489 results about "Visible near infrared" patented technology

A non-invasive method of characterizing burn injuries using near infrared spectroscopy is described. In the method, a beam of light is emitted into the burnt tissue portion at two or more different tissue depths. The spectra are then compared using multivariate analysis to determine diagnostic regions of the spectra. This information is used to categorize the burn. In some cases, the diagnostic regions correspond to wavelengths related to the hemodynamics of the tissue portion. The spectra can also be repeated over time, thereby allowing trends and changes in the spectra to be measured. This data is in turn used to categorize the burn as either a superficial burn, partial thickness burn, deep partial burn or a full thickness burn. Once the burn has been categorized, the clinician can intervene as needed to treat the burn.

To provide an infrared-shielding body sufficiently transmitting visible rays, having no half-mirror shaped appearance, requiring no large-scale apparatus when forming a film on a substrate, efficiently shutting invisible near-infrared rays with wavelength range of 780 nm or more, while eliminating a heat treatment at high temperature after film formation, and having a spectral characteristic such as transparency with no change of color tone. The starting material, which is a mixture containing a predetermined amount of a tungsten compound, is heated at 550° C. in a reductive atmosphere for 1 hour, then cooled to room temperature once in an argon atmosphere, thus producing powder of W18O49. Then, the powder, the solvent, and the dispersant are mixed, then subjected to dispersion treatment to obtain a dispersion solution. The dispersion solution and a UV-curable hardcoat resin are mixed to obtain a solution of fine particle dispersion of infrared-shielding material. The solution of the fine particle dispersion of infrared-shielding material is applied on a PET resin film to form a film, which is then cured, and an infrared-shielding film having a transmission profile shown in the figure is thereby obtained.

The invention discloses a method and system for quick lossless evaluation on multiple indexes of freshness of fresh beef by applying a visible / near infrared spectrum technology, belonging to the technical field of lossless detection of food. According to the invention, a mathematical prediction model is established between spectral information capable of reflecting fresh beef ingredients and physical state information, and multiple indexes of the freshness of the fresh beef, and the whole detection system is constructed on the basis of the mathematical prediction model, so that the system can be used for accurately and reliably detecting multiple unknown indexes of the freshness of the fresh beef (volatile basic nitrogen (TVB-N), pH value, total bacterial count and beef color (CIE color parameters L* and a*) and the like simultaneously, and predicating the storage time of the beef; furthermore, the freshness of the beef is graded comprehensively by combining multiple indexes, so that the quick lossless detection and evaluation on the freshness of the fresh beef are realized.

Techniques for providing spectroscopic imaging integrates an acousto-optic tunable filter (AOTF), or an interferometer, and a focal plane array detector. In operation, wavelength selectivity is provided by the AOTF or the interferometer. A focal plane array detector is used as the imaging detector in both cases. Operation within the ultraviolet, visible, near-infrared (NIR) spectral regions, and into the infrared spectral region, is achieved. The techniques can be used in absorption spectroscopy and emission spectroscopy. Spectroscopic images with a spectral resolution of a few nanometers and a spatial resolution of about a micron, are collected rapidly using the AOTF. Higher spectral resolution images are recorded at lower speeds using the interferometer. The AOTF technique uses entirely solid-state components and requires no moving parts. Alternatively, the interferometer technique employs either a step-scan interferometer or a continuously modulated interferometer.

Photocatalytic water splitting is employed as a method to directly obtain clean hydrogen from solar radiation by using hybrid nanoparticles with metallic cores and semiconductor photocatalytic shells. Efficient unassisted overall photocatalytic splitting of water is based on resonant absorption from surface plasmon in metal core / semiconductor shell hybrid nanoparticles, which can extend the absorption spectra further towards the visible-near infrared range, thus dramatically increasing the solar energy conversion efficiency. When used in combination with scintillator nanoparticles, the hybrid photocatalytic nanoparticles can be used for conversion of nuclear energy into hydrogen.

The present invention determines one or more properties of a soil sample by scanning a soil sample using a visible near infrared diffuse reflectance diffuse reflectance (VisNIR) spectroradiometer, scanning the soil sample using a x-ray fluorescence (PXRF) spectrometer, receiving a diffuse reflectance spectra from the VisNIR spectroradiometer and an elemental data from the PXRF spectrometer, determining one or more properties of the soil sample using one or more processors and a predictive model that relates the diffuse reflectance spectra and the elemental data to the one or more properties, and providing the one or more properties of the soil sample to one or more input / output interface.

A non-invasive tool for skin disease diagnosis would be a useful clinical adjunct. The purpose of this study was to determine whether visible / near-infrared spectroscopy can be used to non-invasively characterize skin diseases. In-vivo visible- and near-infrared spectra (400-2500 nm) of skin neoplasms (actinic keratoses, basal cell carcinomata, banal common acquired melanocytic nevi, dysplastic melanocytic nevi, actinic lentigines and seborrheic keratoses) were collected by placing a fiber optic probe on the skin. Paired t-tests, repeated measures analysis of variance and linear discriminant analysis were used to determine whether significant spectral differences existed and whether spectra could be classified according to lesion type. Paired t-tests showed significant differences (p<0.05) between normal skin and skin lesions in several areas of the visible / near-infrared spectrum. In addition, significant differences were found between the lesion groups by analysis of variance. Linear discriminant analysis classified spectra from benign lesions compared to pre-malignant or malignant lesions with high accuracy. Visible / near-infrared spectroscopy is a promising non-invasive technique for the screening of skin diseases.

The invention discloses a visible near-infrared spectrum -based fruit brix / acidity online detection and separation production line, which consists of a mechanical conveying device (III), a visible near-infrared spectrum detection device (I) and a separation control device (II). The work flow is as follows: the fruits are conveyed by the mechanical conveying device of the production line and enter a station of the visible near-infrared spectrum detection device (I) and a separation; a coding disc (2) and a proximity switch (1) installed on a chain wheel shaft detect the moving position information of the fruits and send the information to a spectrometer (24); the spectrometer is triggered by the proximity switch, acquires the visible near-infrared spectrum absorbed and reflected by the fruits and sends a spectrum signal to a fruit brix / acidity model of the computer software so as to calculate the content of the fruit brix / acidity and divides the grades of the fruit brix / acidity by segment; and the computer is communicated with a programmable controller PLC (10) through an interface, assigns the grade signals to the PLC and controls the execution element at each separation port to realize separation of the fruits of different grades. The invention is applicable to the online detection and separation of the inside brix / acidity of the fruits.

A non-invasive method of characterizing burn injuries using near infrared spectroscopy is described. In the method, a beam of light is emitted into the burnt tissue portion at two or more different tissue depths. The spectra are then compared using multivariate analysis to determine diagnostic regions of the spectra. This information is used to categorize the burn. In some cases, the diagnostic regions correspond to wavelengths related to the hemodynamics of the tissue portion. The spectra can also be repeated over time, thereby allowing trends and changes in the spectra to be measured. This data is in turn used to categorize the burn as either a superficial burn, partial thickness burn, deep partial burn or a full thickness burn. Once the burn has been categorized, the clinician can intervene as needed to treat the burn.

The invention relates to a fruit maturity degree evaluation method based on spectrum and color measurement. The method comprises the following steps that (1) the degrade division is carried out on a certain fruit, and the color measurement parameter, the visible near infrared spectroscopy and the internal quality evaluation index of each grade of fruit are determined; (2) firstly, the visible near infrared spectroscopy and the internal quality evaluation index are combined, a fruit internal quality quantitative analysis model is built by adopting a multivariate calibration method, then, the color measurement parameter is fused, the fruit maturity degree degrade is used as the standard reference, and a fruit maturity degree evaluation model is built by using a machine learning method; and (3) the visible near infrared spectroscopy and the color measurement parameter of fruit samples to be evaluated are determined and are respectively input into the fruit internal quality quantitative analysis model and the fruit maturity degree evaluation model, and a computer carries out intelligent degrade evaluation on the fruit maturity degree. The fruit maturity degree evaluation method is simple, the fruit damage is avoided, and accuracy and high efficiency are realized.

A method for the determination of cellulosic-fibre properties, such as, but not limited to, residual lignin content of chemical pulp, with the aid of a spectroscopic technique obtained over a range covering the visible and the near-infrared regions of the electromagnetic spectrum, comprising the steps of obtaining a sample from the process line, minimally removing some excess water, exposing the fibres in the sample to a large beam light source, optionally moving the sample at a constant speed, and acquiring the spectral data over a pre-determined length of time, and correlating the spectrum to a previously determined calibration so as to determine the Kappa number. Alternatively, as an arrangement for process control, along with other varying configurations, the instant invention includes the mounting of the excitation light source and fibre-optic probe along the various locations of the kraft cooking and bleaching process, such as 1) at the drum brownstock washers and 2) throughout the bleach plant deckers, located just before the doctored blade, the probe being connected to a fast scanning spectrometer, via fibre optic cables, with a computer sequencing spectral acquisition and correlating the spectrum against a predetermined calibration, and logging the results. The process configuration, with the use of the instant invention, overcomes all limitations of prior art, including sampling hardware and sample preparation, and provides true online Kappa number determinations of the order of seconds, as compared to current state of the art Kappa analyzers which require 10 to 15 minutes per analysis. The present method is capable of measuring residual lignin content of chemical pulps with varying consistency, accounts for species effects to provide species insensitivity and can provide analysis in less than 10 seconds. The method can provide true online continuous measurement of Kappa number for feedforward and feedback control of the bleaching, paper machine and kraft cooking processes.

The invention discloses a fish tenderness hyperspectral detection method based on a characteristic wave band. The detection method comprises the following steps of: firstly, detecting fish tenderness according to the conventional detection method; then, with fish as a sample set, utilizing a near-infrared hyperspectral imager to carry out nondestructive detection on the fish, establishing a multi-element linear regression model of the tenderness and a characteristic wavelength, detecting a fish sample, and calculating the tenderness of fish sample according to the multi-element linear regression model of the tenderness and the characteristic wavelength. The fish tenderness hyperspectral detection method provided by the invention has the advantages that the fish tenderness is rapidly detected in an optimized manner through the characteristic wave band, the time of hyperspectral collection, detection and data analysis is greatly shortened, the detection efficiency is improved, and the fish tenderness hyperspectral detection method really provides theoretical support and research basis for on-line, rapid and nondestructive detection of food quality.

Light absorbing coating with high absorption capacity.This coating comprises at least one thin optically discontinuous metal layer (8), absorbent within a determined spectral range in the visible-near infrared range, and at least one dielectric layer (10) transparent within this range and formed on the thin layer. Application to imagery.

A method is described for assessing at least one characteristic of a fluid held in a container that utilizes visible—near infrared (VIS-NIR) spectroscopy in combination with chemometrics. A method is also provided for calibrating VIS-NIR analyser(s) operating in transflectance mode for one or more characteristics of a fluid.

The invention discloses a device and a method for cooperatively detecting a moving target by using all-optical-waveband (including ultraviolet, visible, near-infrared, medium-wave infrared and long-wave infrared) maps. The device comprises a large field-of-view two-dimensional scanning sighting telescope, a common aperture primary optical system module, an infrared imaging and spectrum forming optical subsystem module, an ultraviolet / visible / near-infrared spectrum forming and visible near-infrared imaging optical subsystem module, a short / medium / long-wave infrared spectrum measuring module, a medium-wave wide / narrow band imaging module, a visible near-infrared spectrum measuring module, a visible near-infrared imaging module, an ultraviolet measuring module, a map fusion signal processing module, a control module and a servo system. The device and the method utilizes medium-wave infrared imaging and visible near-infrared imaging for recognizing a suspected moving target and guides spectrum measurement, completes the final recognition of the suspected target with cooperation of spectrum measurement data, and solves the difficulties of the existing detection device such as incomplete detection bands, limited optical path layout, large equipment size, few types of detected moving targets and dynamic changing objects, and poor detection capability.

The invention discloses an on-line rapid non-destructive detection and sorting device for slightly damaged fresh dates. The device comprises a mechanical conveying device, a rotation device, a visible near-infrared spectrum acquisition device and a sorting device, wherein the mechanical conveying device is used for conveying fresh dates to a transmission roller at the station of the visible near-infrared spectrum acquisition device; the rotation device is used for enabling the roller to drive the fresh dates to rotate for 360 degrees; the position information of the fresh dates is judged through a sensor; the position information is transmitted to a micro optical fiber spectrometer through an optical fiber; the acquired spectrum information is transmitted to a model for judging whether the fresh dates are slightly damaged or not in computer system software; a signal that whether the fresh dates are slightly damaged is transmitted to a PLC (programmable logic controller) through the software in a computer; an electromagnetic control valve and a whole sorting execution mechanism which is connected with an air compressor are controlled by the PLC, and thus automatic sorting on slightly damaged fresh dates and complete fresh dates is achieved. By adopting the device, rapid, non-destructive, dynamic and real-time detection and sorting on slightly damaged fresh dates can be achieved.

The invention relates to a saturable absorber based on a plasmon axial vibration mode and belongs to the technical field of pulse laser. The invention particularly relates to a novel saturable absorber which consists of gold nanorods and film forming agent and can be used for mode-locked fiber lasers. The saturable absorber based on the gold nanorods can be prepared by adopting the method which comprises the steps of mixing the gold nanorod water dispersion and film forming agent water solution according to a molar ratio of (8-133):1, and performing ultrasonic dispersion for 2-5hours; and finally spin-coating the mixed solution on surfaces of flat silicon wafers and naturally drying the silicon wafers in a vacuum closed container till films are formed. The output of pulse laser at a near-infrared band is realized by using the unique longitudinal surface plasma resonance absorption characteristic of the gold nanorods. The saturable absorber based on the plasmon axial vibration mode enables the types of saturable absorbers to be expanded and can be widely used for mode locking of lasers at a visible-near infrared band.

The invention discloses a system and a method for detecting apple surface defects. The system comprises a transmission device (1), and a light box (2) right above the transmission device; a visible / near-infrared composite LED light source device (3) is arranged at the lower part in the light box (2), and a lattice near-infrared light projector (7) is arranged at the upper central part in the light box (2); one side of the lattice near-infrared structure light projection (7) is provided with a black and white industrial camera (4) and a color industrial camera (6); the black and white industrial camera (4) is connected to a near-infrared image acquisition card (8) of a computer (10) through cable; and the color industrial camera (6) is connected to a color image acquisition card of the computer (10) by cable.

The invention provides a method for preparing yttrium aluminium garnet (YAG) transparent ceramic with a composite structure. The method comprises the following steps: by using Re:YAG powder and high-purity Y2O3, Al2O3 and Re2O3 as raw materials, adding a certain amount of dispersing agent, binder, plasticizer and defoaming agent to mix slurry in a ball-milling manner; preparing different doped and bound composite structures of ceramic biscuits, such as Sm:YAG / Nd:YAG, Cr:YAG / Yb:YAG and YAG / Nd:YAG, different multi-segment doped Re:YAG ceramic biscuits, such as YAG / Cr:YAG / Nd:YAG / YAG, a core-shell structured composite ceramic biscuit, and a layered composite structure of transparent ceramic biscuit in a vacuum pressure slip casting manner. Different composite structures of Re:YAG transparent ceramics are obtained by the following processing steps: biscuit degreasing, vacuum sintering, hot isostatic pressing sintering, annealing and the like. The linear transmittance of the transparent ceramic after being polished at double sides in a visible near infrared region can be up to over 80%.

The invention discloses a vinegar residue organic matrix moisture content detection method. Firstly vinegar residue organic matrix samples in different moisture contents are taken, one part is taken as a correction set, other part is taken as a predetermination set, and the rest is taken as samples to be detected, and moisture contents of all the samples are determined as measured value by drying weighing method; reflectance spectrum information of sample is acquired by a visible near-infrared spectrometer, the relationship of spectroscopic data of the correction set and moisture content measured value thereof is utilized to build a correction model; spectroscopic data of the predetermination set is input into the correction model for carrying out predetermination, predetermination result of sample moisture content of predetermination set is obtained and difference thereof with the measured value is analyzed, and a correction model predetermination precision of which meets requirement is selected; and finally spectroscopic information of sample to be detected is input into the selected correction model to calculate the moisture content of sample to be detected. The invention can rapidly and conveniently determine moisture content in matrix in field in batch and can dynamically detect variation of moisture content of matrix in crop growing process.

The invention relates to a visible-near-infrared region wide-band perfect absorber. The visible-near-infrared region wide-band perfect absorber includes a substrate, a metal film layer and a metal-dielectric conical cylindrical composite structural layer; the metal-dielectric conical cylindrical composite structural layer is arranged on the metal film layer; and the metal film layer is arranged onthe substrate. With the visible-near-infrared region wide-band perfect absorber of the invention adopted, problems such as internal metal ohmic loss, thermal effect and thermal instability can be effectively avoided; the wide-band absorption of visible-near-infrared bands can be realized; and plasmon resonance modes within in a plurality of frequency ranges are generated, so that a wide-band electromagnetic wave perfect absorption characteristic can be obtained. The visible-near-infrared region wide-band perfect absorber of the invention has a wide application prospect in the fields of photoelectric devices such as infrared detection and photoelectric conversion devices, infrared imaging devices, solar anti-reflection coatings and heat radiators under high-temperature and high-heat conditions.

The present invention relates to one kind of composite nanometer material in a core-shell structure including a dielectric core of nanometer SiO2 microsphere and a metal shell of Cu. The process of preparing the composite nanometer material includes: preparing colloidal SiO2 particle, self-assembling nanometer SiO2 sphere array on quartz chip, preparing composite SiO2 / Cu particle array, and ultrasonic separation to obtain nanometer SiO2 / Cu particle in a core-shell structure monodispersed inside solution. The composite nanometer material has surface plasma resonant absorption peak located in near infrared region, optical property in visible light and near infrared regions adjustable by means of controlling the diameter of the core and the thickness of the shell, blue shift with the increased shell thickness and red shift with increased SiO2 size. The nanometer material may find wide application in photocatalysis, sensor, optical information storing and other fields.

The invention relates to a visible / near infrared spectroscopy-based poultry infertile egg detecting method and device. The device is a poultry egg detecting device based on visible / near infrared spectroscopy. The device comprises a power source (1), a heat sink (2), an object carrying table (3), a light probe (4), a support (5), an optical fiber (6), a temperature sensor (7), a light source (8) and a detection dark box (9) and also comprises an optical signal sensor (10). The device can monitor environment temperatures in a poultry egg detection process and prevents influences of overhigh temperatures on normal incubation of poultry eggs to be detected. The adjustable probe is adopted, and the position of the light probe can be fixed without adjustment when samples of a same kind are detected, thus reducing detection time. The device adopts a non-contact detection process, overcomes disadvantages that traditional egg candling or other detecting methods need contact with poultry eggs to be detected, and avoids the problem of outside contamination caused by contact type detecting methods. The device and the method (through building an optimum mathematic model from poultry egg spectrum data and fertilization results) can detect, in high accuracy, infertile eggs and fertile eggs before incubation and can increase the production efficiency.

The invention discloses a visible light and near infrared spectrum detecting method based on a programmable micro-mirror array, which comprises an optical source, a sample pool, a dispersing element, an imaging device, the programmable micro-mirror array, a single-point visible light detector and a single-point near infrared detector; lights emitted from the optical source enter the dispersing element through the sample pool, the dispersed lights with various wavelengths enter the programmable micro-mirror array in parallel through the imaging lens, visible light wave band and near infrared wave band respectively correspond to a visible light micro-mirror array unit and a near infrared light micro-mirror array unit of the programmable micro-mirror array, the visible light micro-mirror array unit and the near infrared light micro-mirror array unit are simultaneously modulated by applying drive voltage, the visible lights are led into the visible light detector in time sequence, and simultaneously the near infrared lights are led into the near infrared light detector in time sequence, thus obtaining the spectrum information of physical visible lights and near infrared lights. The instruments adopted by the method have the advantages of low price, small volume, quick response speed, and portable use and being capable of simultaneously realizing the detection of visible light wave band and near infrared wave band, and the like.

The invention discloses a soil total nitrogen real-time detection method based on a soil visible-near infrared spectrum library. The soil total nitrogen real-time detection method comprises the following steps: measuring data of visible-near infrared spectrums and data of total nitrogen contents of soil samples across the country to establish a soil visible near infrared spectrum-total nitrogen database; collecting the data of the visible-near infrared spectrums of a plurality of soil samples to be detected; selecting model establishing sample from the spectrum library for each sample to be detected to form a calibration subset by using a local weighted regression algorithm to establish a total nitrogen linear regression model based on the soil visible-near infrared spectrum database to obtain the total nitrogen contents of the samples to be detected, and evaluating accuracy of a prediction model. Compared with the conventional method for establishing a prediction model by merely using all the soil sample spectrums in the region, the prediction model established by the method is excellent in stability and universality, so that the prediction capability is significantly improved and the defects that the soil spectrums are repeatedly collected, the data format is non-uniform and is incapable of being shared, and the established models are incapable of being universally used can be avoided.

The invention discloses a preparation method of a wide-spectrum-antireflection-structure carbon aerogel. According to the method, the total mass percent of the resorcinol and formaldehyde and the resorcinol / sodium carbonate mass ratio are regulated, and the gelation time, the heating rate in the carbonization process and the sintering temperature are controlled, thereby obtaining the wide-spectrum-antireflection-structure carbon aerogel. The density range of the carbon aerogel prepared by the method is 20-60 mg / cm<3>, the specific area range is 1783-967 m<2> / g, the light reflectivity within the 400-2000nm ultraviolet-visible-near-infrared band is respectively lower than 0.3%, and the absorbance is respectively greater than 99.7%. The carbon aerogel can be used as a novel super black material, and is applicable to the fields of aerospace detecting sensors, solar photo-thermal converters, national defense stealth technology and the like.

The invention discloses a fruit sugar degree sorting device and method based on weighing and sorting line transformation. The fruit sugar degree sorting device and method based on the weighing and sorting line transformation comprises a mechanical conveying device, a visible near-infrared spectrum detection device and a sorting control device. Fruits are conveyed into the visible near-infrared spectrum detection device by the mechanical conveying device, a vertical light beam is used for irradiating the fruits to be detected. The light beam on the fruits reflects through the diffuse reflectionoptical principle, the visible near-infrared spectrum detection device use a visible near-infrared diffuse reflection spectrum to carry out on-line detection and classification for the sugars and acidity in the fruits, the detected sugars and acidity are transmitted to the sorting control device, and the sorting is achieved by turning over a fruit tray. By collecting the visible near-infrared diffuse reflection spectrum of the fruits in the wave band range of 300nm-1100nm and using a prediction model of predicting the sugars and acidity of the fruits, the content of sugars and acidity in thefruits is calculated, and the on-line detection and automatic sorting of the sugars and acidity are achieved in cooperation with a automatic control system.

The invention discloses a nondestructive detection method of the total number of bacteria in livestock meat, which comprises the following steps: using a high spectral imaging system to obtain a high spectral scattering image of a livestock meat sample to be detected; using the Lorentz function to fit the scattering features to obtain Lorentz parameters, and using the arithmetic product of the parameters as spectral data; using a stepwise regression method for selecting the optimum wavelength combination; and using the Lorentz parameters at the optimum wavelength part to establish a multivariant linear predict model which can be used for judging the total number of bacteria in the livestock meat. The invention has the advantages of high speed and nondestructive effect, light within the visible-near infrared spectral wavelength range (400 to 1100 nm) is used as a light source for irradiating the livestock meat sample, the scattering spectral information on the surface of the livestock meat sample is analyzed, and the method can be used as the nondestructive detection method of the total number of the bacteria in the livestock meat. After necessary modification, the method of the invention can also be used as a novel method to be applied to the nondestructive detection fields of internal components such as moisture content, protein content, fat content and the like in the livestock meat.

The invention relates to a face recognition monitoring system and recognition method based on spectrum and multiband fusion. The system comprises a spectrum camera, a face spectrum image acquisition module, a face spectrum image data preprocessing module, a face spectrum image database and a face spectrum image recognition module. The spectrum camera comprises an optical lens and a silicon-based detector. The silicon-based detector comprises a photoelectric conversion substrate and a filtering film arranged on the photoelectric conversion substrate. The filtering film comprises N units; each unit comprises three areas, specifically a visible spectrum sensing area, a near infrared spectrum image sensing area and an RGGB image acquisition area; and the N units cover all pixel points on the photoelectric conversion substrate. According to the system, the purpose of obtaining reflection multispectral data, near-infrared band face images and RGGB face images of the face in the visible-near-infrared band can be achieved through one camera, the cost of the monitoring system is greatly reduced, and more accurate recognition of the face is achieved.