CHNSpec Technology （Zhejiang）Co.,Ltd Company News

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.

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.

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.

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.

In the tattoo industry, color matching and harmonization is a key factor in determining the success of tattoo works. In order to get an accurate color effect, the tattoo artist needs to blend the tattoo color. For the tattoo color color work, in the past is to rely on experienced color master, with the eye observation of color, and now the rising computer color system has become a very powerful color tool for color manufacturers. If you want to adjust the color accurately, you first need to measure the color. However, because the tattoo color is dry, the color will appear cracks, which will lead to inaccurate measurement data, so you need to use a non-contact measurement method to measure the wet color, which can ensure the accuracy of the color. The non-contact spectrophotometer is a high-precision color measuring instrument, which can measure the color of the surface of an object quickly and accurately by a non-contact way. For the tattoo industry, the non-contact spectrophotometer can directly measure the wet color sample without contaminating or damaging the sample; No need to wait until dry in the test, saving the time in the drying process, but also can adjust the color ratio in real time, saving costs. The color spectrum non-contact spectrophotometer with the color system, you can quickly and accurately deploy the desired tattoo color. Before using a non-contact spectrophotometer to color the tattoo color, the basic color of the tattoo color should be entered into the color mixing system. After the basic color of the tattoo color material is entered into the color mixing system, you can begin to use this equipment for color matching. Measure the color of the tattoo pattern you want to tone, the measured data is input into the color software, the software will automatically calculate the formula, and then match the color according to the formula, you can get the desired tattoo pattern color. The whole process of color matching is over, which is very convenient and fast. In addition to being used in tattoo colors, non-contact spectrophotometer can also be used in cosmetics, food, liquid, powder and other fields. The non-contact spectrophotometer can also be installed on the assembly line and the robot arm to monitor the color of the product in real time, carry out data return, and provide timely product quality feedback.

In the food industry, the color of the outer packaging of the product plays a crucial role in the image and attractiveness of the product. Color can not only enhance the visual effect of the product, but also affect the purchase decision of consumers. Therefore, it is critical for food manufacturers to accurately control and measure the color of product packaging. In recent years, the portable color difference meter has been widely used as an efficient color detection tool for food packaging. The portable color difference meter is a precision optical measuring instrument that can accurately and quickly measure the color of the product. It can help food manufacturers accurately detect and control the color of product packaging. The portable color difference meter can not only measure the brightness, saturation and hue of the color, but also detect the color difference, thus ensuring that the color of the product meets the requirements of the target color. The portable color difference meter is characterized by its portability and flexibility. It is small in size and light in weight, and can be easily carried to the production site for measurement at any time. In addition, the color difference meter also has the advantages of simple operation and convenient use. Users only need to place the color difference meter on the sample to be tested to get accurate color data quickly. This data helps control color in the production process. The following is a brief description of the measurement process: Prepare product packaging samples and a portable color difference meter to be measured; First, the color of the target sample is detected with the portable color difference meter, the test port of the color difference meter is aligned with the measured target sample, and the color data is produced in 1 second by pressing the button; 将仪器切换到测色差的界面，同样将色差仪的测试口对准试样，按下按钮，仪器会自动计算出样品之间的色差数据，给出符合要求与否的判定结果。 In addition to use on the production site, portable color difference meters can also be used in laboratories and research institutions. For food manufacturers, accurately mastering the color of food packaging is not only a technical challenge, but also a business need. Portable color difference meters can help manufacturers better understand consumer buying behavior and the impact of color on product sales. By using color difference meter for color measurement and color difference comparison, manufacturers can optimize the color design of products and improve the market competitiveness of products. In addition, the portable color difference meter can also be used for the detection of food quality. By comparing the difference between the actual color of the product and the standard color, the quality level of the product can be assessed. If there is a large difference between the color of the product and the standard color, it may indicate that the product has quality problems or there is a problem in some aspects of the production process. In this case, the color difference meter can help the manufacturer to find and solve the problem in a timely manner, thus ensuring the quality stability and consistency of the product. In short, portable color difference meter as an efficient food packaging color detection tool, has a wide range of application prospects in the food industry. It can help food manufacturers accurately control and measure the color of product packaging and improve the market competitiveness of products. At the same time, the portable color difference meter can also provide data basis for the detection of food quality in laboratories and research institutions. With the continuous development of the food industry and the improvement of consumer requirements for product quality, portable color difference meters will play a more important role in the future.

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). The nutritional value of loquat is rich, the fruit skin is thin and juicy, sweet and sour. Kaiyang, Guizhou province is one of the planting places of loquat, and the soil in Kaiyang is rich in selenium, which makes Kaiyang loquat rich in selenium popular. However, loquat fruit is more delicate, in the process of picking and storage, the quality of the fruit will decline, and the change of sugar content is very obvious. With the respiration of loquat fruit, sugar content will gradually increase, which will lead to poor sweetness and sour degree of fruit, affect the taste and flavor of loquat, and lead to the decrease of its economic value. Although the traditional detection method of fruit sugar content in China has high accuracy, it is destructive, inefficient and time-consuming. However, there is no uniform standard for judging fruit quality by experience, which leads to the randomness of the result and inaccurate quality sorting. Therefore, in the fruit quality sorting, whether it is the traditional detection method or the subjective judgment of personal experience, the fruit quality is uneven, and it is difficult to reflect the competitive advantage of China's fruit market. Kaiyang Loquat is a characteristic fruit in Guizhou province. The quality grading of its fruit can accurately locate its market price and maintain its regional brand status. It can be seen that it is of practical significance to establish a set of rapid and non-destructive sugar content detection method for loquat fruit to monitor its quality and guide the market price. In order to realize rapid non-destructive detection of fruit quality, grade fruit, and enhance the economic value of fruit, a method based on visible/near-infrared hyperspectroscopy and chemometrics was proposed to predict the sugar content of Kaiyang se-rich loquat. First, spectral data of loquat samples were obtained by hyperspectral camera, and the actual sugar content of loquat samples was measured. Then, the spectral data of the samples were extracted and pre-treated by SNV and MSC. PCR and PLSR models for predicting sugar content of loquat were established based on the original and pre-treated spectra.

In the process of furniture making and renovation, painting color is a crucial process. It is not only related to the beauty of the furniture, but also directly affects the overall style and atmosphere of the furniture. With the development of science and technology, the application of color matching software in color management is more and more extensive, providing a more accurate and efficient solution for furniture painting and color matching. 一、the traditional painting method and its limitations The traditional painting method mainly relies on the experience of the color palette master and the naked eye judgment, by adding different proportions of pigments or pastes to adjust the color of the paint. Although this method can meet the color needs to a certain extent, there are obvious limitations: 1. Strong subjectivity: the color mixing results are often affected by the personal experience and subjective feelings of the color mixing master, and it is difficult to ensure the accuracy and consistency of the color. 2. Low efficiency: The traditional color mixing method requires repeated color testing and adjustment, which consumes a lot of time and materials. 3. It is difficult to achieve accurate color matching: for complex or special color needs, the traditional method is difficult to achieve the ideal color mixing effect.   二、Accurate color management of color matching software The color matching software realizes the accurate management and control of color through digital technology, and provides a more efficient and accurate solution for furniture painting and color matching. Its main advantages are reflected in the following aspects: 1. Color database support: Color matching software built-in rich color database, covering a variety of common and special colors, users can directly select or reference, quickly determine the target color. 2. Accurate color matching algorithm: The software automatically calculates the required pigment or color paste ratio according to the user's input color parameters or samples through advanced color matching algorithm to achieve accurate color matching. 3. Visual preview: The software supports real-time preview function, and users can view the color mixing results at any time during the color mixing process to ensure that the color is accurate. 4. Efficiency improvement: The use of color matching software for color mixing can greatly shorten the color mixing time, reduce material waste, and improve production efficiency. With the development of science and technology, the application of color matching software in the field of furniture painting is more and more extensive. Its precise color management and control functions provide a more efficient and accurate solution for furniture manufacturing and renovation. Taking Color spectrum Technology as an example, its intelligent color matching solution has effectively assisted customers to solve the problem of painting color matching. The scheme covers the whole process from color selection, color matching to proofing, greatly simplifying the work of color matching technicians. Through simple instrument operation and data processing, technicians can successfully complete the color matching of samples. This scheme is not only easy to operate and easy to use, but also realizes the electronization of sample data and formula data to ensure the accuracy and color matching efficiency of the formula. In addition, it offers a variety of color schemes to choose from, which can be flexibly adjusted according to cost and actual needs. What is more worth mentioning is that the program supports the use of waste and used materials for color matching, which effectively saves costs. In the painting industry, the application of intelligent color matching is helping enterprises to achieve transformation and upgrading, enhance competitiveness, and better cope with the increasingly fierce market competition at home and abroad.

As a transparent or translucent material, acrylic plate is widely used in various fields, such as construction, home, advertising and so on. Its optical performance is one of the important indexes to measure its quality, among which transmittance and fog are two key parameters. The transmittance reflects the ability of the acrylic plate to pass light, while the fog reflects the effect of its internal or surface defects on the scattering of light. Acrylic sheet light transmittance and fog test Fog refers to the degree to which the light inside or on the surface of a material deviates from the direction of incidence due to scattering, usually expressed as a percentage. For acrylic panels, the level of fog directly affects its transparency and visual effect. However, different applications have different requirements for the fog of acrylic sheets. High-quality acrylic plate should have a very high transparency, such as colorless transparent plexiglass plate, light transmittance of more than 92%, pure acrylic plate light transmittance is very high, can reach more than 90%. During the processing process, the percentage of acrylic will affect the light transmittance of the product, in addition, the thickness of the sheet will also affect the light transmittance of the acrylic sheet. It should be noted that the degree of fog is not the only indicator to measure the quality of acrylic plate, but also should be combined with other parameters such as light transmittance, hardness, weather resistance and other comprehensive considerations. Acrylic plate has high requirements for light transmittance, and the measurement of highly transparent acrylic plate needs to be measured with a transmittance meter (fog meter). Such as color spectrum high-precision transmittance meter (fog meter) can easily provide fog, transmittance one-stop measurement solution. Transmittance test: Transmittance refers to the transmittance of light through the material, expressed as a percentage. When testing, an instrument such as a transmittance meter or spectrophotometer can be used. Place the acrylic sheet sample on the test bench, ensuring that the sample fits tightly to the test bench without bubbles or gaps. Then start the instrument for measurement, the instrument will automatically emit the light source, measure the intensity of the transmitted light after passing the acrylic plate sample, and calculate the transmittance value. Haze test: Haze test requires the use of fog meter. Before the test, place the fog meter on a stable workbench, turn on the power and preheat it to a stable working state. Then, the acrylic sheet sample is placed on the test bench of the fog meter, ensuring that the sample is tightly fitted to the test bench. Start the fog meter for measurement, the instrument will automatically emit a light source, measure the intensity of scattered light after passing the acrylic plate sample, and calculate the fog value. During the testing process, the following points need to be noted: 1. Ensure that the test environment is stable to avoid the influence of light interference and temperature change on the measurement results. 2. Select the appropriate test wavelength and measurement time to obtain accurate test results. 3. The surface of the sample should be clean and free of scratches and stains to avoid affecting the test results. In order to ensure the quality of the acrylic sheet, it is necessary to test the light transmittance and fog degree. A light transmittance test gives an idea of how transparent the material is, while a fog test assesses whether there are defects or contamination inside or on the surface of the material. In practical applications, the appropriate test methods and instruments can be selected according to the needs of the test, and the quality of the acrylic plate can be comprehensively considered in combination with other parameters.

In the flooring market, solid wood composite flooring is favored by consumers because of its beauty and stability of solid wood flooring and the economic benefits of composite flooring. As one of the important indicators to measure the quality and appearance of solid wood composite flooring, gloss has specific requirements for the overall beauty and service life of the floor, and it also needs to be accurately detected by a professional gloss meter. The gloss of the solid wood composite floor refers to the ability of the floor surface to reflect light, usually expressed by the value measured by the gloss meter. Different types of solid wood flooring have different requirements for gloss, but in general, the gloss of high-quality solid wood flooring should meet the following requirements: 1. Uniform gloss: The gloss of each area of the floor surface should be consistent, and there should be no obvious gloss difference. 2. Durable gloss: During the use of the floor, its gloss should be able to maintain for a long time, and it is not easy to reduce due to wear, pollution and other factors. 3. Moderate gloss: Too high or too low gloss will affect the overall beauty of the floor. Too high gloss will make the floor surface too harsh, and too low gloss will make the floor appear dull. Therefore, the gloss of the solid wood composite floor should be moderate, which can show the natural beauty of the floor and ensure the comfort of use.   From the point of view of product quality, gloss also reflects the advantages and disadvantages of the floor surface treatment process. High-quality solid wood composite flooring should have a uniform and stable gloss, both visually and tactile give people a comfortable feeling. If the gloss is too high or too low, it may mean that there is a problem with the coating quality of the floor, such as uneven, too thin or too thick. So, how to accurately detect the gloss of the solid wood composite floor? This requires the help of a professional gloss meter. Among the many choices, the CS-300 SE series of color spectrum gloss meters can be trusted. This gloss meter has an extremely high repeatability of 0.2GU, ensuring the accuracy and consistency of measurement results. It uses a lithium battery charging method to provide a single charge can support up to 100,000 measurements of ultra-long life, greatly meeting the needs of long-term, high-frequency measurement. In addition, the CS-300 SE series gloss meter can store 5000 pieces of data in a single machine, which is convenient for users to view and manage at any time. At the same time, it also comes with PC side management software, support computer side operation instrument, data printing, export and test report generation, to provide users with a more convenient and efficient data management. Using the color spectrum gloss meter CS-300 SE series, you can easily and accurately detect the gloss of solid wood composite flooring to ensure that the appearance quality of the floor meets the standard. Before using a gloss meter for testing, you need to do a good job of preparation. Make sure the floor surface is clean and free of dust, stains and scratches. At the same time, the instrument is calibrated according to the operating manual of the gloss meter to ensure the accuracy of the measurement results. When detecting, a representative measuring point should be selected. Often, multiple measurements are taken in different areas of the floor, such as the center, edges, and corners, and average to obtain more reliable data. When measuring, place the probe of the gloss meter vertically and smoothly on the floor surface to ensure that the measured light is perpendicular to the floor surface, press the measurement button, the instrument will quickly give the gloss value. The gloss of solid wood composite flooring is one of the important indicators of its appearance quality. By using a professional gloss meter for detection, you can accurately understand the gloss of the floor, and take appropriate measures to improve according to the test results. When purchasing and using solid wood composite flooring, consumers should pay attention to the gloss index of the floor to ensure the overall beauty and service life of the floor. It should be noted that different models of gloss meters may differ in measurement accuracy and scope of application. Therefore, when selecting a gloss meter, an instrument with reliable performance and high precision should be selected according to the actual needs and testing standards.

In the field of automobile manufacturing, the color matching and quality of the interior not only affect the visual experience of drivers and passengers, but also affect the overall quality and brand image. As consumers' demands for automotive interiors continue to rise, accurate color management has become an important challenge for automakers. The appearance of color difference meter provides an efficient, accurate and reliable solution for automotive interior color management. The complexity of automotive interior color management stems from a variety of factors. First, automotive interiors are usually made up of a variety of different materials, such as plastic, leather, fabric, and metal, each with its own unique properties in terms of color presentation and stability. Second, changes in lighting conditions can have a significant impact on the perception of interior color, from natural light during the day to interior lighting at night, colors may take on different effects. In addition, consumers have high expectations for color consistency and accuracy, and any slight color difference may be keenly perceived.   As an advanced optical measuring instrument, colorimeter can accurately measure and analyze the color difference of objects. By quantitatively measuring the color of individual components in automotive interiors, colorimeters can provide objective, accurate data to help manufacturers assess color consistency and accuracy. Whether in the procurement stage of raw materials, or in the production process of quality control, the color difference meter can play a key role. In raw material procurement, color difference meters can help car manufacturers screen material suppliers that meet color standards. By measuring and comparing samples provided by suppliers, we ensure that the purchased materials are in the same color as the design requirements, thereby reducing production delays and cost increases due to material color differences.   During the production process, the color difference meter enables the rapid inspection of the interior parts of each production batch. Timely detection and correction of color deviation, to avoid unqualified products into the next process, effectively improve production efficiency and product quality. At the same time, the color difference meter can also provide intuitive color feedback for workers on the production line, helping them to better adjust the production process and parameters to achieve the ideal color effect.   In addition to its application in the production process, color difference meters are also of great value in the development and design phase of automotive interiors. Designers can use the color difference meter to evaluate and optimize different color schemes, and based on the measurement data, choose the interior color combination that best meets the market needs and brand positioning. In addition, the color difference meter can also be used to monitor the color change of the product under different use environments and times, providing data support for the durability and stability of the product.   As a powerful tool, the color difference meter provides a comprehensive solution for automotive interior color management. It not only helps to improve product quality and meet consumers' high requirements for color, but also improves the production efficiency and market competitiveness of automobile manufacturers. Color spectrum Technology has been in the automotive interior industry for many years and can provide you with a full range of color measurement solutions. Our range of precision colorimeters ranges from small precision colorimeters to portable colorimeters to benchtop colorimeters - you can always find the right instrument for you.

In the food industry, soy sauce as a common and important condiment, its quality and appearance characteristics have attracted much attention. Among them, chroma is a key indicator to measure the quality of soy sauce, which not only affects the visual perception of consumers, but also reflects the production process and quality stability of soy sauce to a certain extent. So, how to accurately detect the color of soy sauce? Benchtop liquid colorimeters provide us with a precise and efficient solution. The color of soy sauce is mainly derived from a series of chemical reactions that occur during the brewing process, including the Maillard reaction and the caramel reaction. Under normal circumstances, high-quality soy sauce should show a brown or reddish-brown, bright and uniform color. However, if there is a deviation in color, it may indicate an anomaly in the production process, such as raw material quality problems, improper fermentation conditions or unreasonable use of additives. In addition, for consumers, the color of soy sauce will also affect their purchase decisions and judgments on product quality.   Traditional soy sauce chroma detection methods often rely on artificial visual evaluation, which is subjective and easy to be affected by environmental light, observer experience and emotion, resulting in poor accuracy and repeatability of results. In order to overcome the limitations of traditional visual colorimetry, modern instrument detection methods have been widely used. Among them, the bench liquid colorimeter, as a special instrument for measuring liquid colorimetry, has the advantages of fast, accurate and good repeatability, and plays an important role in the detection of soy sauce colorimetry.   DS-812N/DS-816N Desktop colorimeter is a high precision desktop colorimeter specially built for liquid colorimeter. It can measure up to more than 30 chroma indicators, including the platinum Cobalt index, Gardner, Sayport and Chinese, US, European pharmacopoeia standards. The instrument uses intelligent zero-point calibration technology, which takes only 1.5 seconds for a single measurement, and has powerful data storage capacity, which can hold more than 100,000 data. Its wide range of applications, excellent performance in the food industry, suitable for the detection of soy sauce color. Table liquid colorimeter test procedure 1. Sample preparation: Prepare the soy sauce sample and clean container to be tested. The container should be cleaned and wiped clean before use to ensure that there are no impurities and bubbles. Pour the soy sauce into the container, taking care to remove bubbles as much as possible so as not to affect the measurement results. 2. Instrument calibration: After starting up, black and white calibration is performed to ensure the accuracy and reliability of the instrument measurement results. 3. Place the sample: Exit the calibration page and place the prepared soy sauce sample in the measurement position to ensure that the sample is placed stably and avoid light leakage affecting the result. 4. Measurement and preservation: press the measurement key to measure and save the sample data as the standard sample value. After the standard sample measurement is completed, the sample measurement method is consistent with the standard sample. After the measurement is completed, the sample data are compared to visually observe whether there is a color difference in soy sauce. The advantage of precise application 1. High accuracy: The standard deviation of the spectral reflectance and transmittance of the desktop liquid colorimeter is extremely low, which can accurately quantify the color data of soy sauce and meet the requirements of manufacturers for the measurement of soy sauce color difference. 2. High repeatability: The instrument has a high degree of repeatability, and can maintain stable measurement results even when the environment changes, improving the reliability of the test results. 3. Intelligent operation: Some advanced desktop liquid colorimeters also have intelligent functions, such as automatic sample identification, automatic measurement and analysis of data, which greatly improves work efficiency and measurement accuracy.   The application of benchtop liquid colorimeter in soy sauce colorimetry provides a powerful quality control tool for soy sauce production enterprises. By accurately measuring the color of soy sauce, enterprises can better ensure the stability and consistency of product quality, meet the needs of consumers for high-quality soy sauce, and enhance their competitiveness in the market.