CHNSpec Technology （Zhejiang）Co.,Ltd Company News

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.

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.

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.

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.