The paper is focused on the behavioral simulation of the lenses, defined by geometric characteristics (radius, thickness and diameter) and material characteristics, for a certain incident wavelength. The simulation provides a representative layout of the raytracing for refraction and for the second and third reflection on lens surfaces. At the same time, the user can display the rays distribution on a normal plane related to optical axis direction. The authors designed the simulation program and a graphic user interface as a tool to evaluate the parasite images caused by multiple reflections in the specter available for chosen material. Thus, the image disparity for a certain parameter will influence the transmittance through lenses for some radiation or specter. The simulation program is designed to be used in optics, optometry, to analyze the behavior of refractive components and can predict the useful diameter of lenses, diaphragms or aperture stop. The program is also useful, for example, for anyone interested to see how lenses work if the internal reflection of the light on the lens surfaces is considered. The idea of the program comes from the fact that with other ray tracing software and their toolboxes, the multiple reflections are not obvious. The developed simulation program and interface can highlight the ray distribution in an image plane as being suggestive for the ghost images presence and of lens aberrations. Also, there can be easily predicted some geometrical placements in the optical layout, the dimensions of the main apertures and the position of the second order images due to multiple reflection and refraction.
The paper presents a solution for inspection of contact lens based on machine vision. Being characterized by a high degree of automation the proposed system satisfies the current manufacturing requirements that require short times to obtain the final product. The machine vision system(MVS) proposed integrates two classic systems used in the inspection process: a profile projector and a system for image acquisition and processing. For validating the results, three contact lenses from the same batch were inspected generating the possibility to identify possible defects or technological errors from manufacturing process. Evaluated parameters were the lens diameter(LD), front optical radius(FOR) and the front peripheral radius(FPR) of the lens. The study presents a series of important conclusions about the possibility of integrating vision systems(VS) in the contact lens inspection process, as well as the performance of the proposed system.
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