KEYWORDS: Digital image correlation, Deformation, Cameras, 3D metrology, Digital imaging, Design, 3D image processing, Turbines, Tunable filters, Sensors
The accurate characterization of engine blade strain field and its change history is of great significance to ensure the safety of aircraft service and guide the material selection and structural design of the new generation of blades. However, because of its work in the complex environment of space limitation and multi-physical field coupling, the traditional detection methods are not applicable, and there is an urgent need to develop a three-dimensional visual imaging technology with simple structure and reliable performance. In this paper, a digital image correlation measurement method based on a single color camera is proposed, using specially designed filters and imaging lenses to cooperate with each other to ensure the spatial resolution of the acquired image while reducing the cost, and the related experiments confirm the effectiveness of this scheme in improving the accuracy of engine blade deformation measurement. It should be noted that the method is equally beneficial to other target reconstruction and scene perception problems in other complex environments and restricted spaces.
This article describes the design of an optical system using multi-wavelength illumination and dispersion principle to achieve iris recognition imaging with a large depth of field in noncooperative environments. Through the use of optical design software, the iris acquisition imaging system was designed with the modulation transfer function (MTF) curve serving as the evaluation criteria for this system. It was found that at different object distances, the MTF value at a spatial frequency of 100 lp/mm is greater than 0.33, indicating that the iris acquisition imaging system has a significant depth of field. To further validate the performance of the system, we set up an actual optical platform based on the parameters designed by the optical design software for the iris acquisition imaging system and conducted iris image acquisition experiments at different object distances, obtaining iris images of three different individuals. We performed algorithm verification on the iris recognition of the three sets of iris images and found that the average interclass matching result was 0.44, while the average intraclass matching result was 0.30, demonstrating a high level of accuracy in iris recognition. This indicates that the iris images obtained by the system have a high resolution, thereby confirming the feasibility of depth extension using multi-wavelength illumination and lens chromatic aberration imaging principle. It is worth mentioning that this method is not only applicable to iris recognition but also holds reference value in other biometric recognition fields.
The concentration and composition of bioaerosols in the ambient air are closely related to human health. Obtaining real-time information on the types of bioaerosols is a challenge for bioaerosol monitoring today. Aiming to realize automatic detection with low cost and low false alarm rate, we describe a bioaerosol detection system with dual fluorescence receiving channels excited by ultraviolet light. The system uses 280-nm UV-LED to excite the intrinsic fluorescence of biological particles, and according to the emission bands of NADH, riboflavin, and tryptophan, it is divided into two fluorescence bands: 330 to 420 nm and 420 to 650 nm. A series of experiments were conducted to evaluate the detection capability of the system. The results showed that the system has good consistency with the culture method in concentration detection and has good reproducibility. We detected multiple types of aerosol particles. By comparing the fluorescence intensity of the two bands, the system can not only distinguish between fluorescent and nonfluorescent particles but also preclassify the biological particles into four categories: proteinaceous substances and microorganisms with tryptophan as the main component, dust particles in the air, plant cells and debris, and cigarette burning smoke.
A portable and sensitive laser-induced fluorescence device combined with specific probes is developed for detecting the concentration of metal ions in solution. A 405nm laser diode is applied as an excitation light source to excite the fluorescence of the experimental materials, which is coupled into an optical fiber through a collimating and focusing lens group and then introduced into the spectrometer. Sterile water, alcohol and blue fluorescent microspheres are used to evaluate the detection capability of the device. We compared the fluorescence spectrum of probe solution mixed zinc ions with different concentrations from our device and a commercial fluorescence spectrophotometer. The detection sensitivity of our device is the same as the commercial spectrophotometer, and because of its small size, it can be used for on-site heavy metal detection.
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