1146 results about "Optical property" patented technology

The invention relates to the technical field of cloth dyeing uniformity detection, in particular to a cloth dyeing uniformity detection method and system based on image analysis, and the method comprises the steps: building a three-dimensional optical response model according to the optical characteristics of a fluff cloth fiber material; calculating to obtain a villus shadow intensity distribution diagram according to the linear polarization degree image data, and calculating to obtain a theoretical artifact reflectivity distribution diagram through a three-dimensional optical response model according to the villus shadow intensity distribution diagram and the surface normal vector mapping data; extracting an actual measurement reflectivity distribution diagram from the hyperspectral image data, and performing differential operation on the actual measurement reflectivity distribution diagram and the theoretical artifact reflectivity distribution diagram to obtain a real dyeing component diagram; dividing villus unit grids on the real dyeing component graph, and calculating a spectral fingerprint variance value of pixels in each villus unit grid; and when the spectral fingerprint variance value exceeds a preset process tolerance threshold value, judging that the corresponding fluff unit grid has a real dyeing defect. And the identification precision of the dyeing defects of the fluff cloth is effectively improved.

The invention discloses a skin targeted therapy laser control method and system based on a dual-wavelength synergistic effect, and the method comprises the steps: collecting the real-time morphological characteristics and pigment distribution data of skin tissues through a multispectral imaging unit, and recognizing the optical characteristic parameters of a target treatment region; generating a dual-wavelength combination scheme through a dynamic wavelength selection algorithm based on the optical characteristic parameters and the tissue structure characteristics of the target treatment area; according to a dual-wavelength combination scheme, generating a synergistic laser sequence with a specific pulse interval and energy ratio; the synergistic laser sequence is converted into a driving signal, and a dual-wavelength laser is controlled to output composite laser; and laser output parameters are dynamically adjusted through real-time thermal diffusion monitoring and an optical feedback mechanism. By utilizing the embodiment of the invention, accurate and selective heat dissipation of skin target tissues can be realized, surrounding normal tissues are effectively protected, the treatment safety and effectiveness are improved, and side effects are reduced.

The invention relates to a material that is at least partially transparent and that has structures introduced into its internal volume after material production, which modify the volume with respect to its optical properties compared to the unstructured volume. The material according to the invention is characterized by its formation as an at least partially transparent surface coating, wherein the structure comprises modification bubbles that are formed in at least one plane within the volume.

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention relates to the technical field of unmanned aerial vehicle searchlighting control, in particular to an unmanned aerial vehicle searchlighting control system, which comprises a multi-source data acquisition module for acquiring a water surface image and unmanned aerial vehicle flight data; the water surface type analysis module is used for judging a calm or wave water surface according to the image gray variance and the edge density; the searchlighting output sub-control module is used for selecting a lamp control strategy according to a water surface type, identifying a high-confidence target in combination with multiple features and determining a wick power distribution parameter; the searchlighting output execution module drives the lampwick to illuminate according to the parameters; the target real-time tracking module is used for calculating the projection angle adjustment amount of the searchlight to aim at the target; according to the system and the method, the problem that an existing searchlight system cannot dynamically adapt to water surface optical characteristics, suppress reflection interference and accurately illuminate in a complex water environment at night can be solved, and the accuracy and efficiency of target recognition are remarkably improved.

The invention relates to the technical field of three-dimensional scanning, and particularly discloses a three-dimensional scanning efficiency and precision balancing method and system based on a self-adaptive sampling strategy. The method comprises the following steps: acquiring prior data and scanning state data of a target object, fusing an initial three-dimensional point cloud, a multispectral reflection image and reflection intensity information, accurately extracting and correcting surface curvature distribution characteristics, generating a local geometric feature vector sequence by combining geometric and optical characteristics, quantifying a scanning priority, marking a scanning path based on the sequence, and obtaining a target three-dimensional point cloud image. A scanning strategy matrix is constructed by combining equipment geometric positioning precision, maximum scanning speed and time constraint, differential scanning parameter matching is realized, a local compensation sub-path is dynamically generated through real-time quality monitoring during scanning, a main path and a supplementary scanning path are spliced, and an output result is output, so that scanning efficiency and precision are pointedly balanced, and the scanning precision is improved. Local data missing or quality reduction is avoided, the accuracy of the key area is guaranteed, and the overall scanning efficiency is improved.

The invention discloses a three-dimensional packaging modeling method based on NeRF and a diffusion model, and the method comprises the steps: firstly receiving demand description information, fusing packaging physical constraint conditions for joint coding, and forming a comprehensive condition vector; secondly, a cross-path dynamic information exchange mechanism is established through a geometric generation path and a texture optimization path, an initial three-dimensional packaging model is generated, physical consistency constraints are added, and NeRF is used for conducting volume rendering reconstruction on the initial three-dimensional packaging model; and then introducing an observation distance adaptive dynamic scale perception neural radiation field optimization mechanism, and generating a multi-scale NeRF model after scale perception optimization. And finally, establishing mapping of physical attributes and optical characteristics of the packaging materials, and generating a final three-dimensional packaging model through independent optical calculation and physical synthesis processes of the multi-layer materials. According to the method, the semantic understanding deviation of CLIP coding in vertical field application is solved, and the material reality representation of industrial-grade three-dimensional packaging modeling is realized.

The methods described herein provide improvements in composite infrared absorption imaging. The scanning approach described herein reduces erroneous measurements caused by thermal drift and optical interference that occurs between light scattering from the top surface of the sample and light scattering from the underlying substrate. Embodiments described herein relate to imaging and spectroscopy, and more particularly, to improvements in photo-thermal imaging and spectroscopy systems, and techniques for obtaining spectral information characterizing optical properties and / or materials or chemical compositions of a sample, such as information related to infrared (IR) absorption spectroscopy.

This disclosure provides compositions of electrochromic dyes, functionalized electrochromic dyes and dye macromers which may be incorporated into electrochromic devices with tailored optical properties. The disclosure provides an electrochromic dye with an attached functionalization group wherein the said dye colors by at least one of oxidation and reduction and contains at least two moieties wherein a first moiety is electrochromic and a second moiety is an electrochromic moiety, an electron donating moiety, or an electron receiving moiety and wherein the functionalization group. This disclosure also provides EC compositions and devices for controlling color.

To provide technology suitable for performing highly precise measurement of optical characteristics.SOLUTION: An evaluation method for evaluating an optical characteristic of a projection optical system is provided. The evaluation method includes a measurement step of illuminating a test reticle having a test pattern disposed on an object plane of the projection optical system, and measuring an amount of positional deviation of an image of the test pattern formed on an image plane of the projection optical system, and an estimation step of estimating the optical characteristic of the projection optical system based on a result of the measurement, wherein in the estimation step, the optical characteristic is estimated using a polynomial model including a regularization term.SELECTED DRAWING: Figure 2

The invention discloses an online quality monitoring method and system for fine dried noodle production and a storage medium. The method comprises the following steps: acquiring initial optical characteristic data of surface and internal tissues of the fine dried noodles, acquiring multiband reflection and transmission light signals through spectral analysis equipment, and determining initial characteristic distribution of surface dispersion and internal pore structures of the fine dried noodles; light source parameters are adjusted according to the initial optical characteristic data, and optimized light source parameter configuration is obtained; applying the optimized light source parameter configuration to a detection area through an optical fiber light guide technology to obtain scattering spectrum data; processing the scattered spectrum data to obtain an enhanced spectrum signal; analyzing the enhanced spectral signal through a spectral decomposition algorithm, and determining the tissue uniformity distribution of the fine dried noodles; according to the fine dried noodle tissue uniformity distribution, judging fine dried noodle quality indexes by adopting a classification algorithm to obtain a quality evaluation result; and generating real-time feedback data of the fine dried noodle production line according to a quality evaluation result, integrating quality indexes of multiple batches of fine dried noodles, and determining production optimization parameters.

The application provides a glass structure and an electronic device. The glass structure comprises a glass substrate and a first optical scratch-resistant layer, a second optical scratch-resistant layer and a first superhard layer which are sequentially stacked on one side of the glass substrate, the first optical scratch-resistant layer is formed by alternately stacking two layers of materials with different refractive indexes, the second optical scratch-resistant layer is formed by stacking three layers of materials with different refractive indexes, and the first superhard layer is a diamond-like layer doped with at least one element selected from silicon, aluminum, titanium, zirconium, molybdenum and nitrogen. The glass structure has good scratch resistance and optical properties which change little compared with the glass substrate, and can better meet the long-term use requirements of the electronic device shell.

The invention discloses a glass-based circuit board defect detection method and system, and relates to the technical field of glass substrate defect detection.The method comprises the steps that an optical coherence tomography system with the fixed scanning resolution of 320 * 320 is used for collecting a tomographic image of a target area, three-dimensional reconstruction is conducted on the tomographic image, and a three-dimensional body data model is obtained; extracting a plurality of three-dimensional morphological characteristics such as defect depth, transverse distribution profile and defect internal refractive index unevenness from the model; and inputting the features into a defect classifier constructed based on a three-dimensional convolutional neural network for identification, and performing spatial position verification in combination with a known design layout to generate a final detection report. According to the method, the standardization of the detection process is realized through the fixed scanning resolution, and the efficiency and the result consistency are improved; by quantifying the refractive index non-uniformity in the defect, the optical property variation type defect in the material is effectively identified, and the detection depth and accuracy are enhanced.

An FM LIDAR system is described that includes a frequency modulated LIDAR system that incorporates a laser source that is optically coupled to a whispering gallery mode optical resonator. Light from the laser that is coupled into the whispering gallery mode optical resonator is coupled back out as a returning counterpropagating wave having a frequency characteristic of a whispering gallery mode of the optical resonator. This returning wave is used to reduce the linewidth of the source laser by optical injection. Modulation of the optical properties of the whispering gallery mode optical resonator results in modulation of the frequency of the frequencies supported by whispering gallery modes of the resonator, and provides a method for producing highly linear and reproducible optical chirps that are highly suited for use in a LIDAR system. Methods of using such an FM LIDAR system and vehicle assisting systems that incorporate such FM LIDAR systems are also described.

A method of monitoring a subject with an opto-physiological sensor system is described herein. The method comprises obtaining a model of the optical properties of at least one body tissue type to be monitored, wherein the model of the optical properties comprises a definition of static (DC) and dynamic (AC) components of transmitted optical power and a definition of a source-detector separation related to a normalised path length for an illumination source of the opto-physiological sensor: obtaining an indication of at least one physiological property of the subject from a wearable device worn by the subject: obtaining an indication of at least one physical variable from the wearable device worn by the subject; determining, using the opto-physiological model, how the at least one physical variable affects the at least one physiological property; and determining a corrected value for the physiological property based on the determination of how the at least one physical variable affects the at least one physiological property.

The invention discloses a rheology-birefringence combined in-situ testing device and method based on chopper rotation frequency signals, belongs to the technical field of optical testing, and aims to solve the technical problems that an existing Spark-FB device is low in measurement accuracy and limits application scenes. The laser emitter emits a light beam along a set angle (forming an angle of 45 degrees with the horizontal plane), the light beam is converted into linearly polarized light through the polarizer, and an optical signal is modulated through the rotating chopper; the modulated light beam penetrates through a polymer sample to which a shear flow field is applied by a commercial rheometer, and transmission light carrying optical anisotropy information of the sample sequentially passes through a 1 / 4 wave plate and a polarization analyzer, and is finally received by a photoelectric detector and transmitted to a lock-in amplifier for analysis. According to the invention, an independent datum reference signal is provided through the chopper, decoupling and combination of a commercial rheometer and a birefringence light path are realized, and synchronous and accurate in-situ measurement of rheological and optical properties of a high polymer material under a deformation condition can be realized.

Systems and methods are provided for improving overall vision in patients suffering from a loss of vision in a portion of the retina (e.g., loss of central vision) by providing symmetric or asymmetric optic with aspheric surface which redirects and / or focuses light incident on the eye at oblique angles onto a peripheral retinal location. The intraocular lens can include a redirection element (e.g., a prism, a diffractive element, or an optical component with a decentered GRIN profile) configured to direct incident light along a deflected optical axis and to focus an image at a location on the peripheral retina. Optical properties of the intraocular lens can be configured to improve or reduce peripheral errors at the location on the peripheral retina. One or more surfaces of the intraocular lens can be a toric surface, a higher order aspheric surface, an aspheric Zernike surface or a Biconic Zernike surface to reduce optical errors in an image produced at a peripheral retinal location by light incident at oblique angles.

The invention relates to the technical field of image processing, and discloses an infrared super-lens image quality enhancement method based on fusion of double-path decoding and physical perception prompt, which comprises the following steps: S1, generating a physical parameter prompt, acquiring geometric and optical characteristic parameters of an infrared super-lens, and converting the parameters into textualized prompt vectors; s2, constructing a data set; s3, cross-modal feature coding and fusion are carried out; and S4, carrying out double-path decoding and reconstruction. According to the infrared super-lens image quality enhancement method based on the fusion of the two-way decoding and the physical perception prompt, by introducing physical parameter prompt and cross-modal feature fusion, the imaging physical prior of an infrared super-lens is effectively fused into a network, so that a model can understand a degradation source and imaging constraints; and deep collaboration of visual information and physical attributes is realized in a feature extraction process. The design not only enhances the adaptability of the model to a complex imaging system, but also improves the interpretability and robustness of an enhancement result.

The invention relates to the technical field of machine vision, and discloses a cold-rolled strip steel surface defect detection method which comprises the following steps: acquiring a multi-modal image sequence of a to-be-detected surface; inputting the sequence into a pre-trained generative adversarial reconstruction network, and determining surface defect information by calculating a residual error between an original input sequence and a reconstruction sequence output by the network; wherein the generative adversarial reconstruction network is trained only by using defect-free samples, and a composite loss function adopted in the training process of the generative adversarial reconstruction network comprises a physical consistency loss. The loss item is calculated based on a preset physical optical digital twinning model used for describing optical characteristics of the ideal defect-free surface. By utilizing physical optical digital twinning and online self-calibration, high-sensitivity detection of unknown defects is realized, and long-term stability of the system under a dynamic working condition is guaranteed.

The invention relates to the field of perovskite light-emitting diodes, in particular to a perovskite light-emitting diode and a preparation method thereof.The perovskite light-emitting diode comprises a substrate, an anode layer, an anode interface layer, a perovskite light-emitting layer, a cathode interface layer, a cathode interface modification layer and a cathode layer, the perovskite light-emitting layer is prepared from a perovskite precursor solution containing a cosolvent, and the cosolvent is used for accelerating the improvement of the concentration of the perovskite precursor solution, thereby increasing the number of generated perovskite crystal nucleuses during the crystallization of the perovskite thin film. The co-solvent is doped in the perovskite precursor solution and is matched with a flash evaporation process, so that a liquid film quickly reaches a supersaturated state, more crystal nucleuses are formed in the liquid film, the optical property of a perovskite light-emitting layer is effectively improved, the surface appearance of the light-emitting layer is optimized, and the performance and the stability of a light-emitting device are improved.

The invention discloses an electronic device. The electronic device comprises a display panel; the cover plate is arranged relative to the display panel, and the cover plate comprises a substrate; the photocatalyst layer is arranged on the substrate; and the light adjusting layer is arranged on the substrate, and the light adjusting layer is used for adjusting the optical property of the ultraviolet light entering the cover plate.

The invention belongs to the related technical field of semiconductor doping, and discloses a method for acquiring a second harmonic signal of non-uniform ion implantation doping concentration and an application of the second harmonic signal of the non-uniform ion implantation doping concentration. Determining refractive indexes and absorption coefficients of different depth positions of the ion implantation doping sample under a specific laser wavelength based on an optical property distribution model in the ion implantation doping sample; s2, calculating fundamental frequency light electric field distribution in the doped sample based on the obtained refractive index and absorption coefficient; s3, calculating the polarization intensity and effective second-order polarizability of the non-uniform doped ion implantation sample based on the simplified bond hyperpolarizability model and the fundamental frequency photoelectric field distribution; and S4, calculating far-field second harmonics of the corresponding layers at a predetermined observation angle based on the obtained polarization intensity or effective second-order polarizability of each layer, and carrying out integration on the far-field second harmonics corresponding to all layers to obtain the total intensity of the second harmonics of junction depth far-field radiation. According to the invention, the problem that the measurement sensitivity and repeatability are reduced is solved.

The present application relates to photostabilized or “self-healing” dyes that are constructed by attaching an azoaryl unit to a parent dye such that its optical properties are improved, particularly its optical properties that are most relevant in highly-demanding imaging, including instant brightness, signal stability, photon budget, and rate of detecting localisations. Therefore the compounds of the invention can be useful for high-performance imaging, e.g. delivering higher spatial and temporal resolution, within a shorter experimental acquisition time, and with more confidence, whether in oxygen-free conditions or in aerated conditions.

The invention discloses a curtain wall light evaluation rapid calculation method based on Rhino, relates to the technical field of curtain wall light environment evaluation, and is used for solving the problems of complex modeling and low calculation efficiency of traditional curtain wall light evaluation. According to the method, an integrated three-dimensional model containing a site environment, a target building and an indoor space is built through Rhino, and data adaptation, coordinate calibration and fine modeling are completed; based on Grasshopper, defining three types of core parameters of optical attributes, geographic position data and meteorological data of the material, and constructing an associated data set; solar radiation and reflected light are calculated according to scenes, and reverse tracking and Ladybug algorithm coupling optimization calculation is combined; visualizing simulation results and extracting quantitative indexes, and generating targeted curtain wall design optimization measures; the curtain wall light environment is quickly and accurately simulated, and the light evaluation efficiency and the calculation precision are remarkably improved.

The invention relates to the technical field of composite materials, in particular to a sound-insulation and heat-insulation composite material and a preparation method thereof.Multiple modified filler components with special structures and performance are introduced into the composite material, and a good sound-insulation and heat-insulation effect is achieved through the synergistic effect; modified hollow glass beads in the modified filler component have a hollow structure, and the structure can effectively block the transmission of sound and heat and play a role in sound insulation and heat insulation; the sulfur-loaded modified multi-walled carbon nanotube has a unique tubular structure, can increase the scattering and reflection paths of sound waves and heat flow in the material, and reduces the conduction efficiency of sound and heat; the nano silicon dioxide modified graphene oxide has a layered structure, and a large number of tiny pores can be formed between layers, so that transmission of sound and heat is further hindered; meanwhile, cesium tungsten bronze nano-powder is selected as the PVC heat insulation agent, and the substance has excellent optical performance and can reflect and scatter infrared rays and reduce heat transfer through radiation.

The invention discloses glass with spectral selectivity, a window and an optical design method, and belongs to the technical field of glass. The glass with spectral selectivity comprises a radiation cooling layer, a photon structure regulation and control layer and a substrate which are sequentially arranged from the outer side to the inner side, the outer side is a heat energy incidence side, and the inner side is a side needing temperature control; the mid-infrared light emissivity of the radiation cooling layer is greater than or equal to 90%; the photonic structure regulation and control layer is designed based on an effective medium theory and optical topology transformation, and meets the following optical properties: the reflectivity to an ultraviolet band is greater than or equal to 80%, the transmittance to a visible light band is greater than or equal to 75%, and the reflectivity to a near-infrared band is greater than or equal to 80%. Independent and accurate management of ultraviolet, visible light and near-infrared bands can be achieved, meanwhile, the radiation cooling layer conducts active heat dissipation, and indoor temperature control balance is maintained.

The invention discloses nitrogen-doped carbon quantum dots derived from American cockroach dregs as well as a preparation method and application of the nitrogen-doped carbon quantum dots, and belongs to the technical field of nitrogen-doped carbon quantum dots. The nitrogen-doped carbon quantum dots are prepared from the American cockroach dregs by a one-step hydrothermal method, optimal synthesis parameters are obtained through experimental optimization of synthesis conditions, and the prepared nitrogen-doped carbon quantum dots have excellent optical characteristics and stability; the invention also provides an application of the nitrogen-doped carbon quantum dot in Ag < + > detection, the nitrogen-doped carbon quantum dot has good selectivity, sensitivity and anti-interference performance on Ag < + >, a detection mechanism is an internal filtering effect and light-induced electron transfer, and the nitrogen-doped carbon quantum dot can be used as a preferred fluorescent material of an Ag < + > fluorescent sensor. The nitrogen-doped carbon quantum dots synthesized by the method not only have an Ag < + > sensing function, but also realize high-valued utilization of medicine residues, and also provide a new thought for self-doping of heteroatoms.

The invention relates to an SMT patch defect identification method and system. The method comprises the following steps: acquiring a first image of a welding spot in a first illumination mode, and judging whether the first image has abnormal optical characteristics or not according to the brightness distribution characteristics of the first image; if the optical characteristics of the first image are abnormal, adaptively switching to a second illumination mode, and acquiring a second image of the welding spot in the second illumination mode; acquiring rough position information of a welding spot area in the first image; acquiring fine edge information of a welding spot area in the second image; screening and fusing the fine edge information according to the rough position information to reconstruct a welding spot contour; and on the basis of the reconstructed welding spot contour, welding spot geometric information is calculated, and defect judgment is carried out, so that the misjudgment probability under the condition that the optical characteristics of the welding spots are abnormal is effectively reduced, and the SMT patch defect identification accuracy is remarkably improved.

The invention discloses a high-refractive-index photo-thermal dual-curing optical adhesive and a preparation method thereof, and belongs to the technical field of high polymer materials, and the preparation method comprises the following steps: S1, preparation of high-refractive-index resin: placing biphenyl-4, 4 '-dithiol in a nitrogen atmosphere reaction kettle, adding a free radical thermal initiator, heating to 180-200 DEG C, reacting for 1-2 hours, and cooling to room temperature to obtain the high-refractive-index resin; dropwise adding alkenyl resin under the protection of nitrogen, stirring, reacting for 1-2 hours after dropwise adding, and cooling to room temperature to obtain high-refractive-index resin; s2, preparation of the optical adhesive: mixing the alicyclic epoxy resin, the high-refractive-index resin, the toughened resin, the liquid epoxy resin, the cationic photoinitiator and the cationic thermal initiator, and uniformly stirring in a dark place to obtain the adhesive. The problems that a traditional optical adhesive is poor in optical performance stability and unbalanced in mechanical and optical performance are solved. The application potential of preparing the high-performance optical adhesive is realized.