Shenzhen City Haozhou Technology Co., Ltd.
Home
Products
USB Camera Module
MIPI Camera Module
Global Shutter Camera Module
Endoscope Camera Module
Binocular Camera Module
DVP Camera Module
AR VR Camera Module
OIS Camera Module
Raspberry Pi Camera Module
About Us
company profile
certification
Factory Tour
QC Profile
Contact Us
News
Cases
chat now
Quality USB Camera Module factory

Hot Products

We are growing in many areas.
Video quality OV6211 120FPS Dual Lens Camera Module LED 30W VR Eye Tracking IR Camera Module factory

OV6211 120FPS Dual Lens Camera Module LED 30W VR Eye Tracking IR Camera Module

chat now
Video quality ESP32 5MP OV5640 Camera Module 75mm FPC DVP MIPI Camera Module Face Recognition factory

ESP32 5MP OV5640 Camera Module 75mm FPC DVP MIPI Camera Module Face Recognition

chat now
Video quality HZ OEM IMX179 8MP Industrial Camera Module 4K USB With 12 LED Camera factory

HZ OEM IMX179 8MP Industrial Camera Module 4K USB With 12 LED Camera

chat now
quality 1.6MM Diameter Endoscope Camera Module USB Medical OV6946 Camera Module factory

1.6MM Diameter Endoscope Camera Module USB Medical OV6946 Camera Module

chat now
Video quality 1.6MP IMX296 Color Camera Module Global Shutter USB3.0 CMOS Sensor With CS Lens factory

1.6MP IMX296 Color Camera Module Global Shutter USB3.0 CMOS Sensor With CS Lens

chat now
quality AR0234 1080P 95FPS Global Shutter Camera Module 120 Degree Distortion Free USB Camera Module factory

AR0234 1080P 95FPS Global Shutter Camera Module 120 Degree Distortion Free USB Camera Module

chat now
China Shenzhen City Haozhou Technology Co., Ltd.
about us
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 ...
read more >>
0

No. of Employees
0

Annual Sales
0

Year Established
Created with Pixso.
0

Export p.c

News

Selection of light sources in machine vision systems 2026-08-05 .gtr-container-x7y2z9 { 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-x7y2z9 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; } .gtr-container-x7y2z9__section-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 2em; margin-bottom: 1.5em; text-align: left !important; } .gtr-container-x7y2z9__type-section { margin-bottom: 2em; padding: 1em; border: 1px solid #A0A0FF; border-radius: 8px; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05); background-color: #F8F8FF; /* Very light blue background for sections */ } .gtr-container-x7y2z9__type-heading { font-size: 16px; font-weight: bold; color: #0000CC; /* Slightly darker blue for type headings */ margin-bottom: 1em; text-align: left !important; } .gtr-container-x7y2z9__sub-heading { font-size: 14px; font-weight: bold; color: #0000FF; margin-top: 1em; margin-bottom: 0.5em; text-align: left !important; } .gtr-container-x7y2z9__sub-list { list-style: none !important; padding-left: 20px !important; margin-top: 0.5em; margin-bottom: 1em; } .gtr-container-x7y2z9__sub-list-item { position: relative !important; padding-left: 1.5em !important; margin-bottom: 0.5em; font-size: 14px; text-align: left !important; } .gtr-container-x7y2z9__sub-list-item::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF; font-size: 1.2em; line-height: 1; top: 0.1em; } @media (min-width: 768px) { .gtr-container-x7y2z9 { padding: 24px 40px; } .gtr-container-x7y2z9__section-title { font-size: 20px; margin-top: 2.5em; margin-bottom: 2em; } .gtr-container-x7y2z9__type-section { padding: 1.5em; } .gtr-container-x7y2z9__type-heading { font-size: 17px; } .gtr-container-x7y2z9__sub-heading { font-size: 15px; } .gtr-container-x7y2z9__sub-list-item { font-size: 14px; } } 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 measured 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.
The difference between area array cameras and line array cameras 2026-08-05 .gtr-container-a1b2c3d4e5 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333333; line-height: 1.6; padding: 15px; box-sizing: border-box; } .gtr-container-a1b2c3d4e5 p { font-size: 14px; margin-bottom: 10px; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-a1b2c3d4e5 .gtr-heading-1 { font-size: 18px; font-weight: bold; color: #0000FF; margin-top: 25px; margin-bottom: 15px; padding-bottom: 5px; border-bottom: 1px solid #E0E0FF; } .gtr-container-a1b2c3d4e5 .gtr-emphasis { font-weight: bold; color: #0000CC; } .gtr-container-a1b2c3d4e5 .gtr-section { margin-bottom: 20px; } @media (min-width: 768px) { .gtr-container-a1b2c3d4e5 { padding: 30px; max-width: 960px; margin: 0 auto; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1); border-radius: 8px; } .gtr-container-a1b2c3d4e5 .gtr-heading-1 { margin-top: 35px; margin-bottom: 20px; } .gtr-container-a1b2c3d4e5 p { margin-bottom: 12px; } } 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. Application fields Line array cameras: 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.
The difference between area array cameras and line array cameras 2026-08-05 .gtr-container-p1q2r3 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333333; line-height: 1.6; padding: 20px; max-width: 100%; box-sizing: border-box; border-radius: 8px; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.05); } .gtr-container-p1q2r3 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; word-break: normal; overflow-wrap: normal; } .gtr-container-p1q2r3-list { list-style: none !important; padding: 0; margin: 0; } .gtr-container-p1q2r3-list li { list-style: none !important; position: relative; padding-left: 40px; margin-bottom: 25px; background-color: rgba(0, 0, 255, 0.03); padding-top: 15px; padding-right: 15px; padding-bottom: 15px; border-radius: 6px; border: 1px solid rgba(0, 0, 255, 0.1); } .gtr-container-p1q2r3-list li:last-child { margin-bottom: 0; } .gtr-container-p1q2r3-list li::before { content: counter(list-item) "." !important; position: absolute !important; left: 15px !important; top: 15px; font-weight: bold; color: #0000FF; font-size: 18px; width: 20px; text-align: right; } .gtr-container-p1q2r3-list-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 15px; padding-bottom: 5px; border-bottom: 1px solid rgba(0, 0, 255, 0.1); display: block; } @media (min-width: 768px) { .gtr-container-p1q2r3 { padding: 30px; max-width: 900px; margin: 0 auto; } .gtr-container-p1q2r3 p { font-size: 14px; } .gtr-container-p1q2r3-list li { padding-left: 50px; padding-top: 20px; padding-right: 20px; padding-bottom: 20px; } .gtr-container-p1q2r3-list li::before { left: 20px !important; top: 20px; font-size: 20px; width: 25px; } .gtr-container-p1q2r3-list-title { font-size: 20px; margin-bottom: 20px; } } 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. 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.
TOP selling
More Products

0.3MP GC0309 USB Camera Module VGA CMOS QR Code Scanning Micro Camera Module

OEM 2MP AR0230 USB Wide Angle Camera Module 1080P HD Industrial Night Vision

OEM 2MP WDR Synchronous Stereo Camera Module FF USB For Face Recognition Camera

OEM 3.9mm 720P IP67 Endoscope Camera Module FF Wide Angle USB Camera Module with LED

2MP OV2740 7.0mm Industrial Endoscope Camera Module 1080P 60FPS usb webcam module

OEM 5MP OV5640 Industrial Camera Module 1080P USB For 3D Printer Camera

1 / 4 Inch 5MP OV5640 Laptop Camera Module 2K USB CMOS For Face Recognition Camera

OEM 5MP OV5640 USB Camera Module AF PC Multimedia CMOS Camera Module

5MP MIPI Camera Module OV5647 Raspberry Pi Camera Module FF 1080P Wide Angle MIPI CSI

2.3MP AR0234 USB Global Shutter Camera Module 1080P

8MP 4K 30fps Sony IMX334 USB Camera Module Industrial Machine Vision CMOS Sensor Camera Module

OV9732 USB Industrial Camera Module 720P 30fps 100 Degrees 1mp Cmos Camera module

2MP USB PoE Defogging Camera Module

HDR 30fps 2MP USB Camera Module 1080P With GC2053 CMOS Sensor

5MP AR0521 MIPI CSI Interface Camera Module With infrared filter

Full HD 5MP HDR AR0521 USB camera module 2K suitable for machine vision industrial inspection

Sony IMX378 12.3MP MIPI CMOS Camera Module for Industrial Equipment

8MP IMX179 Autofocus Split Type USB Camera Module

OV13855 13MP MIPI Cmos Camera Module 4K 30fps for Smart Helmet

OV5640 5MP CMOS Sensor MIPI Camera Module 2K 1080P Auto Focus
CONTACT US AT ANY TIME
B310, Nanshan Internet Innovation and Creative Service Base (Phase II), No. 126, Xia Road, Shekou Bay, Nanshan District, Shenzhen,Guangdong,China
What would you like to request?
CUSTOMERS & PARTNERS
B310, Nanshan Internet Innovation and Creative Service Base (Phase II), No. 126, Xia Road, Shekou Bay, Nanshan District, Shenzhen,Guangdong,China E-mail: ceo@cammoduletech.com Tel: +86 13682433881 Tel: +86 13682433881
The Largest R&D and Production USB Camera Module Supplier in China
8613682433881
ceo@cammoduletech.com
zhangcaiping84
Privacy Policy | sitemap | China Good Quality USB Camera Module supplier. 2025-2026 Shenzhen City Haozhou Technology Co., Ltd. . All Rights Reserved.