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Sports floor features

March 23, 2019 by by56014904  

1. Maple sports wood flooring, suitable for professional basketball competition venues, professional volleyball venues, professional badminton courts, squash courts, large-scale performance stage venues, table tennis venues and other indoor sports venues. The characteristics of theelastic knight sport flooring are: 1. Maple sports wood flooring has good elasticity and moderate hardness; 2, the color is light and bright; the texture is clear, the color is light and elegant; 3. Maple sports wood flooring has wear resistance, corrosion resistance, vibration absorption and sound absorption performance; 4, the sports floor is strong, not easy to deform; its texture is tight, clear, and good viewing; Sports floor Second, the interlocking knight sport flooring, suitable for non-professional competition basketball courts, badminton hall floor, integrated internal sports venues. Sports floor board product features: 1. Elm sports wood flooring has a hard texture, easy to dry, and does not change color for a long time. Its wood ratio is large, its shrinkage is large, and its strength is high. 2, Elm International said that oak, rich in China's Jilin Province, Heilongjiang, Xiaoxing'anling area, the market saw most of the oak are Chinese elm 3, Elm sports floor structure is dense, not easy to saw, smooth cut surface, easy to crack, warping deformation, not easy to dry. Moisture resistant, abrasion resistant, not easy to bond, good coloring performance. Third, the sports floor, it is suitable for basketball driving range, badminton court, small performance stage venue, table tennis court and other indoor sports venues. Sports floor 1. The sports floor is elastic, the processing performance is good, the cut surface is smooth, and the paint and the glue are good. Birch is a mid-range timber; 2. The gripping force of the standard prefabricated knight sport flooring is strong, the material toughness is good, the material structure is delicate and soft and smooth, and the texture is slightly softer than maple; 3, the material of the sports floor is even, the annual ring is slightly obvious, the texture is straight and obvious, the color is soft, the texture is clear and smooth; the wood is fine and pale yellowish. At present, China's sports wood flooring market is very chaotic. Some unscrupulous traders only make fraud for direct benefit, but the price of basketball wood flooring is very low. However, the main performance and technical indicators can not meet the requirements of professional basketball wood flooring. For example, friction coefficient, shock absorption and compression, and jumping power. This will seriously jeopardize the personal safety of basketball players in the future, not to mention the excellent basketball experience. Sports flooring "pursuit of excellence, dedicated service", with professional product quality and perfect corporate services to cast sports flooring brand. Please believe in the power of the brand, professional quality and dedicated service. Welcome to the site.

Optical accessories for machine vision components

March 20, 2019 by by56014904  

As production costs and time-to-market pressures increase, manufacturers are forced to use more machine vision automation equipment to replace traditional workers and craftsmanship; hazardous work environments that are suitable for manual work or where artificial vision is difficult to meet. Machine vision is often used to replace artificial vision; in mass industrial production processes, manual visual inspection of product quality is inefficient and inaccurate, and machine vision inspection methods can greatly improve production efficiency and automation of production. In the industry applications, mainly in the pharmaceutical, packaging, electronics, automotive, semiconductor, textile, tobacco, transportation, logistics and other industries, the use of machine vision technology to replace labor, can provide production efficiency and product quality. For example, in the logistics industry, machine vision technology can be used for sorting and sorting of express delivery. There is no such thing as manual sorting by most courier companies, reducing the damage rate of articles, improving sorting efficiency and reducing manual labor. Optical accessories provide all the performance and flexibility benefits of PC-based systems, but are more tolerant of harsh plant environments than PC-based systems. high purity YVO4 laser crystal make it easier for users to configure 3D and multi-camera 2D applications, often as one-time tasks, and the time and cost of development is reasonable. This allows users to configure more complex applications in a very cost effective way. In addition to light sources, lenses, cameras, image processing software, monitors, etc., machine vision systems are mainly machines [optical accessories], which are characterized by excellent performance, low power consumption, intelligent control, long service life and high reliability requirements. In view of this, the industrial control machine is generally selected, and the commercial machine is generally not considered. Generally, the specific requirements for the controller (IPC) are as follows: 1. Optical accessories (IPCs) require long-term work and high reliability requirements to reduce post-maintenance costs; 2. high precision YVO4 laser crystal are installed in the terminal system. The terminal system is usually placed in the workshop, and has an automatic conveying system, which is greatly affected by harsh environments such as vibration and dust. 3. The amount of data processed by the operation is large or small, the CPU performance is high or low, and the matching can be performed. The [optical accessories] (IPC) can be flexibly configured according to the project conditions to achieve an ideal price/performance ratio; 4. Because it needs to expand some peripheral devices such as network card, motion control card, digital card, PLC control device, COM port, multi-PCI slot, multi-PCIE slot is a must.

Optical lens selection and construction

March 18, 2019 by by56014904  

I believe that many users are very confused when they first come into contact with machine vision, how to match their project requirements with the many parameters of the visual system. Today, Conne Smart mainly explains how to convert project requirements into Parameter requirements for the vision system. The general vision system includes optical lens, large size YVO4 laser crystal, visual light source, image processing software, sensor, motion and control device, etc. Before the project inspection needs and selection, it is necessary to clarify the expected structure of the project (including installation). The environment, the number of workstations, the space available for installation), whether it is sporty, the accuracy of detection, the speed of detection, the language and tools of software development, whether or not to use third-party tools, etc., below, Connaught Smart began to explain in detail how to select, Primarily for the visual part, these requirements are refined and combined with parameters. The common selection order is optical lens->optical lens->visual light source->peripheral device... Area array camera / line array camera For still detection or general low speed detection, priority is given to area array cameras, and linear array cameras are considered for special applications such as large-format high-speed motion or roller motion; Resolution The resolution actually refers to the number of camera pixels, which is usually tens of thousands of pixels, but in the detection, it is not necessary to pursue too high pixels, the pixel height will bring the frame rate down, the image processing is slow When selecting, it can be selected according to the accuracy requirements of the project. The accuracy of the project occupies 1 pixel in the image as the basic requirement. The engineer with weaker software level can choose 3 pixels or more. Frame rate As far as possible, the static detection is selected, so that the cost of the whole project will be much lower, but the detection efficiency will be reduced. For the motion, the frame exposure camera is selected, and the exposure high precision YVO4 laser crystal will cause the image to be deformed. For the specific frame rate selection, High-speed cameras should not be blindly selected. Although the high-speed camera has a high frame rate, it generally requires externally enhanced light illumination. The high cost and image processing speed are also very stressful. It needs to be determined according to the relative motion speed, as long as it is within the detection area. It can capture the object to be measured, for example, to observe the field of view with a length of 1 meter. The object to be measured passes through the field of view at a speed of 10 m/s. It only needs 10-12 frames per second to capture the measured position. Things, but the same speed through the 0.1 meter field of view, you need a camera 100-120 frames / sec. color In the industrial visual inspection, we generally recommend the use of black and white cameras, because software processing is generally converted to grayscale data for processing, and industrial color cameras are converted by Bayer algorithm, and there are certain colors with real colors. gap; Chip type, size and pixel size As far as the current industry situation is concerned, for high image quality requirements or poor ambient illumination, it is recommended to use a CCD sensor and select a camera with a larger pixel size. Of course, as the industry develops, the gap between CCD and CMOS is also Gradually, CMOS changes the resolution (ROI) more flexibly, the same resolution, and higher speed. In addition to the above parameters, before determining the wholesale YLF laser crystal, you can confirm whether the camera supports the development language or development tools required by the project, and whether it is compatible with third-party tools such as Halcon, VisionPro, and Labview.

The important role of optical lenses in Industry 4.0

March 15, 2019 by by56014904  

Under the background of the industry 4.0 era with intelligent manufacturing as the core, with the deepening of the 2025 strategy of China Manufacturing, the industrial intelligent robot industry market is exploding, and the zero order/multiple order/achromatic optical waveplate that plays the role of industrial robots is the mainstay of the industry! Then, what kind of "eyes" for optical lenses to industrial robots can greatly help industrial robots to make great strides in the future development of industrial automation and intelligent industry 4.0? As the "brain central nervous system" of industrial robots, artificial intelligence has been in a sustained and rapid development stage in the past few years. Many industrial robots have already possessed quite high intelligence characteristics, but they are far from the assumption of human beings. The degree of intelligence. The real realization of industrial automation requires highly intelligent industrial robots to replace part of human work. Obviously, if you want the robot to be a good substitute for human work, the first thing to do is to let them "see". Not only that, but many of the intelligent things we use in our daily lives also need to be seen, including intelligent drones and smart vacuum cleaners. Of course, industrial robots are no exception. When industrial robots have the ability to observe things, they can judge things very well, so that they can solve some problems intelligently and flexibly, and under the great influence of Industry 4.0, intelligent manufacturing The requirements of industrial robots are also getting higher and higher. Traditional robots that are programmed to perform a specific action will no longer be able to meet the needs of the manufacturing industry. Many times, we will need robots to have the functions of identification, analysis, processing, etc., which means that we need to install a pair of "eyes" for industrial machines to measure and judge instead of human eyes. Optical lenses are equivalent to industrial robots. The "eyes" are installed so that they can clearly and tirelessly see objects and perform the functions of human eye inspection, which is very important in highly automated mass production. The machine vision system can convert the ingested object into an image signal through an high precision optical waveplate product, that is, an image capturing device, and transmit it to a dedicated image processing system to obtain shape information of the object to be captured, and convert it into information according to pixel distribution, brightness, color, and the like. The signals are digitized, and then the image system performs various operations on these signals to extract the features of the target, and then controls the device actions in the field according to the result of the discrimination. In a nutshell, an optical lens is a computer that simulates a person's visual function. It has a part of the function of the human brain. It extracts information from the image of the objective object, processes it and understands it, and then uses it for actual detection in industrial intelligent manufacturing. Automated work such as measurement and control. Intelligent manufacturing combines industrial robots with high-quality laser grade optical waveplate, and optical lenses will be the next direction of artificial intelligence.

Three essential elements for optical lens selection

March 13, 2019 by by56014904  

The robot vision inspection system is characterized by increased flexibility and automation. In some dangerous working environments that are not suitable for manual work or where artificial vision is difficult to meet the requirements, machine vision is often used instead of manual detection. At the same time, in large-scale industrial production process, manual visual inspection is used to check product quality with low efficiency and low precision. Machine vision inspection methods can greatly improve production efficiency and automation of production. Moreover, machine vision is easy to implement information integration, and is the basic technology to realize computer integrated manufacturing. The product can be measured, guided, detected, and identified on a fast-producing production line, and the production task can be completed with quality and quantity. In a robotic vision system, it is important to get a high quality, manageable image. The success of the system must first ensure that the image quality is good and the features are obvious. The failure of a machine vision inspection project was mostly due to poor image quality and inconspicuous features. To ensure a good image, you must choose a suitable zero order/multiple order/achromatic optical waveplate. Basic elements of optical lens selection Contrast: Contrast is very important in smart high precision optical waveplate. The illumination task of machine vision applications is to create a large contrast between the features that need to be observed and the image features that need to be ignored, thus facilitating the differentiation of features. Contrast is defined as having a sufficient amount of grayscale difference between the feature and the area around it. Good lighting should be able to ensure that features that need to be detected stand out from other backgrounds. stability: Another way to test a good light source is to see if the light source is sensitive enough to the position of the part. When the light source is placed in a different area of ​​the camera's field of view, the resulting image should not change. A highly directional light source increases the likelihood of specular reflections in the highlighted area, which is detrimental to subsequent feature extraction. brightness: When choosing two high-quality laser grade optical waveplate, the better choice is the brighter one. When the light source is not bright enough, there may be three bad conditions. 1. The signal to noise ratio of the camera is not enough; 2, because the brightness of the light source is not enough; 3. The contrast of the image is not enough, and the possibility of noise appearing on the image also increases.

How optical lenses work

March 12, 2019 by by56014904  

In the application of machine vision in automation, the main goal is to obtain the geometric relationship (size, area, pose, etc.), logical relationship (with or without) of the target by image processing technology, and transmit the information to the robot or the actuator. Control the system and proceed to the next step. For many machine vision whites, after entering the machine vision industry, learn to master the basics, and then slowly start to do the actual project. After selecting the camera and light source, the choice of high precision ZnS optics is to be considered immediately. Good shots are more expensive, especially when you are just getting started, doing a good job of scratching the liver and buying new ones to pursue higher picture quality, pursuing a greater depth of field and pursuing a broader field of vision. It is appropriate to ignore the mechanical parameters of the optical lens in the visual application, which leads to various unreasonable problems in the subsequent construction of the visual system. Optical lenses are generally composed of two parts: an optical system and a mechanical device. The optical system consists of a number of lenses (or mirrors) to form the correct object image relationship, ensuring accurate and clear images. It is the core of the lens. The mechanical device includes components for fixing optical components (such as lens holder, aperture, etc.), wholesale large size optical grade sapphire optics adjustment mechanisms (such as aperture adjustment ring, focus ring, etc.), connection mechanisms (such as C, CS interface), and the like. In addition, there are some electronic mechanisms with auto-tuning, auto-focusing or sensing light intensity on the lens. For optical parameters related to optical lenses, we can consider the focal length f, aperture coefficient (relative aperture), image field of view, and aberrations (such as distortion) as internal parameters of the lens. Usually users build parameters that the vision system cares about, including field of view (FOV), resolution (Resolution), working distance (WD), and depth of field (DOF). In the machine vision industry, optical lenses are usually divided into zoom lenses, zoom lenses, telecentric lenses, high-precision or megapixel lenses. Of course, these classifications do not have strict boundaries. Each lens has fixed mechanical parameters, including lens mounting dimensions, screw aperture, interface size, weight, working distance, diameter, and length. In special cases, the visual application has limitations on the mounting size of the camera and the lens, so it is not possible to select a large-sized lens or to select a small-sized lens at will. Therefore, when selecting a lens, certain mechanical parameter objects are also considered in some cases. When the optical lens is working, the actual working distance is fixed, but the working distance of some custom LiF optics cannot be changed, such as telecentric lenses, microscopes, etc. Generally, the telecentric lens has a working distance of 40 mm, 65 mm, 110 mm, etc., and if it is not equal to the standard working distance, it cannot be clearly imaged. From experience, the longer the length of the lens, the greater the inertia generated during motion, and the weaker the vibration capability during static operation.

Factors to consider when choosing an optical camera

March 8, 2019 by by56014904  

A good optical camera should have high precision, high definition, good color reproduction, low noise, etc., and can be programmed to control the exposure time, brightness, gain and other parameters through the computer, and the image window is steplessly scaled with an external trigger input. Features such as flash control output. Microvision, a well-known BIBO nonlinear crystal manufacturer and seller in China, combines years of R&D and production experience with customer needs, and carefully selects the precautions and necessary parameters when selecting an optical camera, so that general customers can make reasonable choices. Image processing, the object of processing is the image from the optical camera, so the choice of optical camera, industrial camera, industrial camera is an indispensable and very important step. When choosing an optical camera, the first thing to understand is your own detection task, whether it is static or dynamic, how often is the photo, whether it is defect detection or size measurement or positioning, the size of the product (field of view), and the need How much accuracy is achieved, the performance of the software used, the on-site environmental conditions, and other special requirements. If it is a dynamic photo, what is the speed of the movement, choose a small exposure time according to the speed of movement and whether the camera needs to be scanned progressively; and the camera's rate (high camera frequency) is related to the pixel, usually the higher the resolution, the lower the rate. The optical frequencies of different brands of optical cameras are slightly different; the resolution of the customizable large size optical prism can be calculated according to the different inspection tasks, the size of the product, the resolution required, and the performance of the software used; the temperature of the field environment is to be considered. Choose a different optical camera for humidity, interference, and lighting conditions. Optical camera / line camera For stationary detection or general low-speed detection, optical cameras are preferred, and linear array cameras are considered for special applications such as large-format high-speed motion or roller motion; Resolution The resolution actually refers to the number of camera pixels, which is usually tens of thousands of pixels, but in the detection, it is not necessary to pursue too high pixels, the pixel height will bring the frame rate down, the image processing is slow When selecting, it can be selected according to the accuracy requirements of the project. The accuracy of the project occupies 1 pixel in the image as the basic requirement. The engineer with weaker software level can choose 3 pixels or more. Frame rate Select the static detection as much as possible, so the cost of the whole project will be reduced a lot, but it will bring about a decline in detection efficiency. For those who have motion, use a frame exposure camera, and the line exposure camera will cause the image to be distorted. For the specific frame rate selection, High-speed cameras should be chosen blindly. Although high-speed cameras have high frame rates, they generally require externally enhanced light illumination. The high cost and image processing speed are also very stressful. It needs to be determined according to the relative motion speed, as long as it is within the detection area. The object to be measured can be captured, for example, the field of view with a length of 1 meter is observed, and the object to be measured passes through the field of view at a speed of 10 m/s, and the object to be measured can be completely captured at a speed of 10-12 frames per second. However, the same speed through the 0.1 meter field of view, you need a camera 100-120 frames / sec. color In the industrial visual inspection, we generally recommend the use of black and white cameras, because software processing is generally converted to grayscale data for processing, and industrial color cameras are converted by Bayer algorithm, and there are certain colors with real colors. gap; Chip type, size and pixel size As far as the current industry status is concerned, for the case of high image quality requirements or poor ambient illumination, it is recommended to use a CCD sensor and select an customized large size and special shape CaF2 optics with a larger pixel size. Of course, as the industry develops, the gap between CCD and CMOS is also In the gradual reduction, CMOS changes the resolution (ROI) more flexible, the same resolution, and higher speed.

Selection of optical accessories in optical vision

March 6, 2019 by by56014904  

Industrial cameras, image processing software and optical vision sources are important in optical vision systems, but procurement high efficiency thin-film multilayer optical filter are also an indispensable component of the system, directly affecting the quality of imaging, affecting the implementation and effectiveness of the algorithm. Therefore, its role is also indispensable. If the system wants to fully play its functions, the optical components must be able to meet the requirements. Choosing the right optical accessory is an important step in reducing the cost of the optical vision system and improving system stability. When choosing a lens for a vision system, you should analyze the following factors to determine the appropriate lens for your specific application. Distance constraint The space required for automated purchase high purity optical grade sapphire optics systems and assembly lines varies widely, and different system applications require different installation spaces. The so-called working distance refers to the distance between the object and the front end of the industrial camera lens when the image is in the focal length range. It limits the space required for the vision system and the devices that work with the vision system. There are some applications where the working distance is very flexible, and both near-focus lenses and long working distance video microscope heads can be used. For other applications, the working distance may be only a few centimeters or even a few millimeters. Therefore, in the limit range, it is necessary to refocus through the lens to change the working distance. When the product area of ​​interest and the product line may change during the inspection process, this requires that the vision system and visual components must be flexible enough to be adjusted according to the working distance. When selecting a lens, consider changing the working distance when the object space (the distance between the object and the lens) is limited and the image space (the distance between the lens and the image) is changed. The performance of an optical system depends on the degree of image blur allowed, which may result from the positional drift of the object plane or image plane. Depth of field is the acceptable blurring range caused by the movement of the detector. It depends on the F-number of the work and can be used to measure the concentrating power of the lens. The F number increases as the lens aperture decreases. Reducing the lens aperture means increasing the F-number, which increases the depth of field of the system, but it reduces the amount of light entering the sensor, so it is necessary to increase the level of illumination to compensate. It is important to note that you should not confuse telecentric lenses with large depth of field lenses. The telecentric lens allows the optical vision system to control the magnification and eliminate potential errors, so objects of the same size are consistent in height on the photo. Usually telecentric lenses have a working range that creates a limited depth of field at each working distance. Object characteristics Before selecting an optical accessory for an procurement optical lens manufacturer/supplier system, the object characteristics and analysis environment must be determined. This viewable area is called the unobstructed field of view (FOV) and the camera chip size is very important to determine the optical magnification required for the FOV. Optical magnification is quite important for camera-matched lenses of different size chips, however, lens magnification and microscope magnification are different. The latter is determined by the length of the light pipe and the actual focal length of the objective lens, while the optical component magnification is mainly considered to be the size of the camera chip. Therefore, the characteristics of the object are also important. The ability of the lens to recognize a line or a point of a specific width under specified lighting conditions determines its resolution. The resolution determines the sharpness of the image.

Progress in crystal optical anisotropy

March 4, 2019 by by56014904  

Recently, the Dai Ning team of the National Nanoscience Center and Liu Mengkun, a professor at Stony Brook University in the United States, collaborated to overcome the characterization difficulties caused by the limited size of van der Waals crystals by using near-field optical technology, and successfully measured the dielectric tensor of boron nitride and molybdenum disulfide. New purchase large size laser grade MgF2 optics anisotropy characterization methods have been developed. New two-dimensional materials such as graphene, boron nitride and transition metal chalcogenide belong to van der Waals crystals, each of which has excellent mechanical, electrical and optical properties. It is the basic unit for constructing functionally controlled van der Waals heterojunctions and is also the next generation. The base material for high performance optoelectronic devices. Van der Waals crystals have a layered structure, which is bonded by strong covalent bond interactions within the layer and combined by weak van der Waals forces between the layers. This layered structure determines the natural anisotropy of various physical properties of van der Waals crystals, where optical anisotropy is critical for the design and optimization of new optoelectronic devices. Due to the current problem of preparing high-quality van der Waals single crystals, traditional sale of custom optical prism assemblies anisotropy characterization methods based on far-field beam reflection (such as end-reflection and ellipsometry) are difficult to accurately measure the optical anisotropy of van der Waals microcrystals. The Dai Qing team first demonstrated the existence of ordinary (TE) and extraordinary waveguide (TM) modes in anisotropic van der Waals nanosheets, and the in-plane wavevectors of these two modes are in-plane and out-of-plane with van der Waals crystals, respectively. Dielectric constant correlation; subsequently, the TE and TM waveguide modes were excited in van der Waals nanosheets using a scattering-type scanning near-field optical microscope (s-SNOM), and real-field near-field optical imaging was performed; finally, by the real space near The Fourier analysis of the field optical image was used to obtain the optical anisotropy of the measured purchasing laser grade optical prism. The above method overcomes the limitation of the sample size by the traditional characterization means, and can accurately characterize the optical anisotropy of the uniaxial and biaxial van der Waals crystal materials. The method is equally applicable to the direct characterization of the optical anisotropy of a few layers or even a single layer of van der Waals crystals by optimizing the design of the substrate material.