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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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A brief analysis of the application of machine vision in laser marking 2026-08-27 .gtr-container-f7e9d2 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 20px; box-sizing: border-box; } .gtr-container-f7e9d2 p { font-size: 14px; margin-bottom: 1em; text-align: left; } .gtr-container-f7e9d2 img { display: block; max-width: 100%; height: auto; margin: 20px auto; } @media (min-width: 768px) { .gtr-container-f7e9d2 { padding: 30px 50px; } } Machine vision usually refers to the process in which a machine automatically obtains an image of interest, then processes the image, and takes further "actions" after obtaining abstract information. In layman's terms, machine vision is to give machines the ability to "see", so that the machine can recognize and understand what it wants to see, and determine the location of the target it sees. Through cameras and computers, it frees the human eye and allows the machine to automatically measure, identify, and judge targets. This TEO editor mainly introduces the application of machine vision in laser marking systems. With the advancement of production technology, laser marking machines are facing new requirements and challenges. The area of ​​the devices that need to be marked is getting smaller and smaller, and the accuracy requirements are getting higher and higher. The representative one is IC (integrated circuit) technology in microelectronics technology. Its integration level is getting higher and higher, the speed is getting faster, and the volume is getting smaller and smaller. SMD devices have gradually developed into mainstream IC products, and their appearance is characterized by miniaturization. The application of laser marking machines in the semiconductor industry is mainly for marking the surface of IC chips, marking the manufacturer, model, production batch and other information on the surface of the IC chip. The marking machines on the market now usually mark fixed areas, and the equipment is basically not equipped with a visual observation system, let alone a fine-tuning function during the marking process. After the computer sets the marking content, the device needs to be placed within the marking area, and sometimes manual adjustment is required. This method has very low accuracy and is only suitable for applications in industries that are not sensitive to mark position deviations, such as the production number of beverage bottles, the number of light rail tickets, and personalized markings on the back cover of mobile phones. 1578360993863696.png After using machine vision, it can not only clearly mark information on the chip surface, but also has dynamic adaptability, and can automatically correct the chip orientation error to ensure marking accuracy. In addition, the application of machine vision in laser marking equipment can not only improve the quality of the equipment, but also increase the marking speed to meet the needs of the rapid development of the modern semiconductor industry. Machine vision is applied to production equipment and is one of the key technologies for automated production. It can improve production efficiency, improve product quality, and reduce production costs. At present, machine vision is developing rapidly. With the progress of society, machine vision will gradually develop and improve and be applied to more fields.
Six technical parameters of industrial cameras 2026-08-27 .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; font-size: 14px; } .gtr-container-xyz123 p { margin-bottom: 1em; text-align: left; font-size: 14px; } .gtr-container-xyz123 .gtr-heading { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 1.5em; margin-bottom: 0.8em; 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; text-align: left; font-size: 14px; list-style: none !important; } .gtr-container-xyz123 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-xyz123 ol { list-style: none !important; padding-left: 25px !important; margin-bottom: 1em; counter-reset: list-item; } .gtr-container-xyz123 ol li { position: relative !important; padding-left: 25px !important; margin-bottom: 0.5em !important; text-align: left; font-size: 14px; list-style: none !important; } .gtr-container-xyz123 ol li::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; color: #0000FF !important; font-weight: bold !important; width: 20px !important; text-align: right !important; } .gtr-container-xyz123 ol li { counter-increment: none; list-style: none !important; } @media (min-width: 768px) { .gtr-container-xyz123 { padding: 25px 50px; } } Industrial cameras refer to camera equipment that can be used stably and efficiently in industrial sites. They have the requirements to adapt to complex industrial environments and can work stably for a long time. And it is also a video image acquisition device used in industrial sites, which can directly store images on the hard disk. Compared with ordinary cameras, industrial cameras are comparable in resolution, frame rate, light requirements, exposure methods, etc. The main component is a CCD photosensitive chip. Let’s take a look at the six technical parameters of industrial cameras: Industrial camera Resolution: The number of pixels (Pixels) of each image collected by the camera. For digital industrial cameras, it generally corresponds directly to the number of pixels of the photoelectric sensor. For analog cameras, it depends on the video format. The PAL system is 768*576 and the NTSC system is 640*480. Pixel Depth: That is, the number of bits per pixel of data, generally 8Bit is commonly used, and for digital industrial cameras there are generally 10Bit, 12Bit, etc. Maximum Frame Rate/Line Rate: The rate at which a camera collects and transmits images is generally the number of frames collected per second (Frames/Sec.) for an area array camera, and the number of lines collected per second (Hz) for a line array camera. Pixel Size: The pixel size and the number of pixels (resolution) jointly determine the size of the camera target surface. At present, the pixel size of digital industrial cameras is generally 3μm-10μm. Generally, the smaller the pixel size, the more difficult it is to manufacture and the harder it is to improve the image quality. Exposure and Shutter speed: For line array cameras, all are line-by-line exposure methods. You can choose a fixed line frequency and external trigger synchronization acquisition method. The exposure time can be consistent with the line period, or you can set a fixed time; area array industrial cameras have several common methods such as frame exposure, field exposure, and rolling line exposure. Digital industrial cameras generally provide the function of external trigger acquisition. The shutter speed can generally reach 10 microseconds, and high-speed industrial cameras can be even faster. Spectral response characteristics (Spectral Range): It refers to the sensitivity characteristics of the pixel sensor to different light waves. The general response range is 350nm-1000nm. Some cameras add a filter in front of the target to filter out infrared light. If the system needs to be sensitive to infrared light, the filter can be removed.
The difference between industrial cameras and civilian cameras 2026-08-26 .gtr-container-xyz123 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 20px; box-sizing: border-box; } .gtr-container-xyz123 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; } .gtr-container-xyz123 ul { list-style: none !important; padding-left: 25px !important; margin-bottom: 1em; } .gtr-container-xyz123 ul li { position: relative !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; color: #0000FF !important; position: absolute !important; left: -20px !important; font-size: 1.2em !important; line-height: 1.6 !important; } .gtr-container-xyz123 ol { list-style: none !important; padding-left: 25px !important; margin-bottom: 1em; } .gtr-container-xyz123 ol li { position: relative !important; margin-bottom: 0.5em !important; font-size: 14px !important; text-align: left !important; list-style: none !important; } .gtr-container-xyz123 ol li::before { content: counter(list-item) "." !important; color: #0000FF !important; position: absolute !important; left: -25px !important; width: 20px !important; text-align: right !important; font-size: 1em !important; line-height: 1.6 !important; } .gtr-container-xyz123 strong { color: #0000FF; } @media (min-width: 768px) { .gtr-container-xyz123 { padding: 30px 50px; } } 1. The performance of industrial cameras is strong, stable and reliable, and easy to install. The camera structure is compact and strong and not easily damaged. It has a long continuous working time and can be used in harsh environments. General digital cameras cannot do this. For example: civilian digital cameras cannot work continuously for a long time, cannot take rapid continuous shots, have no mounting holes, and cannot be fixed on the machine table; 2. The shutter time of industrial cameras can be very short, the exposure can be global, and high-speed moving objects can be captured. The shutter time of industrial cameras can generally be adjusted from 1/100000 seconds to 10 seconds. With machine vision light sources and strobe controllers, the shutter time can be set at the microsecond level, and global exposure can effectively solve problems such as smear. For example, if you attach a business card to the blades of an electric fan, rotate it at maximum speed, and capture an image with an industrial camera, you can still clearly identify the fonts on the business card. It is impossible to achieve the same effect with an ordinary camera; 3. The image sensor of an industrial camera is progressive scan, while the image sensor of a civilian camera is interlaced, or even scanned every three lines. The production process of progressive scan image sensors is relatively complex, the yield is low, the shipment volume is small, and the price is expensive. 4. The frame rate of industrial cameras is much higher than that of ordinary cameras. Depending on the camera resolution, industrial cameras can take several to hundreds or even thousands of pictures per second, while civilian cameras can only take a few images, which is a big difference. For example, a 300,000-pixel industrial camera can easily achieve 200 frames. 5. Industrial cameras usually output naked data, and their spectral ranges are often relatively wide, making them more suitable for high-quality image processing algorithms, such as machine vision applications. The spectral range of pictures taken by ordinary cameras is only suitable for human vision, and they have been compressed, resulting in poor image quality, which is not conducive to analysis and processing. 6. Due to the technical advantages of industrial cameras that are different from ordinary cameras, industrial cameras are more expensive than ordinary cameras. It is mainly determined by market demand. Industrial cameras are increasingly used in various major fields, so it is inevitable that the cost will remain high.
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