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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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How "Micro Industrial Camera" solves the problem of heating of industrial cameras 2026-08-07 .gtr-container-d7f9h2 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333333; line-height: 1.6; padding: 20px; max-width: 960px; margin: 0 auto; box-sizing: border-box; } .gtr-container-d7f9h2 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; } .gtr-container-d7f9h2 .gtr-heading-main { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 1.5em; margin-bottom: 1em; text-align: left; } .gtr-container-d7f9h2 .gtr-heading-sub { font-size: 16px; font-weight: bold; color: #0000FF; margin-top: 1.2em; margin-bottom: 0.8em; text-align: left; } .gtr-container-d7f9h2 .gtr-solution-list { list-style: none !important; padding-left: 0; margin-top: 1em; margin-bottom: 1.5em; } .gtr-container-d7f9h2 .gtr-solution-list li { position: relative !important; padding-left: 25px; margin-bottom: 0.8em; font-size: 14px; text-align: left; } .gtr-container-d7f9h2 .gtr-solution-list li::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; color: #0000FF; font-weight: bold; width: 20px; text-align: right; } @media (min-width: 768px) { .gtr-container-d7f9h2 { padding: 30px; } .gtr-container-d7f9h2 .gtr-heading-main { font-size: 20px; margin-top: 2em; margin-bottom: 1.2em; } .gtr-container-d7f9h2 .gtr-heading-sub { font-size: 18px; margin-top: 1.5em; margin-bottom: 1em; } } Due to the compact size of the industrial camera itself, the surface area is relatively small, and it has a closed dust-proof design. Industrial cameras will become hot after being used for a long time. Many novice friends do not know how to solve this problem when they encounter it. Below, Dior Technology, a Shenzhen industrial camera manufacturer, will show you how to solve the problem of industrial camera heating. How to solve the problem of heating of industrial cameras How to solve the problem of heating of industrial cameras The camera has a thermal conductive design inside, and most of the heat will be conducted to the bottom shell of the camera. Mounting the camera bottom shell on a metal bracket will have a good heat dissipation effect; The camera is only for indoor use; if the camera is sealed in a small space (less than 2 cubic decimeters), please carefully consider the heat dissipation of the camera or contact our company; After the lens is installed, the lens will dissipate part of the heat from the camera; DC 12V power supply has lower power consumption than POE power supply, which can reduce the temperature rise of the camera. How to solve the problem of heating of industrial cameras The above is the way to deal with the heating problem of industrial cameras introduced by the editor of Dior Technology. In addition, using water cooling for heat dissipation is also a good way. The advantages of water-cooled heat dissipation are quiet, stable, efficient, and green. The key is to transfer the heat from the core area to the outside for heat dissipation, so that the temperature in the core area is lower, that is, the temperature is more balanced. It can ensure efficient operation and is a more suitable heat dissipation method for industrial cameras.
A brief discussion on the application and advantages of machine vision technology 2026-08-07 .gtr-container-mv123 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #222222; line-height: 1.6; padding: 16px; max-width: 100%; box-sizing: border-box; margin: 0 auto; } .gtr-container-mv123 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; } .gtr-container-mv123__intro-paragraph, .gtr-container-mv123__conclusion-paragraph { margin-bottom: 2em; padding: 8px 0; } .gtr-container-mv123__section-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 2em; margin-bottom: 1em; padding-bottom: 8px; border-bottom: 2px solid #E0E0FF; text-align: left; } .gtr-container-mv123__subsection-title { font-size: 16px; font-weight: bold; color: #0000CC; margin-top: 1.5em; margin-bottom: 0.8em; text-align: left; } .gtr-container-mv123__advantage-list { list-style: none !important; padding-left: 25px !important; margin-top: 1em; margin-bottom: 2em; } .gtr-container-mv123__advantage-list li { position: relative; margin-bottom: 1em; padding-left: 25px; text-align: left; } .gtr-container-mv123__advantage-list li::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; font-weight: bold; color: #0000FF; width: 20px; text-align: right; } .gtr-container-mv123__advantage-item-title { font-weight: bold; color: #0000CC; display: inline; margin-right: 5px; } .gtr-container-mv123__advantage-list li p { display: inline; margin: 0; } @media (min-width: 768px) { .gtr-container-mv123 { padding: 24px 40px; max-width: 960px; } .gtr-container-mv123__section-title { font-size: 20px; margin-top: 2.5em; margin-bottom: 1.2em; } .gtr-container-mv123__subsection-title { font-size: 18px; margin-top: 2em; margin-bottom: 1em; } .gtr-container-mv123__advantage-list { padding-left: 30px !important; } .gtr-container-mv123__advantage-list li { padding-left: 30px; } } Many people may have heard of machine vision technology, but do not know much about it. Machine vision systems refer to the use of machines to replace human eyes to make various measurements and judgments. Machine vision is a very important research field in the fields of engineering and science. It is a comprehensive subject involving many fields such as optics, mechanics, computers, pattern recognition, image processing, artificial intelligence, signal processing, and optoelectronic integration. Below, the editor of Dior Technology will introduce to you the application and advantages of machine vision technology, hoping to help everyone better understand the machine vision system. 1. Application scope of machine vision technology: (1) In terms of industrial testing: In recent decades, machine vision technology has been widely used in industrial inspection due to its outstanding advantages such as non-contact, fast speed, appropriate accuracy, and strong on-site anti-interference ability, and has achieved huge economic and social benefits. (2) Applications in the field of traffic monitoring: In the field of intelligent traffic monitoring, by placing cameras at important intersections, you can use the camera's rapid photo-taking function to automatically identify and store license plates that violate traffic regulations, drive against traffic, etc., so that relevant staff can view them. (3) Application in medicine: In the medical field, machine vision is mainly used for medical auxiliary diagnosis. First, images recorded by human body examinations such as nuclear magnetic resonance, ultrasound, laser, X-ray, and gamma ray are collected, and then digital image processing technology and information fusion technology are used to analyze, describe and identify these medical images. Finally, relevant information is obtained, which plays an important role in assisting doctors in diagnosing the size, shape and abnormality of human disease sources, and providing effective treatment. Different medical imaging equipment obtains biological tissue images with different characteristics. For example, X-rays reflect bone tissue, and MRI images reflect organic tissue images. Doctors often need to consider the relationship between bone and organic tissue, so they need to use digital image processing technology to appropriately superimpose the two images to facilitate medical analysis. (4) Application in the field of bridge inspection: The detection method based on machine vision uses a CCD camera to obtain the apparent picture of the bridge, and then uses computer processing to automatically identify the crack image, separate it from the background, and then calculate the crack parameters. It has the advantages of convenience, intuitiveness, accuracy, non-contact, good reproducibility, strong adaptability, high flexibility, and low cost. It can liberate labor and eliminate human interference, and has good application prospects. Bridge detection technology based on machine vision mainly includes three parts: acquisition technology of bridge appearance images, image-based automatic crack recognition theory and algorithm, and image-based quantitative measurement method of crack width and other disease extent. 2. Advantages of machine vision technology: Efficiency: The rapid development of industrial automation has greatly improved production efficiency, which has put forward higher requirements for detection efficiency. Machine vision can detect products faster than humans. Especially when detecting high-speed moving objects on the production line, machines can improve detection efficiency, and the speed can even reach 10-20 times that of humans. Objectivity: Manual inspection will inevitably cause fatigue. At the same time, there is a fatal flaw, which is the subjectivity brought by emotions. The inspection results will change according to the mood of the inspector; while the machine has no emotions, and the inspection results it brings are naturally more objective and reliable. Accuracy: The machine has obvious advantages in terms of accuracy. Its accuracy can reach one thousandth of an inch. As long as there is no difference in parameter settings, multiple machines with the same configuration can maintain the same accuracy. Repeatability: The machine can complete the inspection work in the same way again and again without getting tired. Environment: Machine vision converts the target into an image signal through an image capture device and transmits it to a dedicated image processing system. During the process of measuring the workpiece, there is no need to contact the workpiece, so it can adapt to harsh and dangerous production environments and will not cause contact damage to the workpiece. Information integration: Machine vision can use multi-station inspection methods to complete the measurement of multiple technical parameters such as the outline, size, appearance defects, and product height of the product to be inspected at one time. Cost: The initial investment in machine vision will be relatively large, but it is a one-time investment and long-term output. As machine vision develops more and more rapidly, the price will gradually decrease. Digitization: The measurement data generated by machine vision during the work process can be copied independently or copied out through network connection, which facilitates statistics and analysis of the production process. At the same time, you can also export specified data and produce reports after detection, without the need to manually add them one by one, which is undoubtedly much better than manual detection data statistics. The above is an introduction to "the application and advantages of machine vision technology". Generally speaking, compared with manual inspection, machine vision has the characteristics of automation, objectivity, non-contact and high precision. Especially in the field of industrial production, machine vision emphasizes the accuracy and speed of production, as well as reliability in industrial field environments. It has great application value in repetitive and mechanical work, and is an important step for enterprises to realize automated production.
The difference between area array cameras and line array cameras 2026-08-07 .gtr-container-cam123 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333333; line-height: 1.6; padding: 16px; box-sizing: border-box; max-width: 100%; overflow-x: hidden; } .gtr-container-cam123 .gtr-section-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 24px; margin-bottom: 12px; padding-bottom: 8px; border-bottom: 1px solid #D0D0F0; text-align: left; } .gtr-container-cam123 .gtr-section-title:first-of-type { margin-top: 0; } .gtr-container-cam123 .gtr-content-block { margin-bottom: 24px; } .gtr-container-cam123 p { font-size: 14px; margin-bottom: 12px; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-cam123 p:last-child { margin-bottom: 0; } @media (min-width: 768px) { .gtr-container-cam123 { padding: 24px 32px; max-width: 960px; margin-left: auto; margin-right: auto; } .gtr-container-cam123 .gtr-section-title { font-size: 20px; margin-top: 32px; margin-bottom: 16px; } .gtr-container-cam123 .gtr-content-block { margin-bottom: 32px; } .gtr-container-cam123 p { font-size: 15px; margin-bottom: 14px; } } 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 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, and 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.
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