimental demonstration using two off-the-shelf broadband white light emitting diodes, one digital camera, and a three-layer neural network can effectively identify 38 genuine and 109 counterfeit credit cards with false rejection rates of 5.26% and 0.92%, respectively. Key features include low cost, simplicity, no moving parts, no need of an additional decoding key, and adaptive learning.

Micromechanics-based wavelength-sensitive photonic beam control architectures and applications

Micromechanics-based wavelength-sensitive photonic delay and amplitude control modules are introduced for multiwavelength photonic applications such as hardware-compressed beam forming in phased-array antennas, timing-error compensation in high-speed long-haul fiber-optic communication networks, and pulse synchronization in photonic analog-to-digital converters and space-time code division multiplexed decoders. The basic delay structure relies on a single-circulator compact reflective parallel path design that features polarization insensitivity, independently controllable optical time-delay and amplitude settings, and fiber compatibility. Switched fiber time delays are proposed that use various micromechanical mechanisms such as mechanically stretched fiber Bragg gratings with comb-drive translational stages or magnetic levitation-based stretchers. Additional, shorter-duration variable time delays are obtained by means of the translational motion of external mirrors and the inherent delays in the zigzag reflective path geometry of the bulk-optic thin-film interference filter-based wavelength multiplexer used in our proposed design. Experiments are performed to test these concepts.

Demonstration of a single-wavelength spectral-imaging-based Thai jasmine rice identification

A single-wavelength spectral-imaging-based Thai jasmine rice breed identification is demonstrated. Our nondestructive identification approach relies on a combination of fluorescent imaging and simple image processing techniques. Especially, we apply simple image thresholding, blob filtering, and image subtracting processes to either a 545 or a 575 nm image in order to identify our desired Thai jasmine rice breed from others. Other key advantages include no waste product and fast identification time. In our demonstration, UVC light is used as our exciting light, a liquid crystal tunable optical filter is used as our wavelength seclector, and a digital camera with 640 active pixels × 480 active pixels is used to capture the desired spectral image. Eight Thai rice breeds having similar size and shape are tested. Our experimental proof of concept shows that by suitably applying image thresholding, blob filtering, and image subtracting processes to the selected fluorescent image, the Thai jasmine rice breed can be identified with measured false acceptance rates of <22.9% and <25.7% for spectral images at 545 and 575 nm wavelengths, respectively. A measured fast identification time is 25 ms, showing high potential for real-time applications.

BaiKhao (rice leaf) app: a mobile device-based application in analyzing the color level of the rice leaf for nitrogen estimation

As the color level of the rice leaf corresponds to the nitrogen status of rice in the field, farmers use a leaf color chart (LCC) to identify the color level of the rice leaf in order to estimate the amount of N fertilizer needed for the rice field. However, the ability of the farmers and degeneration of the LCC color affect the accuracy in reading the rice leaf color level. In this paper, we propose a mobile device-based rice leaf color analyzer called “BaiKhao” (means rice leaf in Thai). Our key idea is to simultaneously capture and process the two-dimensional (2-D) data scattered and reflected from the rice leaf and its surrounding reference, thus eliminating expensive external components and alleviating the environmental fluctuation but yet achieving a high accuracy. Our field tests using an Android-based mobile phone show that all important leaf color levels of 1, 2, 3, and 4 can be correctly identified. Additional key features include low cost and ease of implementation with highly efficient distribution through the internet.

Data-nonintrusive photonics-based credit card verifier with a low false rejection rate

We propose and experimentally demonstrate a noninvasive credit card verifier with a low false rejection rate (FRR). Our key idea is based on the use of three broadband light sources in our data-nonintrusive photonics-based credit card verifier structure, where spectral components of the embossed hologram images are registered as red, green, and blue. In this case, nine distinguishable variables are generated for a feed-forward neural network (FFNN). In addition, we investigate the center of mass of the image histogram projected onto the x axis (I(color)), making our system more tolerant of the intensity fluctuation of the light source. We also reduce the unwanted signals on each hologram image by simply dividing the hologram image into three zones and then calculating their corresponding I(color) values for red, green, and blue bands. With our proposed concepts, we implement our field test prototype in which three broadband white light light-emitting diodes (LEDs), a two-dimensional digital color camera, and a four-layer FFNN are used. Based on 249 genuine credit cards and 258 counterfeit credit cards, we find that the average of differences in I(color) values between genuine and counterfeit credit cards is improved by 1.5 times and up to 13.7 times. In this case, we can effectively verify credit cards with a very low FRR of 0.79%.

Versatile multi-wavelength fiber-optic switch and attenuator structures using mirror manipulations

Abstract Compact frequency-selective fiber-optic switch (FOS) and attenuator structures are proposed based on the use of 2N hinge-type flapping micromirrors in a linear array geometry and piston-type micromirrors in a two dimensional (2D) array format. The flapping micromirrors are designed to be positioned in a compact low-loss in-line geometry that provides ease in optical alignment. The results of an experimental 4-wavelength proof of concept FOS using two macro-mirrors shows an average optical interchannel crosstalk of