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Lastest company cases about Three methods for color measurement
2020/04/01
Three methods for color measurement
Color measurement is mainly divided into the measurement of the color of the light source and the measurement of the color of the object. The object color measurement is divided into fluorescent object measurement and non-fluorescent object measurement. In actual production and daily life, color measurement of non-fluorescent objects is widely used. It is mainly divided into two categories: visual color measurement and instrument color measurement. Among them, instrument color measurement includes photoelectric integration method and spectrophotometry method.   1. Visual method The visual method is the visual perception of light produced by the eyes, the brain, and our life experience. The light we see with the naked eye is generated by electromagnetic waves with a narrow wavelength range, and electromagnetic waves of different wavelengths show different colors The recognition of color is the visual nerve sensation caused by the naked eye after being stimulated by electromagnetic wave radiation energy. The unknown colors of the individual components are added together to describe the resulting unknown colors. Although it is most suitable for color evaluation. The way to rely on it is with the help of the human eye, and it is simple and flexible, but due to the experience of observers and psychological and physiological factors The impact of this method makes the method too many variables and cannot be described quantitatively, which affects the accuracy of the evaluation.   2.The photoelectric integration method For a long time, the density method has occupied a very high position in color measurement, but with the application of CIE1976L *, a *, b * gradually becoming widespread, and has covered the entire work flow from press to printing, people are more and more aware of color The importance of degree, and the rapid development of modern colorimetric have also laid the foundation for the objective evaluation of color by photoelectric integration instruments ( precision color difference meters). The photoelectric integration method is a common method used in instrument color measurement in the 1960s. It does not measure the color stimulus value of a certain wavelength, but measures the tristimulus values X, Y, and Z of the sample through integral measurement over the entire measurement wavelength interval, and then calculates the chromaticity coordinates and other parameters of the sample. When using such three photo detectors to receive light stimuli, the tristimulus values X, Y, and Z of the sample can be measured with one integration. The filter must meet Luther's conditions to accurately match the photo detector. The photoelectric integration instrument cannot accurately measure the tristimulus value and chromaticity coordinates of the excellent source, but can accurately measure the color difference between the two color sources, so it is also called a color difference meter. Foreign color difference meters have been mass-produced since the 1960s, and China has been developing such instruments since the early 1980s. Nowadays, the CS-210 precsision colorimeter produced by Hangzhou CHNSpec Technology Co.,Ltd has been used. CS-210 Precision Colorimeter   3. Spectrophotometry Spectrophotometry is also called spectrophotometer. It compares the light energy reflected (transmitted) by the sample with the standard reflected (transmitted) light energy under the same conditions to obtain the spectral reflectance of the sample at each wavelength, and then uses CIE The provided standard observer and standard light source are calculated according to the following formula to obtain the tristimulus values X, Y, and Z, and then X, Y, and Z are used to calculate the chromaticity coordinates x according to the formulas such as CIE Yxy and CIE Lab. y, CIELAB chromaticity parameters, etc. The spectrophotometer determines the color parameters by detecting the spectral components of the sample. It can not only give the absolute values of X, Y, Z and the color difference value △ E, but also give the spectral reflectance value of the object, and can draw the object. Therefore, it is widely used in color matching and color analysis. The use of such instruments can achieve high-accuracy color measurement, calibration of photoelectric integral color measurement instruments, and establishment of chromaticity standards. Such instruments were first developed in China. CS-600 Integrating Sphere Color Spectrophotometer is color spectrum. Therefore, the spectrophotometer is an authoritative instrument in color measurement.   Color Spectrophotometer CS-600   Company introduction Our CHNSpec Technology Co., Ltd are specialized on manufacturing haze meter, spectrophotometers, colorimeters and gloss meters. Our products have gotten 10 Invention Patents including 1 American Invention Patent, 8 Utility Model Patents, 4 Appearance Patents and 3 Software Copyrights till now.    
Lastest company cases about Objective Measurement of Transparency
2020/03/26
Objective Measurement of Transparency
Measurement and analysis of haze and clarity guarantee a uniform and consistent product quality and help analyze influencing process parameters and material properties, e.g.cooling rate or compatibility of raw materials.   The figure on the picture shows the measurement principle of the haze meter:   A light beam strikes the specimen and enters an integrating sphere. The sphere's interior surface is coated uniformly with a matte white material to allow diffusion. A detector in the sphere measures total transmittance and transmission haze. A ring sensor mounted at the exit port of the sphere detects narrow angle scattered light ( clarity). Standard Methods The measurement of Total Transmittance and Transmission Haze is described in international standards. Two different test methods are specified: 1. IS013468 Compensation method 2. ASTM D1003 Non-compensation method The compensation method takes the light reflected on the sample surface into account. Differences between the two methods can be approximately 2 Total Transmittance on clear, glossy samples.   ASTM D 1003 Measurement conditions are different during calibration and actual measurement. During calibration, part of the light escapes through the open entrance port of the haze meter. While taking a measurement, the entrance port is covered with the sample, thus, the amount of light in the sphere is increased by the light reflected at the sample surface.     ISO13468 Measurement conditions are kept equal during calibration and measurement due to an additional opening in the sphere. During calibration the sample is placed at the compensation port. For the actual measurement, the sample is changed to the entrance port. Thus, the so-called sphere efficiency is independent of the reflection properties of the sample.     Two Standard Methods in one Unit The clarity and haze meter CS-720 complies with both ASTM and ISO measurement standards. It can meet the following measurement standards ASTM D1003 / D1044, ISO13468 / ISO14782, JIS K7105, JIS K7361, JIS K7163 and other international standards. If any inquiry, you are welcome to contact us.  
Lastest company cases about Factors affecting haze measurement
2020/03/25
Factors affecting haze measurement
What is haze? Haze is also called turbidity. It indicates the degree of unclearness of transparent or translucent materials. It is the appearance of cloudiness or turbidity caused by light scattering inside or on the surface of the material. It is expressed as the percentage of the ratio of the scattered light flux to the light flux through the material.   Why measure haze? Haze measurement can be used to quantify the optical properties of plastics and packaging films. Obscure films in packaging applications can reduce consumer perception of quality, such as when packaging products look blurry. For plastics with haze, the visibility of the test material becomes more pronounced and reduces the contrast of the observed objects.   Factors affecting haze measurement Part1: light source Different light sources have different relative spectral energy distributions. Because various transparent plastics have their own spectral selectivity, the same material is measured with different light sources, and the obtained light transmittance and haze value are different. The darker the color, the greater the impact.In order to eliminate the influence of the light source, the International Institute of Illumination (CIE) has specified three standard light sources A, B, and C. This method uses a "C" light source.       Part2: Influence of surface condition The surface state of the sample mainly refers to whether the surface is flat and smooth, whether there are scratches and defects, and whether it is contaminated.       Part3: Effect of specimen thickness As the thickness of the sample increases, the light absorption increases, the light transmittance decreases, and light scattering increases, so the haze increases. Transmission and haze can only be compared at the same thickness.  
Lastest company cases about How to calculate haze of transparent acrylic plastic sheet?
2020/03/14
How to calculate haze of transparent acrylic plastic sheet?
What is acrylic sheet? Acrylic is also called special-processed plexiglass. It is a replacement product of plexiglass. The light box made of acrylic has good light transmission, pure colors, rich colors, beautiful and flat, taking into account the two effects of day and night, long life, does not affect the use, and other features.   How to calculate transmittance? In the process of measuring the haze and light transmittance of the sample, it is necessary to measure the incident light flux (T1), the transmitted light flux (T2), the scattered light flux (T3) of the instrument, and the scattered light flux (T4) of the sample. Calculation method of Transmittance: Tt= T2/ t1x100%   How to calculate haze? Haze: H= [t4-t3 (T2/T1)]/ t2x100% The formula of haze value H can be simplified as: H(%)= [(T4/T2)-(T3/T1)]×100%   How to Measure Acrylic Plastic Sheet?(The products that measure haze are Color Spectrum TH-100, CS-700, CS-701 and CS-720) Take Color Spectrum Haze Meter TH-100 as an example 1.Start Connect the instrument to the power source, press the power key, the indicator light is always blue, and the instrument starts normally. 2.0% and 100% calibration. Put the 0% calibration cover on the test port so that the integrating sphere does not receive any light. Press the OK key on the side of the instrument to calibrate.100%: Keep the test port open, let the light from the light source pass through the test port, and press the OK key on the side of the instrument for calibration. 3.Measure After calibration, place the transparent acrylic plastic sheet in the test port and click the test button next to the instrument. The result will be available in 2 seconds. The operation process is very simple.  
Lastest company cases about How to calculate haze
2020/03/09
How to calculate haze
Haze : Wide Angle Scattering   The light before passing through the sample is called incident light, the entire light after passing through the sample is called transmitted light, and the scattered light with a scattering angle greater than 2.5 ° after the transmission sample is called scattered light, haze Is the scattered light than the transmitted light (as show in green color of picture 2) and Tt is the total transmitted light (as show in pink color of picture 1).   So haze equation is Haze = Td / Tt.     Haze Measuring Instrument   We will introduce how to measure haze by CHNSpec Haze Meter TH-100. It can meet both ISO and ASTM standards.   TH-100 haze meter   What is the measurement method of TH-100? This is the light path structure diagram of this haze meter. The light source emits parallel light, passes through the sample and enters the integrating sphere. Part of the transmitted light is parallel light and part is scattered light. A photoelectric sensor is installed on the inner wall of the integrating sphere perpendicular to the parallel beam to obtain the light flux signal. The light trap is used to absorb all the incident light when there is no sample in the test port. The light trap is equipped with a shutter, which is coated with the same high reflectivity coating as the integrating sphere wall. The shutter can be opened and closed as required. Light trap: When measuring the haze, the light trap will open (because the scattered light will be collected to calculate the haze); when measuring the total transmittance, the light trap will be closed; haze meter TH-100 can be automatically measured, all you have to do is place the sample at the test.     For more details of haze meter TH-100, you can refer to the following url   1). Haze Meter TH-100 Working Video https://www.youtube.com/watch?v=qtyhHWB8r_Y&t=24s   2). TH-100 Haze Meter Accuracy Test Video https://www.youtube.com/watch?v=k3b4X-kERss&feature=youtu.be   CHNSpec Tech is specialized on provide color, gloss and haze measurement solutions. If any future inquiry, you are welcome to contact me for more details.
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Lastest company news about How do hyperspectral cameras make color measurements?
How do hyperspectral cameras make color measurements?
In today's era of rapid development of science and technology, color measurement has a vital position in many fields, from product quality control, artistic creation to scientific research. As an advanced optical device, hyperspectral camera brings a new, more accurate and comprehensive solution for color measurement. 一、the basic principle of hyperspectral camera The working principle of hyperspectral cameras is based on the fine capture of spectral information. Unlike traditional cameras, which can only record the color information of the three channels of red, green and blue, hyperspectral cameras can divide the spectrum into many narrow bands in a wide spectral range such as visible light to near infrared, usually up to hundreds or even more. For example, it can divide the spectral range of 400-1000nm into bands with very small intervals, such as 1nm or smaller intervals. When light shines on the surface of the measured object, the reflection, absorption and transmission characteristics of the object to different wavelengths of light are different. Through its special optical system and detector, the hyperspectral camera collects the intensity of the light signal of each band in turn, so as to construct the spectral reflectance curve of the object. This curve records in detail the reflectivity of objects at various wavelengths and is the basic data source for color measurement.   二、the specific process of color measurement (1) Calibration Calibration is a critical step before using a hyperspectral camera for color measurement. The purpose of calibration is to establish an accurate correspondence between the spectral data captured by the camera and the true color values. Standard whiteboards with known spectral properties are often used as calibration references. Standard whiteboards have stable and precisely known reflectance at various wavelengths. The hyperspectral camera takes pictures of the standard whiteboard, records its optical signal intensity in each band, and calculates the response function of the camera according to the known spectral reflectance data of the standard whiteboard, so as to correct the possible spectral deviation, dark current noise and other error factors of the camera, and ensure the accuracy and reliability of the subsequent measurement data.   (2) Image collection After the calibration is completed, the image of the target object can be acquired. When a hyperspectral camera takes pictures of an object, it obtains the intensity information of the light reflected by the object band by band according to the preset spectral band range and resolution. For example, for each pixel in an image, its reflected light data across multiple spectral bands is recorded. If the camera divides the spectral range into 200 bands, then each pixel will have 200 corresponding spectral reflectance values. Together, these data form a three-dimensional data cube, where the two-dimensional plane represents the spatial position information of the image (x, y coordinates), and the third dimension represents the spectral band information (λ). In this way, the hyperspectral camera not only records the color and appearance information of the object, but also contains its spectral characteristics information, which provides more abundant data than traditional cameras.   (3) Data processing and color calculation The massive spectral data collected need to go through complex data processing to get the final color measurement results. First of all, the data should be preprocessed, including removing noise, correcting spectral distortion and other operations. Then, the color is calculated according to a specific color model and algorithm. In the field of color science, the commonly used color models are CIE XYZ, CIELAB, etc. Taking the CIELAB color model as an example, it represents color as three coordinate values based on the human eye's perception characteristics of color: L represents the brightness, a represents the red-green degree component, and b * represents the yellow-blue degree component. By combining the spectral reflectance data collected by the hyperspectral camera with the spectral power distribution of the standard illumination body (such as the D65 standard light source), and integrating according to the color matching function, the coordinate value of the object in the CIELAB color space can be calculated, so as to accurately describe the color attribute of the object. Such as color depth, tone and saturation. In addition, color difference can also be calculated by comparing the color coordinate values of different objects or different parts of the same object, which is used to evaluate the consistency or degree of change of color. 三、the advantages of hyperspectral camera color measurement (1) High precision and high resolution Hyperspectral cameras provide extremely high spectral resolution, which allows them to capture extremely fine color differences in color measurements. For example, in some industries that require very high color accuracy, such as high-end printing, cosmetics production, etc., it can accurately distinguish color changes that are difficult for the human eye to detect, ensuring the consistency of product color and high quality standards. Its high-precision measurement results help to improve the quality control level of products and reduce the rate of defective products caused by color deviation.   (2) Rich spectral information In addition to the tristimulus value information of the color, the spectral reflectance curve obtained by the hyperspectral camera contains detailed information about the object over the entire measured spectral range. This has unique advantages for the color analysis of some special materials or objects. For example, in the field of cultural relics restoration and protection, by analyzing the spectral characteristics of pigments on the surface of cultural relics, we can understand their composition and age information, which provides an important basis for restoration work. In the field of agriculture, the growth status, nutrient content and disease and insect pests of plants can be monitored according to the changes in the spectral reflectance of plant leaves, because the absorption and reflection characteristics of different wavelengths of light will change in different growth stages and health states of plants.   (3) Non-contact measurement Hyperspectral cameras do not need to make direct contact with the object being measured, which is important in many cases. For some fragile, precious or difficult to reach objects, such as art, cultural relics, biological samples, etc., non-contact measurement can avoid damage or pollution to the object. At the same time, it can also achieve fast, large area color measurement, improve the measurement efficiency. For example, in the color detection of large-scale mural paintings, the color information of the entire mural can be quickly obtained, providing comprehensive data support for protection and restoration work.   四、Experimental test of hyperspectral camera in color measurement 1. Experimental purpose Test the Lab value of the sample below 2. List of experimental testing instruments Device name Model number Configuration details Remark CHNSpec hyperspectral camera FS-13 Spectral range: 400-1000nm; Spectral resolution: 2.5nm Spectral band: 1200       3. Experimental content The reflectance curve was obtained by external push scan detection of 400-1000nm hyperspectral camera The experimental measurement process is shown in the figure below: 4. Conclusion The hyperspectral camera FS-13 was used to shoot the customer's samples, and the Lab value of each sample was obtained from the hyperspectral image analysis, which could be used to replace the color difference meter, and the test stability was good, the sampling position of the test sample was flexible, and multi-point measurement could be made to realize automatic detection.
Lastest company news about The application of hyperspectral camera in the measurement of building surface defects
The application of hyperspectral camera in the measurement of building surface defects
In the field of building science, ensuring the quality and safety of buildings is always the focus and core concern of research. With the continuous development of the construction industry and the increasing requirements of people on the living environment, the accurate detection and evaluation of the surface defects of the house has become very important. Traditional inspection methods for building surface defects, such as artificial naked eye observation and simple measuring tools, often have many limitations, such as strong subjectivity, low detection efficiency, and difficulty in finding potential minor defects. The emergence of hyperspectral camera technology has brought a new opportunity for the measurement of building surface defects. Hyperspectral cameras are able to acquire information about objects in multiple narrow and continuous spectral bands, which can not only provide spatial images of the surface of the house, but also reveal the differences in spectral characteristics of different materials. This unique technical advantage makes it have great application potential in the detection, identification and analysis of housing surface defects. The purpose of this study is to deeply explore the application principle, method and practical effect of hyperspectral camera in the measurement of building surface defects, so as to provide new ideas and technical support for the quality inspection and evaluation in the construction industry.   Take FS-23 imaging high spectrometer with built-in push sweep in color spectrum as an example Application principle Hyperspectral cameras work by capturing the light reflected or scattered by a target object and breaking it down into spectral data of different wavelengths. These spectral data reflect the material composition, structure and other characteristics of the surface of the object. In the measurement of building surface defects, the hyperspectral camera can capture the spectral changes caused by aging, damage, pollution, etc., so as to achieve accurate identification of defects. Application advantage 1. High-precision identification: hyperspectral cameras can capture subtle spectral differences, so they can identify various defects on the surface of the house with high precision, such as cracks, shedding, corrosion, etc. 2. Non-contact measurement: The hyperspectral camera adopts a non-contact measurement method, which will not cause secondary damage to the surface of the house, and also avoid the direct contact of the surveyor with the potentially dangerous environment. 3. Fast and efficient: The hyperspectral camera can complete the scanning and data analysis of the surface of a large area of the house in a short time, which greatly improves the measurement efficiency. 4. Comprehensive analysis: Combined with spectral information and spatial information, the hyperspectral camera can conduct comprehensive analysis of the defects on the surface of the house, including the type, location and severity of the defects, providing strong support for the subsequent repair work. Application example In the field of housing detection, hyperspectral cameras can be combined with other modern detection methods, such as acoustic detection, infrared detection, etc., to form a comprehensive detection system. The spectral data obtained through the hyperspectral camera can be integrated with the data of other inspection means to evaluate the structural performance and safety condition of the house more comprehensively. For example, when detecting the aging of the exterior paint of the house, the hyperspectral camera can capture the spectral changes caused by the aging of the paint surface, combined with the infrared detection method to measure the temperature distribution of the paint surface, which can comprehensively evaluate the degree of aging of the paint and potential safety hazards.   As shown below In summary, hyperspectral cameras have significant application advantages and broad application prospects in the measurement of building surface defects. With the continuous progress of technology and the reduction of cost, hyperspectral camera is expected to be more widely used and promoted in the field of house inspection.
Lastest company news about Application of hyperspectrum in the field of ore silicates
Application of hyperspectrum in the field of ore silicates
In the research and application of ore silicates, we are always faced with many challenges. How to accurately identify the different kinds of ore silicate minerals? How to understand the structure and composition changes of ore silicates? How to explore and develop mineral resources efficiently? These questions have long puzzled geologists and mineral resource developers. With the continuous development of hyperspectral technology, these problems seem to usher in new solutions. Hyperspectral technology can capture the unique spectral characteristics of ore silicates, and through the analysis of these characteristics, we can realize the accurate identification of ore silicates, structural analysis and rapid exploration of mineral resources. Therefore, it is of great practical significance to explore the application of hyperspectrum in ore silicates to solve these long-standing problems. 一、 Application Scenarios 1. Identification and classification of ore silicates: Mineral type identification: Different ore silicate minerals have unique spectral characteristics, hyperspectral technology can accurately identify the types of silicate minerals contained in the ore through the analysis of these characteristics. For example, by detecting information such as the location, intensity and shape of absorption or reflection peaks in a specific wavelength range, it is possible to distinguish between different types of phyllosilicate minerals such as kaolinite, montmorillonite and illite. Ore grade assessment: For ores containing multiple mineral components, hyperspectroscopy can evaluate the overall grade of the ore based on the spectral characteristics of different minerals and their relative content. This helps to quickly determine the value and utilization direction of ore during ore mining and processing. 2, ore silicate structure and crystallinity analysis: Structural study: Hyperspectroscopy can detect the structural information of ore silicate minerals. For example, by analyzing the spectral characteristics generated by the vibration of metal ions and hydroxyl groups (-OH) in minerals, it is possible to understand the crystal structure of minerals, the nature of chemical bonds and the coordination of cations. It is of great significance to further understand the physical and chemical properties and formation mechanism of ore silicates. Crystallinity judgment: crystallinity is an important factor affecting the properties of silicate minerals. Hyperspectral technology can judge the crystallinity of minerals according to the changes in their spectral characteristics. For example, with the increase of crystallinity, the intensity, width and shape of the spectral absorption peak or reflection peak of some minerals in a specific wavelength range will change regularly. By monitoring and analyzing these changes, the crystallinity of ore silicates can be accurately assessed. 3, mining area geological mapping and mineral resources exploration: Geological mapping: Hyperspectrum can carry out detailed exploration and analysis of the geological conditions of mining areas, and draw high-precision geological mapping. By identifying the spectral characteristics of different rocks and minerals, it can accurately divide geological units, determine stratigraphic boundaries, identify geological structures, etc., and provide basic data for geological research and mineral resource exploration in mining areas. Mineral resource exploration: In mineral resource exploration, hyperspectral technology can quickly scan a large area of mining areas to detect potential mineral resources. By analyzing the spectral characteristics of silicate minerals, we can find the hidden mineralization information, determine the distribution range and enrichment degree of minerals, and provide strong support for the exploration and development of mineral resources.   二、Practical application Instrument used: Color spectrum FS-23 hyperspectral camera Test effect Conclusion The reflectance of the spectral curve is obvious. In the case of halogen light, the part containing silicate will be obviously bright, and the spectral curve will have obvious characteristic peaks (the setting of exposure time and white calibration are key). 三、Development prospects In the future, the spectral resolution, spatial resolution and signal-to-noise ratio of hyperspectral instruments will continue to improve. The higher spectral resolution allows for more precise capture of the fine spectral characteristics of ore silicate minerals, helping to more accurately identify mineral species and analyze their structures. For example, for some silicate minerals with similar crystal structures and small differences in spectral characteristics, high-resolution spectral instruments can better distinguish them. At the same time, the improvement of spatial resolution will enable the hyperspectral technology to analyze smaller ore particles or mineral structures and provide more detailed mineral distribution information, which is of great significance for the study of the microstructure of ores and the relationship between minerals. With the development of technology, hyperspectral instruments will gradually develop in the direction of miniaturization and portability. This will make the application of hyperspectral technology in field geological exploration, mine site monitoring and other fields more convenient. Geologists can directly detect and analyze the ore in the field, obtain the mineral composition, structure and other information of the ore in time, and provide more timely and accurate data support for the exploration and development of mineral resources.
Lastest company news about The application of hyperspectral camera in capturing and detecting high-voltage line joints
The application of hyperspectral camera in capturing and detecting high-voltage line joints
In the field of power engineering, the condition monitoring of high voltage line joint is always an important link to ensure the safe and stable operation of power system. Overshoot phenomenon is a potential risk in the operation of high-voltage line joints, which can lead to the increase of temperature, resistance, and even fire. Therefore, accurate and timely detection of the phenomenon of loss of power is of great significance to prevent the occurrence of power accidents. This study will focus on the technical principle, application method and practical effect of hyperspectral camera in photographing the high-voltage line joint with a view to providing useful reference for the development of the electric power industry. 一、the characteristics of hyperspectral cameras High resolution: Hyperspectral cameras are capable of capturing high-resolution images, which helps to accurately identify detailed features of high-voltage line joints in complex environments. Spectral analysis capability: The hyperspectral camera can obtain the spectral information of the target object, which is of great significance for analyzing the material composition and temperature distribution of the high-voltage wire joint. 二、the principle of loss of detection The lapse detection usually involves the monitoring of the temperature, resistance and other parameters of the high voltage line joint. When the joint is out of phase (i.e. loss of superconducting state), its temperature will increase and its resistance will increase. By analyzing the spectral information of the joint, the hyperspectral camera can indirectly deduce the change of its temperature and resistance, so as to realize the lapse detection. 三、the application of hyperspectral camera in lapse detection Image acquisition: The hyperspectral camera is used to photograph the high-voltage wire joint and obtain the spectral image of the joint. Data processing: The collected spectral images are processed and analyzed, and key parameters such as temperature and resistance of the joint are extracted. Failure judgment: According to the extracted parameters, combined with the preset threshold value or model, judge whether the joint has a failure phenomenon. 四、Precautions and limitations Environmental factors: Environmental factors such as light, temperature, etc., may affect the shooting effect of hyperspectral cameras. Therefore, it is necessary to pay attention to the control and correction of environmental factors in the shooting process.Data processing capability: The amount of data captured by hyperspectral cameras is large, and strong data processing capability is required. Therefore, it is necessary to configure the corresponding data processing equipment and algorithm in the application process. 五、 Application examples and effects In practical applications, hyperspectral cameras have been used to monitor the joint status of high voltage transmission lines. By taking the spectral image of the joint regularly and analyzing and processing, the abnormal situation of the joint can be found in time, such as abnormal temperature rise, resistance increase, etc., so as to avoid the occurrence of the fault. In addition, the hyperspectral camera can also provide information such as the material composition and aging degree of the joint, which provides a scientific basis for the maintenance and replacement of the joint.Instrument: Color spectrum built-in push sweep FS-23 convenient high spectrometer. Auxiliary equipment: constant spectral light source - transmission device Light source: linear halogen light source In summary, the hyperspectral camera has certain application potential and advantages in the detection of high voltage line joints. However, in practical applications, it is also necessary to pay attention to the limitations and challenges in terms of environmental factors, data processing capabilities and cost issues. With the continuous progress of technology and the reduction of cost, the application prospect of hyperspectral camera in the field of power inspection and monitoring will be broader.
Lastest company news about Recognition and application of palmprint fusion in hyperspectral images
Recognition and application of palmprint fusion in hyperspectral images
With the development of science and technology and the progress of society, personal identity verification and security verification have attracted more and more attention. As a biometric identification technology, palmprint recognition has been widely used in the field of identity verification and security verification because of its stability and universality. However, traditional palmprint recognition techniques usually only use visible light images, which makes them vulnerable to counterfeiting. In order to solve this problem, the palmprint image recognition technology acquired by hyperspectral imager has been developed. Hyperspectral images are images taken at different wavelengths. In the field of palmprint recognition, hyperspectral images can provide more information, including skin color, blood vessel distribution, skin texture, etc. By fusing images of different wavelengths, the accuracy and reliability of palmprint recognition can be improved. In the palmprint fusion recognition of hyperspectral images, the first problem to be solved is how to obtain high quality hyperspectral images. Traditional hyperspectral cameras are expensive and difficult to popularize. Therefore, how to use the existing equipment and technology to obtain high quality hyperspectral image has become the focus of research. One method is to acquire hyperspectral images using multi-frequency light sources and optical filters. Another method is to obtain hyperspectral images using portable devices such as smartphones. After obtaining high quality hyperspectral images, the next problem to be solved is how to effectively extract palmprint features. Traditional palmprint feature extraction methods are mainly based on visible light images. However, since hyperspectral images contain more information, new feature extraction methods need to be developed. One approach is to use deep learning techniques to extract palm print features. Another method is to extract palmprint features using multiple wavelength information in hyperspectral images. In the field of palmprint recognition, the commonly used classification algorithms include support vector machine, neural network and decision tree. However, these algorithms have some problems in processing hyperspectral images, such as high computational complexity and unstable classification results. Therefore, new classification algorithms need to be developed. One way is to use deep learning techniques to classify. Another method is to use multiple wavelength information in hyperspectral images for classification. The palmprint fusion recognition technology of hyperspectral image has a wide application prospect. In terms of personal identity verification, the palmprint fusion recognition technology of hyperspectral images can be used for security verification of bank accounts, electronic payments, e-commerce, etc. In terms of public security, the palmprint fusion recognition technology of hyperspectral images can be used for criminal investigation, immigration management, etc. In short, palmprint fusion recognition of hyperspectral images is a biometric recognition technology with wide application prospects. The accuracy and reliability of palmprint recognition can be improved by obtaining high quality hyperspectral images, extracting palmprint features and selecting appropriate classification algorithms. With the development of technology and the increasing social demand for security, the palmprint fusion recognition technology of hyperspectral images will play an increasingly important role in the field of identity verification and security verification.
Lastest company news about Application of spectrophotometer to color management of silica gel products
Application of spectrophotometer to color management of silica gel products
Silicone products have been widely used in industry and daily life because of their excellent performance and wide application fields. In the production process of silicone products, color management is crucial, which directly affects the quality of products and market competitiveness. As a high-precision color measuring instrument, the spectrophotometer provides strong support for the color management of silica gel products. Spectrophotometer is a color measuring instrument based on spectral technology, which can accurately measure the color value of the sample surface, including brightness, color difference, chroma and so on. By comparing the color with the standard sample, the precise control and management of the color can be achieved. This paper introduces the application of spectrophotometer in the color management of silica gel products. In the production process of silicone products, color management mainly includes two aspects: one is the color matching of raw materials, and the other is the color monitoring in the production process. The spectrophotometer plays an important role in both aspects. First of all, the color matching of raw materials is an important part of the color management of silicone products. Through the color measurement and analysis of the original silica gel material by the spectrophotometer, an accurate color scheme can be formulated according to the actual needs. At the same time, a color database can be established to precisely control the color differences between different batches. Then through the color matching software to calculate the formula and the target color. This method is very precise and ensures that the color of the finished product is almost identical to the design requirements. The color matching software with the color spectrum can be set according to the demand, obtain the formula of the desired target color, and use scientific algorithms to calculate the color closer to the demand, thereby reducing the color deviation. Secondly, the color monitoring in the production process is the key to ensure the quality of silicone products. The real-time measurement of silica gel products in the production process through the spectrophotometer can find the color deviation in time and adjust it, so as to ensure the stability and consistency of product color. In addition, the spectrophotometer can also be used to study the relationship between the color and performance of silicone products, providing a reference for the optimization of product performance. For example, the change of silicone products of different colors under different temperature and humidity conditions is studied to optimize product performance. In short, the spectrophotometer plays an important role in the color management of silicone products, and provides strong support for the precise control of color in the production process. Through the application of spectrophotometer, the quality of silicone products can be improved, the production cost can be reduced, and the market competitiveness can be improved. At the same time, with the continuous progress of science and technology and the continuous expansion of application fields, the application prospect of the spectrophotometer in the color management of silicone products will be broader. Hangzhou Colar Spectrum Technolcgy Co.,Ltd. is committed to the research, production and sales of optical inspection instruments such as color difference meter, bench color difference meter, spectrophotometer, color difference meter, handheld fog meter, transmittance fog meter, gloss meter, color matching software, hyperspectral camera, etc. Focus on paint, plastic, textile, paint ink, glass, solution, metal plating, anodizing, spraying, auto parts and other industries color detection, our production of color difference meter, handheld color difference meter, desktop color difference meter can meet all kinds of substances color difference, color detection. Color spectrum color difference instrument manufacturers welcome you to consult any color problems.
Lastest company news about How does a color meter detect color difference in porcelain?
How does a color meter detect color difference in porcelain?
As one of the traditional Chinese handicrafts, porcelain is loved by people for its unique texture and color. However, due to various reasons, there will be color differences between porcelain. Color difference is one of the important indicators to measure the quality of porcelain, so it is very important to detect the color difference of porcelain. Color meter is an instrument used to detect color, widely used in various fields, including porcelain color difference detection. This article will answer the reason of color difference of porcelain in detail, and introduce how to detect color difference of porcelain. First, the reason for the color difference of porcelain 1. Glaze difference Glaze is a transparent or translucent glassy thin layer covered on the surface of porcelain, and its composition and thickness directly affect the color of porcelain. Different batches or different materials of glaze may produce color differences. 2. Firing process The firing process of porcelain also affects its color. Different kilns, firing temperatures, firing times, etc., can cause color differences in porcelain. 3. Lighting conditions The color of porcelain is affected by the lighting conditions. Different light colors and intensities will make porcelain show different color effects. 4. Viewing Angle and visual error Viewing Angle and visual errors can also cause color differences in porcelain. Depending on the Angle of view, the color will be different. In addition, the perception of color by the human eye will also cause errors due to fatigue, emotions and other factors. Second, the color meter detection of porcelain color difference method A color meter is an instrument based on optical principles that measures the color of an object's surface to reflect its true color. Here are the steps to use a color meter to detect color difference on porcelain: 1. Choose the right color meter Choose the appropriate color meter according to your needs, such as spectrophotometer, colorimeter, etc. These instruments can measure the intensity of the red, green, and blue colors on the surface of an object to produce color data. 2. Set a standard white light source Standard white light source is the basis of color measurement. Choose an appropriate standard white light source, such as a D65 light source, to ensure that the measured color matches the standard color. 3. Calibrate the color meter The color meter needs to be calibrated before the color measurement is performed. This ensures the accuracy of the color meter and reduces measurement errors. 4. Measure the color of the porcelain The instrument test port fits the area where the color difference needs to be identified to ensure that the color of the area is a solid color, and the area is larger than the size of the instrument test port for measurement. 5. Compare with standard template The measured color data is compared with the standard template to determine whether there is a color difference. If there is a color difference, it can be assessed according to the degree of color difference. Conclusion To sum up, the reasons for the color difference of porcelain mainly include glaze differences, firing processes, lighting conditions, viewing angles and visual errors. Using color meter to detect color difference of porcelain can improve the control and evaluation of porcelain quality. By selecting the appropriate color meter, setting the standard white light source, calibrating the color meter, measuring the color of porcelain and comparing with the standard sample, the color difference of porcelain can be accurately detected. This is of great significance for the daily appreciation of porcelain, the evaluation of the quality of the collection and the control of the production process.   Color Spectrum Technology (Zhejiang) Co., Ltd. is committed to the research, production and sales of optical inspection instruments such as color difference meter, bench color difference meter, spectrophotometer, color difference meter, handheld fog meter, transmittance fog meter, gloss meter, color matching software, hyperspectral camera, etc. Focus on paint, plastic, textile, paint ink, glass, solution, metal plating, anodizing, spraying, auto parts and other industries color detection, our production of color difference meter, handheld color difference meter, desktop color difference meter can meet all kinds of substances color difference, color detection. Color spectrum color difference instrument manufacturers welcome you to consult any color problems.
Lastest company news about Identification of split mouth chestnut by hyperspectral image technique
Identification of split mouth chestnut by hyperspectral image technique
In this study, a 400-1000nm hyperspectral camera was applied, and FS13, a product of Hangzhou Color Spectrum Technology Co., LTD., could be used for related research. The spectral range is 400-1000nm, the wavelength resolution is better than 2.5nm, and up to 1200 spectral channels can be reached. The acquisition speed can reach 128FPS in the full spectrum, and the maximum after band selection is 3300Hz (support multi-region band selection). Chestnut is one of the edible nuts in China, high quality and low price, rich in nutrition, the annual output ranks first in the world. Schizorhynchus is one of the important indexes to evaluate the external quality of chestnut. Schizorhynchus is a kind of chestnut whose peel is cracked under natural production conditions or damaged by external forces such as mechanical damage. The exposed pulp of chestnut can easily lead to a series of food safety problems. At present, the split mouth chestnut mainly adopts manual sorting, which is subjective and has a high sorting error rate. Therefore, the study of an effective and applicable method for the detection of split mouth chestnut can lay a foundation for the rapid non-destructive detection and classification of chestnut. In view of the identification methods of defective chestnuts, the research group has done some research in the early stage, but there is no report on the identification methods of cracked mouth defects in defective chestnuts. Near infrared spectroscopy technology can quickly, non-destructive and effective detection of internal quality information of agricultural products, machine vision technology can well reflect the external characteristics of agricultural products, have been widely used in agricultural product quality detection, but both can not meet the requirements of detection of internal and external quality of agricultural products. With the rapid development of science and technology and the rapid development of computer technology, hyperspectral image detection technology, which integrates spectrum and image, has been paid more and more attention by researchers in the field of non-destructive testing of agricultural products. Hyperspectral images can record abundant quality information of agricultural products and can be used to detect both internal and external quality of agricultural products. Scholars at home and abroad have applied hyperspectral image technology to non-destructive testing of fruits, vegetables, tea and meat and achieved good results. However, there is no study on the detection of split mouth chestnut by hyperspectral image technology. In this paper, hyperspectral image technology is used to identify split mouth chestnut, extract and analyze the spectral curves of split mouth chestnut and qualified chestnut, select the characteristic wavelength, adopt the band ratio algorithm, extract the cooperative image through texture filtering, and combine with a series of mathematical morphology to complete the identification of split mouth chestnut, which can provide a new idea for online detection of split mouth chestnut. In this paper, hyperspectral image technology was used to identify split mouth chestnut. 1) The characteristic wavelengths (477nm, 769nm and 923nm) were selected by principal component analysis, and the band ratio image obtained by different combinations of the characteristic wavelengths and the single band image at the characteristic wavelength were analyzed and compared, indicating that the 769mm/923nm band could best reflect the split nozzle region than the image, and was more conducive to the extraction of split nozzle features. 2) The image of 769nm/923nm band ratio was analyzed, the image based on collaborative texture filtering was extracted, and the target region was extracted by combining threshold segmentation and mathematical morphology. The correct recognition rate of cracked beak was 94.3%, the recognition rate of qualified chestnut was 96.8%, and the overall recognition rate reached 95.5%. The filter based on the filter type hyperspectral image detection system is designed to realize the on-line, rapid and non-destructive detection of split mouth chestnut. At the same time, it also provides a new method for the quality detection of other agricultural products.