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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 to choose a high-speed capture industrial camera 2026-08-11 .gtr-container-x7y2z9 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 16px; box-sizing: border-box; border: none; outline: none; background-color: transparent; } .gtr-container-x7y2z9 * { box-sizing: border-box; } .gtr-container-x7y2z9 .gtr-x7y2z9-header { margin-bottom: 24px; padding-bottom: 12px; border-bottom: 1px solid rgba(0, 0, 255, 0.1); } .gtr-container-x7y2z9 .gtr-x7y2z9-title { font-size: 18px; font-weight: bold; color: #0000FF; text-align: left; margin-bottom: 8px; } .gtr-container-x7y2z9 .gtr-x7y2z9-section { margin-bottom: 20px; padding: 16px; border-radius: 8px; background-color: #f9f9f9; box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05); } .gtr-container-x7y2z9 .gtr-x7y2z9-section-title { display: flex; align-items: baseline; margin-bottom: 12px; } .gtr-container-x7y2z9 .gtr-x7y2z9-section-number { font-size: 18px; font-weight: bold; color: #0000FF; margin-right: 8px; flex-shrink: 0; } .gtr-container-x7y2z9 .gtr-x7y2z9-section-heading { font-size: 18px; font-weight: bold; color: #222; text-align: left; } .gtr-container-x7y2z9 .gtr-x7y2z9-paragraph { font-size: 14px; margin-bottom: 12px; text-align: left !important; color: #333; line-height: 1.6; word-break: normal; overflow-wrap: normal; } .gtr-container-x7y2z9 .gtr-x7y2z9-paragraph:last-child { margin-bottom: 0; } .gtr-container-x7y2z9 .gtr-x7y2z9-company-info { margin-top: 30px; padding: 20px; border-left: 4px solid #0000FF; background-color: rgba(0, 0, 255, 0.05); border-radius: 0 8px 8px 0; box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05); } @media (min-width: 768px) { .gtr-container-x7y2z9 { padding: 24px; } .gtr-container-x7y2z9 .gtr-x7y2z9-header { margin-bottom: 32px; padding-bottom: 16px; } .gtr-container-x7y2z9 .gtr-x7y2z9-title { font-size: 24px; } .gtr-container-x7y2z9 .gtr-x7y2z9-section { padding: 20px; margin-bottom: 24px; } .gtr-container-x7y2z9 .gtr-x7y2z9-section-number, .gtr-container-x7y2z9 .gtr-x7y2z9-section-heading { font-size: 20px; } .gtr-container-x7y2z9 .gtr-x7y2z9-paragraph { font-size: 15px; } .gtr-container-x7y2z9 .gtr-x7y2z9-company-info { padding: 25px; } } 如何选择高速捕捉工业相机 1. Accuracy meets requirements The screening of this requirement has nothing to do with high-speed capture and is similar to the selection of ordinary industrial cameras, so I won’t go into details here. 2. Determine color requirements To capture the color characteristics of an object, you must use a camera with good color reproduction, such as a high-quality CCD or 3CCD camera. Projects that have nothing to do with color generally use black-and-white cameras, but this is not entirely the case. Some features to be detected may be better displayed in color pictures. In this case, you may also consider using a color camera. 3. Exposure time, how to shoot moving objects This part is the focus of discussion. When shooting moving objects, the most important problem that needs to be overcome is smear. Smear is caused by the relative movement between the shooting target and the camera system during exposure. This relative movement causes the image formed on the chip to keep changing. The pixels in each part are affected by the imaging from different positions of the object during the exposure process. The final picture is a superposition of pictures in a continuously changing image space. As long as the object is moving, there will be smear. In order to prevent it from having a significant impact on detection, different project types have different restrictions on the relative length of smear. For dimensional measurement projects, smear will have a serious impact on measurement accuracy. In this case, the smear length will be required to be as short as possible, such as no more than 1/3 pixel, or no more than one pixel, etc. For projects related to identification, counting, etc., the requirements for smear will be relatively wider. These requirements are generally true, not absolute, and will depend on the actual situation. 4. Frame rate Frame rate is the number of images a camera can capture per second. Generally determined by image size, exposure time, etc., it is an important indicator of the camera. The camera frame rate must ensure that it can capture two pictures with the shortest time interval required by the system. Otherwise, it may cause frame loss and other phenomena, thereby missing certain products. The above is the introduction of Dior Technology, a Shenzhen industrial camera manufacturer, on how to choose high-speed capture industrial cameras. In fact, in different industries, the parameters of industrial cameras required are different. As a professional industrial camera manufacturer, Dior Technology has attached great importance to academic exchanges for many years and actively participated in the drafting, demonstration or review of technical standards such as ISO International Organization for Standardization, SAC National Standardization Management Committee, local governments, industry alliances, etc. Drafted and compiled the international standard IEC62676-3 "Video Surveillance System in Security Applications - Part 3: Analog and Digital Video Interface", the national standard GB/T16677 "Wired Transmission Device for Alarm Image Signals" and the national standard GB12647 "Universal Applied Television Standard" to provide authoritative technical standards for the development, production, engineering and acceptance of applied television fields and the security industry. The company invests more than 10% of its sales revenue in product research and development every year to create high-quality, cost-effective machine vision and security monitoring system products.
Detailed explanation of the classification of industrial cameras 2026-08-11 .gtr-container-abc789 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333333; line-height: 1.6; padding: 15px; box-sizing: border-box; max-width: 100%; overflow-x: hidden; } .gtr-container-abc789 p { margin-top: 0; margin-bottom: 1em; font-size: 14px; text-align: left; word-break: normal; overflow-wrap: normal; } .gtr-container-abc789 ol { list-style: none !important; margin: 0; padding: 0; } .gtr-container-abc789 ol li { position: relative; padding-left: 30px; margin-bottom: 15px; font-size: 14px; text-align: left; } .gtr-container-abc789 ol li::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; color: #0000FF; font-weight: bold; width: 25px; text-align: right; font-size: 16px; top: 0; } .gtr-container-abc789 .gtr-list-heading { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 0.5em; line-height: 1.4; } .gtr-container-abc789 .gtr-image-placeholder { text-align: center; margin: 20px 0; font-style: italic; color: #666666; } @media (min-width: 768px) { .gtr-container-abc789 { padding: 25px; } .gtr-container-abc789 p { margin-bottom: 1.2em; } .gtr-container-abc789 ol li { margin-bottom: 20px; } .gtr-container-abc789 .gtr-list-heading { font-size: 18px; } } As the most important component in machine vision, industrial cameras are widely used in many industries such as intelligent transportation, scientific research institutes, hospitals and schools, factories and mines, and cultural relic appraisal units. There are also many core components, and industrial cameras can be divided into many types according to different classifications. Next, Dior Technology, a Shenzhen industrial camera manufacturer, will give you a brief introduction to the classification of industrial cameras. 1.jpg 1. Classification by output mode: analog camera, digital camera According to the different data output modes of cameras, they can be divided into analog cameras and digital cameras. Analog cameras output analog signals and digital cameras output digital signals. Analog cameras and digital cameras can be further subdivided. For example, Weishi image industrial cameras include: USB 2.0 interface, IEEE 1394 a / Fire Wire interface, and Gigabit Ethernet interface according to data interface. Analog cameras are divided into two types: progressive scan and interlaced scan. Interlaced scan cameras also include standard formats such as EIA, NTSC, CCIR, and PAL. 2. Classification by target surface type: area scan camera, line scan camera Industrial cameras are distinguished not only by sensor technology, but also by sensor architecture. There are two main sensor architectures: area scan and line scan. Area scan industrial cameras are typically used where the output is displayed directly on a monitor. Line scan industrial cameras are used for imaging continuously moving objects or where continuous high-resolution imaging is required. A natural application of line scan industrial cameras is to image continuous products in still images (Web Inspection), such as textiles, paper, glass, steel plates, etc. At the same time, line scan industrial cameras are also suitable for non-still image detection in the electronics industry. 3. Color camera, black and white camera: The black-and-white camera directly converts the light intensity signal into the grayscale value of the image, generating a grayscale image; the color camera can obtain the light signals of the three components of red, green, and blue in the scene and output a color image. Color cameras can provide more image information than black and white cameras. There are two main methods for realizing color cameras, prism spectroscopy and Bayer filtering. The prism spectroscopic color camera uses an optical lens to separate the R, G, and B components of the incident light, converts the light signals of the three colors into electrical signals on three sensors, and finally synthesizes the output digital signals to obtain a color image. 2.jpg 4. CCD camera, CMOS camera The main difference between the two industrial camera chips is the way they convert light into electrical signals. For CCD sensors, light shines on the pixel, and the pixel generates charges. The charges are transmitted through a small number of output electrodes and converted into current, buffering, and signal output. For CMOS sensors, each pixel completes the conversion of charge to voltage by itself and generates a digital signal at the same time. The above is the introduction to the classification of industrial cameras by Dior Technology, a Shenzhen industrial camera manufacturer. Since industrial cameras have many core parameters, they can be divided into different types of industrial cameras according to different parameters. In addition to the above introduction, industrial camera interfaces can also be divided into GIGE industrial cameras, USB industrial cameras, 1394 industrial cameras, etc.
Basic knowledge of machine vision light sources 2026-08-11 .gtr-container-mvls-7f8e9d { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 1.5em; max-width: 100%; box-sizing: border-box; margin: 0 auto; } .gtr-container-mvls-7f8e9d p { font-size: 14px; margin-bottom: 1em; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-mvls-7f8e9d-main-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 1.5em; margin-bottom: 1em; text-align: left !important; } .gtr-container-mvls-7f8e9d-section-title { font-size: 16px; font-weight: bold; color: #0000CC; margin-top: 1.5em; margin-bottom: 0.8em; text-align: left !important; } .gtr-container-mvls-7f8e9d-list, .gtr-container-mvls-7f8e9d-ordered-list { list-style: none !important; margin: 0; padding: 0; margin-bottom: 1.5em; } .gtr-container-mvls-7f8e9d-list li, .gtr-container-mvls-7f8e9d-ordered-list li { list-style: none !important; position: relative; padding-left: 1.8em; margin-bottom: 0.5em; font-size: 14px; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-mvls-7f8e9d-list li::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF; font-size: 1.2em; line-height: 1; top: 0; } .gtr-container-mvls-7f8e9d-ordered-list { counter-reset: list-item; } .gtr-container-mvls-7f8e9d-ordered-list li { counter-increment: none; padding-left: 2.5em; } .gtr-container-mvls-7f8e9d-ordered-list li::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; color: #0000FF; font-weight: bold; text-align: right; width: 2em; top: 0; } .gtr-container-mvls-7f8e9d-list-item-title { font-weight: bold; color: #0000FF; } .gtr-container-mvls-7f8e9d-intro-paragraph, .gtr-container-mvls-7f8e9d-conclusion-paragraph { margin-bottom: 1.5em; } @media (min-width: 768px) { .gtr-container-mvls-7f8e9d { padding: 2em 3em; max-width: 960px; } .gtr-container-mvls-7f8e9d-main-title { font-size: 20px; } .gtr-container-mvls-7f8e9d-section-title { font-size: 18px; } } The basic components of visual inspection hardware include: processor, camera, lens, and light source. Through appropriate light source lighting design, the target information and background information in the image can be optimally separated. This can not only greatly reduce the algorithm difficulty of image processing, but also improve the accuracy and reliability of the system. Unfortunately, there is currently no universal machine vision lighting system that can cope with different detection requirements. Therefore, for each specific case, it is necessary to design an adapted lighting device to achieve the best effect. Inappropriate lighting will cause many problems. Machine vision light sources are so important, but they are often ignored by many people. At present, machine vision light sources mainly use LEDs (light-emitting diodes). Machine vision light source Machine vision illumination methods include: Direct light: The incident light basically comes from one direction and has a small angle of incidence. It can cast the shadow of the object. Diffuse light: The incident light comes from multiple directions, or even all directions, and it does not cast obvious shadows. Polarized light: In a plane perpendicular to the direction of propagation, the light vector vibrates only in a certain fixed direction. Parallel light: light with the same illumination angle, such as sunlight. The narrower the luminous angle of LED direct light, the closer it is to parallel light. Machine vision light source basics: Shape freedom An LED light source is composed of many individual LEDs. Therefore, compared with other light sources, it can be made into more shapes, and it is easier to design the shape and size of the light source according to the user's situation. Long service life In order for the image processing unit to obtain accurate and repeatable measurement results, the lighting system must ensure that it can provide stable image input for a long period of time. The brightness of LED light sources decreases after 10,000 to 30,000 hours of continuous operation, but the effect is far better than other types of light sources. In addition, using a control system to make it work intermittently can suppress the heating of the luminous tube and double its life. Fast response speed The response time of the LED light-emitting tube is very short. The real meaning of the response time is to ensure the working switching between multiple light sources or between different areas of a light source as required. When a special controller is used to power the LED light source, the time to reach the maximum illumination is less than 10s. Various colors In addition to the shape of the light source, another aspect of obtaining stable image input is the choice of the color of the light source. Even for light sources of the same shape, the images obtained will be very different due to different colors. In fact, how to use the technical characteristics of light source color to obtain the best contrast image effect has always been the main direction of light source development. Low comprehensive operating costs If you choose a product that is cheap but has no guaranteed performance, the initial investment savings will soon be offset by the daily maintenance and repair costs. Other light sources not only consume 2-10 times more power than LED light sources, but also need to be replaced almost every month, which wastes a lot of valuable time for maintenance engineers. Moreover, the more light sources that are put into use, the greater the cost of device replacement and labor. Therefore, it is very economical to choose long-life LED light sources in the long run. When designing optical systems for machine vision applications, the most important concern is the reflected light from the surface of the object. The geometric shape, gloss and color of the surface of the object determine how light is reflected on the surface of the object. The trick to applying light sources in machine vision boils down to how to control the light reflection of objects. As long as the reflected light is better controlled, the collected images will be easier to control.
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