11675 results about "Refractive index" patented technology

The invention relates to the technical field of light emitting devices, and discloses a control method for a silicon light integrated multi-wavelength light emitting device, and the method comprises the steps: carrying out the grating coupling processing and polarization state separation processing of a plurality of wavelength channels of the silicon light integrated multi-wavelength light emitting device, and obtaining an initial optical characteristic data set; performing temperature response characteristic analysis to obtain a temperature field characteristic parameter set; performing spectral characteristic analysis on the plurality of wavelength channels to obtain wavelength channel characteristic vectors; a wavelength drift coefficient matrix and a refractive index change coefficient matrix are calculated, and a multi-wavelength linkage control data model is generated; according to the method, a hierarchical control structure comprising a quick response layer, a temperature compensation layer and a polarization optimization layer is constructed, multi-wavelength cooperative control operation is executed, and a steady-state control parameter set is output, so that the wavelength stability control precision and the temperature control precision are improved, the adaptive capacity to disturbance of different time scales is enhanced, and the stability of the system is improved. And stable operation under complex working conditions is ensured.

The invention relates to the technical field of filter films, and discloses a filter film thickness detection device and a detection method. The method comprises the following steps: acquiring a first parallel beam, a second parallel beam and a third parallel beam; fixing a to-be-measured filter film sample on a sample table, and measuring the to-be-measured filter film sample to obtain a reflection spectrum and an initial refractive index parameter; irradiating the to-be-measured filter film sample by using the first parallel light beam, the second parallel light beam and the third parallel light beam, dividing the measurement area into a plurality of sub-areas according to the initial refractive index parameter, and fitting by using a least square method to obtain the optimal thickness value and refractive index value of each sub-area; based on the optimal thickness value, the refractive index value and the reflection spectrum, a mapping relation between the spectral reflectivity and the thickness is established, and a target thickness distribution diagram is obtained through iterative algorithm solving and error compensation calculation. According to the invention, the problem of uneven measurement of the thickness of the large-area filter film is solved, and the precision, efficiency and reliability of thickness detection of the filter film are remarkably improved.

The invention relates to the technical field of structure health monitoring, and discloses an underground pipe gallery structure corrosion monitoring and evaluation method based on optical fiber sensing, which comprises the following steps: constructing a composite optical fiber sensing structure which comprises a Fe-C alloy coated optical fiber and a long-period grating, synchronously monitoring the chemical component change and the structural mechanical state of the corrosion product through the photoluminescence spectrum characteristic peak displacement and the strain distribution cloud picture; measuring deviation caused by coating layer loss is dynamically corrected in combination with the change rate of the environment refractive index; a reference grating is embedded to eliminate temperature drift interference, and iron ion in-situ deposition is triggered to realize sensing interface self-repairing. According to the invention, through a multi-physical-quantity cooperative sensing and self-adaptive compensation mechanism, the problems of signal interruption and the like caused by difficult decoupling of chemical-mechanical parameters and film coating failure in traditional monitoring are avoided, the long-term stable monitoring capability of a corrosion process in a complex environment is remarkably improved, and high-precision data support is provided for safety assessment of an underground pipe gallery structure.

The invention discloses a bone joint lesion area automatic labeling method and system based on image processing, and belongs to the field of bone joint lesion area labeling. According to the invention, a bone joint reflection signal is obtained by combining the polarization-state-adjustable laser light source with polarization-sensitive optical coherence tomography, and a three-dimensional birefringence distribution diagram is generated through matrix analysis. And after non-local mean filtering is carried out on the distribution map, a lesion edge contour is extracted based on a dynamic gradient amplitude, and a binary mask is generated. Mask pixels are converted into network nodes containing space coordinates, gradient directions and birefringence, and a topological network is constructed based on the Euclidean distance of adjacent pixels. The weight is calculated through the node intersection density and the birefringence, and a graph attention network is utilized to aggregate multi-layer features to extract lesion topological features. The features are mapped to a three-dimensional space to construct a lesion probability distribution field, an interactive labeling result is generated through contour surface extraction and transparency mixed rendering, and the accuracy of labeling the complex lesion area of the bone joint can be improved.

Disclosed in the present invention is a method for automatically measuring and adjusting the refractive index of the cross-section of an optical fiber. The method comprises the following steps: S1, optical fiber alignment; S2, detection of optical signals; S3, automatic compensation for optical fiber fusion splicing; S4, analysis of the optical signals; and S5, automatic adjustment and compensation. Compared with the conventional related art, the automatic compensation technique for optical fiber fusion splicing in the present invention has advantages such as higher quality stability, reduced manual intervention, precise parameter adjustment, rapid response capability and improved production efficiency, and is applicable to production and application in the field of optical fiber communications.

Head-mounted displays with waveguides comprising superimposed diffractive gratings and methods for fabricating said waveguides are described herein. In an embodiment, a head-mounted display comprises an optical element and an image source that provides an image beam to an optical element. The optical element comprises two gratings superimposed over each other, at least one of which comprising a buried diffractive grating. The buried diffractive grating comprises a high-refractive index material interspersed with a low-refractive index material or non-solid pockets, such as gas, air or vacuum. Light diffracted by a first of the two gratings is further diffracted by a second of the two gratings without interacting with a surface of the optical element between diffractions.

The invention discloses a heat shrink tube detection method based on image recognition, particularly relates to the technical field of electric power material defect detection, and is used for solving the problems of defect contour distortion, positioning deviation and insufficient classification precision caused by optical ghost interference in heat shrink tube detection. A mapping relation of light refraction paths is established based on brightness gradient difference and refractive index difference, theoretical ghost interference fringes are generated by dynamically adjusting optical path difference of an interferometer, and abnormal areas deviating from theoretical distribution are screened; meanwhile, light source incident angle optimization and defect displacement calculation are combined, residual ghost interference is eliminated, finally, accurate classification and positioning of defects are achieved through multi-dimensional matching of geometric parameters and historical defect data, complex algorithm dependence is reduced while the detection precision is improved, and the real-time detection requirement of an industrial production line is met.

Disclosed in the present invention are a PET release film base film having low surface roughness and a preparation method therefor. The release film base film comprises three layers which are stacked: a core layer and two surface layers located on both sides of the core layer. The release film base film is obtained via three-layer co-extrusion by means of taking an auxiliary extrusion resin as a raw material of the two surface layers and a primary extrusion resin as a raw material of the core layer; the auxiliary extrusion resin is obtained by mixing an anti-blocking agent PET masterbatch and a PET base material in a mass ratio of 1:5-1:15; and the primary extrusion resin is a pure PET base material. The release film base film of the present invention has low surface roughness, low haze and excellent overall performance. Since large-particle benzoic acid-modified nano aluminum oxide has the refractive index very close to that of PET base films, the present invention can effectively avoid adverse visual impacts caused by a difference in the refractive index at interfaces between nanoparticles having large particle diameters and resin matrixes, thus effectively reducing the haze.

The invention relates to the cross technical field of atmospheric science and communication technology, in particular to an atmospheric refraction and waveguide environmental parameter detection and prediction method and device, and the method comprises the following steps: carrying out the power distribution of a light beam of a broadband light source through employing a light splitting element based on the emission of the broadband light source, and forming a detection light beam and a reference light beam, and guiding the detection light beam to pass through a preset open atmosphere optical path, and guiding the reference light beam to pass through a known refractive index stabilizing medium or a vacuum pipeline. The detection light beam and the reference light beam are formed through light splitting of the broadband light source, the detection light beam penetrates through the open atmosphere path, the reference light beam passes through the stable medium, Fourier transform is carried out on interference signals of the two light beams to extract wavelength phase difference mapping data, and tiny optical path change caused by atmospheric refractive index disturbance can be captured. Compared with the traditional single-point or single-path measurement, the sensing sensitivity and the measurement dimension of the atmospheric refractive index spatial nonuniformity are improved by using the broadband spectral information.

The invention relates to the related technical field of semiconductor wafers, in particular to a full-automatic wafer film thickness detection method and system based on spectral reflection, and the method comprises the steps: obtaining a wafer surface reflection spectral signal, and extracting spectral feature information and wavelength parameters; identifying a polarization characteristic parameter and an interface interference characteristic parameter, introducing the wavelength parameter as an adjusting variable, determining a wavelength dependence term, and generating a global film thickness distribution map, thereby solving the problems that in a detection scene with a multi-layer film or a rough interface, the influence of an incident light polarization state on a reflection signal is not fully considered, the reflection signal characteristic extraction is distorted, and the detection accuracy is poor. According to the method, the technical problem that the film thickness obtained through reflection characteristic backstepping deviates from the actual film thickness is solved, polarization characteristic parameters and interface interference characteristic parameters are recognized, the thickness of each detection point is determined after the film refractive index is corrected, the thickness detection precision is effectively improved, and the influence of spectral signal noise and interface interference is reduced; the technical effect of accurately presenting the global film thickness distribution of the wafer film is achieved.

The invention relates to a multi-layer composite black film and a preparation method thereof. The multi-layer composite black film is formed by sequentially stacking a base material layer, a multi-layer film system and a top covering layer, the multi-layer film system is formed by alternately stacking a plurality of absorption layers and a plurality of oxide layers, the number of the layers is 7-30, an initial layer is an oxide layer, the refractive indexes of the oxide layers are the same (1.4-1.5), the thickness ratio of the oxide layers to the absorption layers is larger than 2, and the thickness ratio of the top covering layer to the absorption layers is larger than 1. And the thicknesses of the two layers are increased and then reduced from the substrate layer to the top covering layer. A buffer layer with gradually changed oxygen content is arranged between the oxide layer and the absorption layer, and both the oxide layer and the top covering layer are made of silicon dioxide. The preparation method comprises the following steps: providing the substrate layer, alternately depositing the absorption layer and the oxide layer by using a magnetron sputtering or electron beam evaporation process to form a multilayer film system, then forming the top covering layer, controlling parameters such as vacuum degree, power, temperature and the like during deposition, and forming the buffer layer in the same cavity. The multilayer composite black film has the inner surface reflectivity of less than 1% and the appearance surface reflectivity of less than 5%, and is simple in structure and low in preparation cost.

The invention relates to the technical field of silicon waveguide and optical fiber coupling, and particularly provides an AI-based silicon waveguide-optical fiber mode field self-alignment coupling method and system, and the method comprises the steps: monitoring the strain distribution of a chip in real time through an integrated distributed fiber bragg grating array, and obtaining the light field intensity distribution of a coupling region through cooperation with a near-field optical probe array; constructing a deep space-time convolutional network, and generating a deformation compensation vector and a waveguide reconstruction parameter by an output layer; a nanofluid channel is integrated on the side wall of the waveguide, and the refractive index of liquid is adjusted through an electrowetting effect to realize dynamic broadening of a mode field; and the electrostatic driving micro-beam embedded below the waveguide adjusts the spatial pose of the waveguide according to an instruction of an output layer of the depth space-time convolutional network. The system comprises a light field intensity acquisition module, a convolutional network construction module and a spatial pose adjustment module. According to the method, real-time analysis and prediction are performed, so that system parameters are actively adjusted, and alignment precision and stability are improved.

The invention relates to the technical field of ophthalmology optics, in particular to a myopia control lens optical system integrating ray tracing and aberration correction, which comprises a wavefront phase acquisition module, a wavefront feature statistics module, a ray tracing simulation module, a microstructure form regulation and control module and a feedback control module. According to the method, accurate identification and datamation description of wavefront change under a dynamic vision condition can be realized by acquiring an eyeball wavefront phase matrix, performing gridding partition analysis and extracting local phase offset amplitude and time sequence characteristics, and a light propagation path model is constructed by combining statistical characteristics of an abnormal wavefront region; the self-adaptive compensation is carried out on the local focus deviation, and the spatial distribution optimization of the refractive index and the curvature is further realized based on the microstructure form regulation and control, so that the real-time matching of the optical parameters and the wavefront state is maintained during the processing and use of the lens, and therefore, the imaging quality is stabilized, the visual definition is improved, and the myopia control reliability is enhanced.

The invention discloses an intelligent detection method for water pollutants, which comprises the following steps of: transmitting a signal of a specific frequency band to a water body through an electromagnetic wave transmitting module, acquiring reflected and refracted signals by using a multi-channel receiver, extracting the characteristics of dielectric constant, refractive index and the like of the water body, and analyzing the types and the concentration range of the pollutants by adopting a pattern recognition algorithm; the method comprises the following steps: selecting a micro-fluidic chip and an electrochemical unit, selecting a corresponding biosensor for targeted detection, processing detection data through the micro-fluidic chip and the electrochemical unit, predicting the concentration, spatial distribution and trend of pollutants through a data analysis module, setting a dynamic self-adaptive threshold by the system, realizing pollution early warning, and uploading data to a cloud platform through a remote communication module. And remote monitoring is supported. The method can be widely applied to the fields of water quality monitoring, environmental protection and pollution control, and the detection precision, the real-time performance and the intelligent level are improved.

The invention discloses a method for detecting probiotics in fermented rotten vegetable feed based on the Internet of Things, and relates to the technical field of microbiological detection, and the method comprises the following steps: obtaining complete echo signal time sequence data, and carrying out high-frequency sampling on an echo signal time sequence by a sliding time window with a fixed length, and constructing a three-dimensional optical signal transient feature vector. According to the method, the transient feature vector of the three-dimensional optical signal is constructed, and a disturbance residual error and time sensitive weight mechanism is introduced, so that the abnormal disturbance of the optical signal is accurately recognized; by combining the optical interference index and the dynamic sampling window adjustment strategy, the refractive index mutation area is automatically avoided, the sensing misjudgment and data distortion are avoided, the detection stability and accuracy of the probiotic activity state in the fermentation environment are remarkably improved, and the intelligent monitoring capability of the feed quality is enhanced.

The invention provides a wavelength deviation compensation method and system for rapid wavelength analysis of a far-end fiber bragg grating, and relates to the technical field of fiber bragg grating sensing, and the method comprises the steps: collecting grating reflection spectrum signals of different transmission distances, carrying out frequency domain transformation to separate phase components, and building a mapping relation between the transmission distance and dispersion cumulant; calculating an initial wavelength offset estimation value; identifying a refractive index section, and establishing a segmentation compensation coefficient; constructing a wavelength-strain-temperature three-dimensional space, and optimizing a compensation coefficient according to the trajectory curvature; and updating the compensation coefficient according to the residual gradient. The wavelength analysis precision of the far-end fiber bragg grating can be improved, and the influence of dispersion on measurement is reduced.

The invention discloses a vision-based molded lens edge thickness detection method and a related device. The method comprises the following steps: introducing visible gas into an edge area of a molded lens to form a gas film disturbance layer; the gas film disturbance layer is excited by illumination to generate refractive index change; collecting an interferometric phase image corresponding to the scattered light intensity; carrying out Fourier transform analysis on the interference fringes and carrying out temperature correction; and finally, calculating edge thickness distribution through feature space mapping. A gas film disturbance layer is introduced to the edge of the lens to serve as a physical signal conversion bridge, and a multi-light-path interference imaging and spectrum analysis technology is matched, so that the interference problem of a transparent material in direct optical measurement can be effectively avoided, high-precision and non-contact detection on the edge thickness of the molded lens is realized, and the detection precision is improved. And meanwhile, the device has the characteristics of high environmental interference resistance and good measurement stability.

The invention discloses a laser film structure and a preparation method thereof. Wherein the thin film structure comprises a first dielectric layer, a metal layer, a second dielectric layer and a base material layer, and the second dielectric layer is formed by alternately depositing a dielectric material with a low refractive index and a dielectric material with a high refractive index; the structural expression of the second dielectric layer is H (LH) s, H represents a high-refractive-index dielectric material with the optical thickness of lambda / 4, L represents a low-refractive-index dielectric material with the optical thickness of lambda / 4, and s represents the number of cycles of the film system. According to the invention, the camouflage capability is improved, and the excellent laser protection performance is ensured.

The invention discloses a refractive index structure constant adaptive forecasting method and system based on atmospheric turbulence multi-scale characteristics. The method comprises the following steps: 1, measuring and preprocessing an atmospheric refractive index structure constant; 2, constructing a spatial-temporal feature extraction module of an atmospheric turbulence refractive index structure constant; 3, learning a dependency relationship representing a long-time sequence by using a gating mechanism, and constructing a long-time correlation feature extraction module; 4, capturing dependency relationships of different times through convolution kernels of different time steps, and constructing a short-time correlation feature extraction module; 5, designing a self-adaptive turbulence multi-scale feature fusion module which comprises three groups of bidirectional cross attention modules to realize alignment and fusion among different turbulence feature extraction modules; and introducing a gating mechanism, performing dynamic control and feature selection on output information streams of the three groups of bidirectional cross attention modules, and simulating the change of importance of different scale features of turbulence along with conditions to obtain a predicted value.

Embodiments of the present application relate to the technical field of semiconductor lasers, and provide a semiconductor laser and a manufacturing method therefor, which are used to mitigate the problem of chirp in semiconductor lasers. The semiconductor laser comprises: a substrate; a ridge waveguide which is arranged on the substrate and extends in a first direction of the substrate; and a grating which is arranged at a top portion of the ridge waveguide. The grating comprises first regions and second regions periodically arranged in the first direction, each first region comprises a semiconductor material, each second region comprises an insulating dielectric material, and the refractive index of the insulating dielectric material is greater than the refractive index of the semiconductor material.

The invention discloses a liquid medicine foreign matter detection method and system based on machine vision, and the method comprises the steps: obtaining multiband spectral data of a liquid medicine sample, and carrying out the normalization processing to generate a liquid medicine background standard spectral feature template; comparing the refractive index spectral characteristics of the template and the foreign matter-containing liquid medicine, and recording the surface roughness scattering mode and polarized light reflection angle change data of a foreign matter area; calculating a spectrum peak displacement quantized value according to the polarized light data, and extracting foreign matter edge spectrum gradient information in combination with a threshold value; calculating a transparency spectral attenuation coefficient based on the edge gradient information, and obtaining spectral contrast enhancement factors of different foreign matters in combination with the spectral response characteristic data; and if the enhancement factor does not reach the standard, adjusting the spectrum correction parameter and recalculating, fusing the scattering mode and the multi-angle incident spectrum response result to carry out consistency verification, and obtaining a final identification result containing the foreign matter material type and the danger level. The method can improve the drug detection accuracy and guarantee the drug quality safety.

The invention provides a subjective optometry prediction method combining wavefront aberration and optical signals. According to the method, eyeball wavefront aberration data are measured through a wavefront sensor, cornea, crystal and retina biological parameters are obtained by combining multi-view-field scanning of a galvanometer system, and after high-credibility data points are screened, a gradient refractive index eyeball three-dimensional model is constructed by adopting an NURBS algorithm; using finite element analysis to optimize cornea stress distribution, iteratively correcting the model through a deformation energy function, and dynamically compensating eyeball motion errors based on eye movement tracking data; and generating a multi-field-angle visual chart image through ray tracing simulation, and predicting a subjective optometry result in combination with an image quality evaluation algorithm. According to the method, high-precision modeling, dynamic error suppression and intelligent simulation technologies are fused, the optometry prediction accuracy, the personalized adaptation degree and the dynamic scene adaptability are remarkably improved, and an efficient and reliable solution is provided for refraction correction.

The invention relates to an error compensation method of a birefringence self-calibration laser level meter, in particular to the field of laser level meters, and aims to improve the precision of the laser level meter by combining a birefringence effect, physical modeling and neural network optimization. Firstly, temperature data are collected in real time, Kalman filtering is used for noise reduction, and accurate data are provided for physical modeling; then, through physical constraints such as a heat conduction equation and a Jones matrix, a coupling relation between the temperature gradient and optical parameter changes is established; then, dynamically optimizing the refractive index correction by using a physical information neural network to avoid an overfitting problem; and finally, calculating optical path difference compensation by using a hardware accelerator, correcting a system error in real time, and feeding back and adjusting a network weight. According to the method, the precision and the stability of the laser level meter in an environment with relatively large temperature change are effectively improved.

The invention provides a tunable micro-nano laser based on a perovskite phase change material and a preparation method thereof, and belongs to the technical field of micro-nano photoelectron, the tunable micro-nano laser comprises a substrate, and a distributed Bragg reflector, a gain dielectric layer and a reflector which are sequentially arranged on the substrate from bottom to top; wherein the gain medium is a perovskite material with a crystal phase transition characteristic. The substrate is made of a material which is transparent or low in loss to pump light and emitted light; the distributed Bragg reflector is formed by alternately arranging high-refractive-index layers and low-refractive-index layers; the gain dielectric layer is a perovskite thin film layer with a crystal phase transition characteristic, and a perovskite material has a spectrum tuning function in the laser resonant cavity; the reflecting mirror is composed of a metal film. According to the invention, the perovskite material is used as a gain medium and a phase change material at the same time, the wide-range tuning of laser wavelength is realized, and the tuning range can reach several nanometers or even wider; the energy utilization efficiency can be improved, the stability is high, and the method is suitable for various types of tunable micro-nano laser applications.

The embodiment of the invention provides a projection system and optical display equipment. Wherein the projection system comprises a lens group, a prism and a display chip which are arranged in sequence; wherein the lens group is composed of a first lens, a second lens, a third lens and a fourth lens which are sequentially arranged, and the refractive index of the first lens, the refractive index of the second lens, the refractive index of the third lens and the refractive index of the fourth lens are larger than 1.6; the refractive index of the prism is less than 1.55; the projection system satisfies: 1 < = TTL / f < = 1.5; wherein TTL is the total optical length of the projection system, and f is the effective focal length of the projection system.

The invention provides a laser positioning method for improving gemstone cutting precision, and belongs to the technical field of gemstone cutting laser positioning. A gemstone crystal refractive index tensor model and a ray tracing algorithm are established to simulate a propagation path of light in a gemstone; a thermo-optic effect prediction model is adopted to predict a focus drift distance according to temperature distribution and laser power data and calculate wavefront predistortion phase distribution for compensation, and a zero-vibration input shaping filter is designed for a galvanometer scanning system to suppress residual vibration. A composite control strategy that feedforward control compensates inertia lag and feedback control corrects position errors is adopted to drive a galvanometer, the inherent frequency of a system is recognized through spectral analysis, and the scanning frequency is adjusted to avoid resonance. The technical problem that in the long-time machining process, due to the thermo-optic effect and vibration of a galvanometer scanning system, the laser focus point position generates accumulated drifting, and the cutting precision is reduced is solved.

The invention discloses a slant path atmospheric turbulence phase screen generation and light field transmission simulation method. Belongs to the technical field of satellite-ground laser communication. The method comprises the following steps: firstly, establishing a three-layer height spectrum model in a slant-range atmospheric turbulence environment, then generating an initial field suitable for vacuum and turbulence environments by using an angular spectrum method, and generating n corresponding random dynamic phase screens according to atmospheric turbulence characteristics of different heights on a slant-range path and distribution characteristics of atmospheric wind speed. Superposing the initial field and the first phase screen, performing two-dimensional Fourier transform, and performing inverse Fourier transform on the transform field by using an angular spectrum method to obtain field distribution in front of the next phase screen; and repeating the process to pass through n phase screens in sequence, and finally obtaining the output field distribution of the uplink and the downlink. The method can effectively simulate the effects of refractive index fluctuation, wavefront distortion, light intensity flicker and the like caused by oblique-range atmospheric turbulence, and provides important theoretical support and application value for researching oblique-range laser transmission characteristics.

An organic light-emitting device comprises an anode, a cathode and an organic layer formed between the anode and the cathode, and the organic layer comprises a hole injection layer, a hole transmission area, an electron blocking layer, a light-emitting area and an electron transmission area. The hole transport region comprises a first material and a second material, the first material and the second material are sequentially evaporated to form two hole transport layers, and the first material is selected from a compound shown in the formula 1; and the second material is selected from a compound shown in a formula 2. According to the invention, the first material with a high refractive index is used as the first hole transport layer, the second material with a low refractive index is used as the second hole transport layer, and the structures of the first material and the second material are respectively limited at the same time. The invention overcomes the limitation of a single material or a simple mixed material in the aspects of hole transport and luminous efficiency. .

The invention discloses an image recognition and correction system based on an optical model and environment perception, and relates to the technical field of image processing, and the system comprises an environment perception module which is used for collecting multi-medium refractive indexes, interface three-dimensional forms and initial image data through a refractive index sensor, a three-dimensional laser scanner and a visual camera; an environment perception data set is formed through dynamic correction and multi-source fusion; the optical model is constructed on the basis of environment sensing data, the light propagation path is calculated in combination with the interference compensation sub-model, and the interference compensation sub-model can quantify the interference influence by analyzing related data acquired by the environment sensing module for interference factors such as impurities and temperature gradient in a medium, so that the interference compensation precision is improved. The compensation term is generated and fused into the light propagation equation, so that the light propagation path is corrected, the calculation accuracy of the light propagation path is ensured, a firm and reliable data support is provided for subsequent image recognition and correction, and the precision and quality of image recognition and correction are improved.

A window for a sensing system is provided that includes: a substrate comprising an outer and an inner primary surface; an outer layered film disposed on the outer primary surface; and an inner layered film disposed on the inner primary surface. Each of the outer and inner layered films comprises alternating high index and low index layers. The outer layered film comprises a scratch resistant layer having a thickness from about 0.5 μm to about 10 μm, and exhibits a hardness of at least 11 GPa, as measured with a Berkovich Indenter Hardness Test. The window exhibits an average transmittance of greater than 85% within ±25 nm of at least one wavelength within the infrared spectrum from 900 nm to 1600 nm and an average transmittance of less than 5% in the visible spectrum from 420 nm to 650 nm, each at an angle of incidence<15°.