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China Shenzhen City Haozhou Technology Co., Ltd.
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Shenzhen City Haozhou Technology Co., Ltd.
Shenzhen Haozhou Technology Co., Ltd. was established in 2014. It is a high-tech company specializing in R&D, design, production, sales, CMOS camera module, USB camera module, analog camera module, endoscope camera module, sensor chip and other high-quality camera modules technology enterprise. Provide a full range of processes, SMT, modules, assembly, packaging and other one-stop services. Passed IS09001 CE ROHS quality system certification. Products are widely used in nearly a hundred fields such as face recognition, biometrics, artificial intelligence, machine vision, drones, self-service terminals, smart homes, security monitoring, and medical applications.Warmly welcome OEM and ODM. We can design according to the drawings provided by customers. All of our products have a 2-year warranty, we are willing to provide customers with products that carry corporate culture and convey brand ideas to end users, we believe that success is built on a solid foundation and commitment to delivery. haozhou provides high quality camera modules with professional OEM design and manufacturing services to customers worldwide. We are carrying OmniVision, Sony, Samsung, Hynix, GalaxyCore... The main application areas: AI VR mobile phone, digital still camera, laptop, DV, PDA/handheld, toy, PC camera, security camera, automotive camera, tablet pc, visual doorbell, medical system, smart home, industrial image, recognition system, fingerprint identification system ...
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Selection of light sources in machine vision systems 2026-09-05 .gtr-container-f7e9d2 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 15px; box-sizing: border-box; } .gtr-container-f7e9d2 p { font-size: 14px; margin-bottom: 1em; text-align: left; } .gtr-container-f7e9d2 h2 { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 1.5em; margin-bottom: 0.8em; text-align: left; } .gtr-container-f7e9d2 h3 { font-size: 16px; font-weight: bold; color: #0000FF; margin-top: 1.2em; margin-bottom: 0.6em; text-align: left; } .gtr-container-f7e9d2 ul { list-style: none !important; padding-left: 20px !important; margin-bottom: 1em; } .gtr-container-f7e9d2 ul li { position: relative !important; padding-left: 15px !important; margin-bottom: 0.5em !important; font-size: 14px !important; text-align: left !important; list-style: none !important; } .gtr-container-f7e9d2 ul li::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF !important; font-weight: bold !important; font-size: 1.2em !important; line-height: 1 !important; } .gtr-container-f7e9d2 strong { color: #0000FF; } @media (min-width: 768px) { .gtr-container-f7e9d2 { padding: 20px 40px; } } Light source is one of the important components in the machine vision system. It directly affects the quality of input data by at least 30% of the application effect. Therefore, the choice of light source for machine vision systems is very important. The purpose of using a light source is to distinguish the measured object from the background as clearly as possible to obtain a high-quality, high-contrast image; to 'freeze' the moving target on the image; to enhance the edge clarity of the target to be measured; to eliminate shadows; to offset noise and increase target brightness; to overcome the interference of ambient light; and to ensure the stability of the image. Machine vision has three major technologies: imaging technology, processing technology, and motion control technology. Imaging technology is inseparable from light sources. The selection and performance of light sources directly affect the success or failure of the system, affecting processing accuracy and speed. Therefore, the light source plays a decisive role in the machine vision system. Through appropriate light source lighting design, the target information and background information of the image can be optimally separated, which can greatly reduce the difficulty of segmentation and identification of image processing algorithms, while improving the positioning and measurement accuracy of the system, thereby improving the reliability and comprehensive performance of the system. On the contrary, if the light source is improperly designed, it will lead to half the effort in image processing algorithm design and imaging system design. Therefore, the success or failure of the light source design is the primary factor that determines the success or failure of the visual system. There are three main types of light sources used by vision systems: 1. High-frequency fluorescent lamps: The fluorescent lamps used in our daily life have a service life of about 1500-3000 hours; Advantages: good diffusion, suitable for uniform irradiation of large areas; Disadvantages: slow response speed, dim brightness. 2. Fiber optic halogen lamp: It is an effective combination of halogen lamp and fiber optic conduit. The fiber optic conduit transfers the strong light generated by the halogen bulb to the object under test for illumination. The service life is about 1,000 hours; Advantages: high brightness; Disadvantages: Slow response speed, almost no changes in brightness and color temperature. 3. LED (Light Emitting Diode) light source: It is a way of illuminating the object being tested by combining multiple LED lights in a specific shape. This is a commonly used lighting method with a wide range of applications and a service life of about 10,000-30,000 hours; Advantages: Multiple LEDs can be used to achieve high brightness, and different shapes can be combined at the same time; the response speed is fast, and the wavelength can be selected according to the purpose. Disadvantages: The temperature resistance of LED chips is relatively weak and the power consumption is relatively large. Light source comparison chart In comprehensive comparison, LED light sources have been widely recognized by the industry for their unique technical advantages in machine vision systems. LED light sources have the advantages of long service life, adjustable brightness, low temperature, balance, stability, no flicker, no shadows, consistent brightness and color temperature, etc., which meet the technical requirements of machine vision users for high quality and high precision; in addition, special designs can be made according to customer needs. It is for this reason that LED light sources have brought huge development space to the industry.
The difference between area array cameras and line array cameras 2026-09-05 .gtr-container-f7e9d2 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 20px; max-width: 960px; margin: 0 auto; } .gtr-container-f7e9d2 p { font-size: 14px; margin-bottom: 1em; text-align: left; } .gtr-container-f7e9d2 h2 { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 2em; margin-bottom: 1em; border-bottom: 2px solid #e0e0ff; padding-bottom: 5px; } .gtr-container-f7e9d2 h3 { font-size: 16px; font-weight: bold; color: #0000FF; margin-top: 1.5em; margin-bottom: 0.8em; } .gtr-container-f7e9d2 ul { list-style: none !important; padding-left: 20px; margin-bottom: 1em; } .gtr-container-f7e9d2 ul li { position: relative !important; padding-left: 20px !important; margin-bottom: 0.5em !important; font-size: 14px !important; list-style: none !important; } .gtr-container-f7e9d2 ul li::before { content: "•" !important; color: #0000FF !important; position: absolute !important; left: 0 !important; font-size: 1.2em !important; line-height: 1 !important; } .gtr-container-f7e9d2 strong { color: #0000FF; } @media (min-width: 768px) { .gtr-container-f7e9d2 { padding: 30px; } } In the practical application of industrial cameras, we often see the terms area array camera and line array camera. Many people cannot distinguish the concepts and are often at a loss when choosing. Next, the editor of TEO will take you to understand the structural characteristics and application details between the two. industrial camera 1. Photosensitive unit The photosensitive units (pixels) are arranged in a two-dimensional array. Each photosensitive unit in the array corresponds to a pixel. One surface of the photographed target is imaged. The target and the camera can be stationary or relatively moving. Such a camera is called an area array camera. The photosensitive unit arrangement is one-dimensional. Each exposure only images a line on the target to form a line of images. With the relative movement between the target object and the camera, the camera continuously exposes and finally forms a two-dimensional image. Such a camera is called a line array camera. 2. Application fields The number of pixels scanned by a line array camera per line can range from 512 to 12,000, and the exposure of each line can also be independent of the target's movement speed, so it is also suitable for situations where the target's movement speed changes. Such as: image processing in the fields of industry, medical care, scientific research and security, etc. Area array cameras are suitable for situations where the target object has a large format or the defect size is small, such as: printing quality inspection, PCB board inspection, shape, size, position, and even temperature measurement. Due to production technology constraints, the area of ​​a single area array CCD is difficult to meet the field of view requirements for general industrial measurement. The advantage of the linear array CCD is high resolution, but to use the linear array CCD to obtain a two-dimensional image, it must be equipped with scanning motion. In addition, in order to determine the corresponding position of each pixel point in the image on the device under test, it must also be equipped with devices such as gratings to record the coordinates of each scanning line of the linear array CCD. Generally speaking, these two requirements lead to the following shortcomings in using linear array CCDs to acquire images: long image acquisition time and low measurement efficiency; due to the existence of scanning motion and corresponding position feedback links, system complexity and cost are increased; image accuracy may be reduced by the accuracy of scanning motion, ultimately affecting measurement accuracy. The solution of linear array CCD plus scanning motion to obtain images is still widely used, especially when a large field of view and high image resolution are required, it cannot even be replaced by an area array CCD. However, high resolution alone does not guarantee high image recognition accuracy. In particular, although the image obtained by the linear array CCD has high resolution, its image is more special than the area array CCD image due to the influence of the scanning motion accuracy. Therefore, when image recognition, we must not only make full use of the advantage of high resolution, but also algorithmically overcome the influence of scanning motion so that errors in mechanical transmission do not directly affect the final image recognition accuracy.
The important role of machine vision inspection equipment in the manufacturing industry 2026-09-05 .gtr-container-xyz123 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 15px; box-sizing: border-box; } .gtr-container-xyz123 p { margin-bottom: 1em; text-align: left; font-size: 14px; } .gtr-container-xyz123 h2 { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 1.5em; margin-bottom: 1em; text-align: left; } .gtr-container-xyz123 ul { list-style: none !important; padding-left: 20px !important; margin-bottom: 1em; } .gtr-container-xyz123 ul li { position: relative !important; padding-left: 15px !important; margin-bottom: 0.5em !important; font-size: 14px !important; text-align: left !important; list-style: none !important; } .gtr-container-xyz123 ul li::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF !important; font-size: 1.2em !important; line-height: 1 !important; } @media (min-width: 768px) { .gtr-container-xyz123 { padding: 25px; } .gtr-container-xyz123 h2 { font-size: 20px; } } Visual inspection equipment can replace the human eye for accurate measurement and discrimination. Not only does it work faster, but it also has greater accuracy. It can better consider the requirements of today's industrial production, reasonably control product costs, and improve the profitability of manufacturing companies. It is deeply favored by customers in various manufacturing industries. Many customers have a certain understanding of machine vision inspection equipment, but are not very clear about its specific functions. The editor of TEO Dior Technology will explain it in detail below. The important role of machine vision inspection equipment in the manufacturing industry PCB electronic equipment is an indispensable equipment for people's daily life and industrial production. PCB is the most critical plasmid carrier in electronic information technology products. In today's PCB manufacturing industry, which has a relatively complete development trend, the manufacturing situation is severe. The requirements for the comprehensive production and manufacturing capabilities of performance equipment are getting higher and higher, and the requirements for PCB production and manufacturing processes are also getting higher and stricter. Machine vision inspection technology is widely used in the entire process of PCB production and manufacturing. In screen AOI, PCBAI, PCBAVI, inner multi-layer AXI, PCB ink printing, fully automatic exposure machines, SPI, punch presses and other equipment, the application of machine vision precision positioning, detection and other visualization technologies can maintain fast and accurate quality inspection box process management, improve product quality and productivity, and is a reliable guarantee for improving equipment performance. SMT processing SMT manufacturing is another important electronic information industry after PCB, and is the birthplace of my country's machine vision equipment manufacturers. The practical application of electronic components, the densification of component chips, and the complexity and diversification of component pin arrays have all set higher requirements for contemporary SMT equipment. Based on the application of machine vision precision positioning, precision measurement and detection technology, the productivity of SMT equipment is improved, the high precision of SMT is improved, the reliability of continuous work is improved, and the equipment upgrade of the SMT manufacturing industry is promoted. Semiconductor materials. Semiconductor technology is the cornerstone of the modern big data industry and the origin of machine vision technology. In the 1990s, Braimer Semiconductor Materials Co., Ltd. applied image technology to the semiconductor industry and gradually transformed its development trend into today's machine vision technology, becoming the core technology of semiconductor material processing technology. The above is an introduction to "the important role of machine vision inspection equipment in manufacturing leaves". Dior Technology's products cover industrial and medical machine vision systems and products, mainly including: a full range of industrial cameras, special cameras for industrial image measurement, special crosshair cameras for laser cutting, special image collectors for microscopic imaging, ultra-high-definition pathological microscopic imaging conference systems, pathological microscopic image analysis and remote consultation systems. Products are widely used in scientific research institutes, hospitals and schools, factories and mining enterprises, cultural relic appraisal units, criminal investigation and justice, intelligent transportation and other industries.
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