An automatically detecting system for the shaping of transparent parts is designed and achieved. The
system is based on detecting laser spots for profile shaping. During the transmission of the laser beam
conveyed on the surface of transparent parts emitted from a He-Ne laser, the laser spot is captured by a
CCD (Charge-coupled Device) camera. When the transparent part is shaped, the laser beam is blocked
by parts and the laser spot decreases. Three key points on the surface of transparent part is monitored
from three lasers, which realize the flexible forming of transparencies. Moreover, the inspection of
changing laser spot is investigated, and the basis points of lasers and CCD cameras in horizontal and
vertical direction are located by mechanical devices. The whole measurement for the profile detection
of laser spot includes four steps: image capturing, image preprocessing, contour extracting and
selecting, fitting and calculating. The changes of laser spot can be measured and the threshold value
can be converted into the control of transparent parts’ shaping based on the mathematical method.
Using the proposed method, a real transparent object is measured. Experimental results show that the
proposed measurement system is effective and feasible.
Because the forming process of transparent surface is entirely artificial, it is difficult to
meet the requirements of real-time and high precision. In this paper, the laser monitoring system
solution can solve this problem. This system consists of three parts, a laser, a CCD camera, and a
computer. The laser beam is injected to the transparent surface, and received by the CCD camera.
The image is processed by the computer in real-time. By the changes of laser spot during the
forming process, a solution is proposed to calculate the difference between the two spot images,
which determines the change of height. The experimental results show that when the
transparent surface grows 1mm, the effective axial length changes 30 pixels. After multiple
measurements, we obtain the relationship curve between the height of the transparent surface
and effective axial length. According to the curve, we calculate the measurement error is 2.725%.
The processing speed of computer is also measured. It can process 10 pictures per second. The
algorithm reflects superiority in both accuracy and processing speed.
We report an experiment of de-multiplexing automatically in a polarization division multiplexing system using a DSP
based de-multiplexer. The searching algorithm was a modified Particle Swarm Optimization. We successfully
demonstrated the de-multiplexing scheme both in a 2x10-Gb/s PolMux-NRZ-OOK system and a 40-Gb/s PolMux-RZ-DQPSK