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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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Detailed explanation of camera anti-shake technology 2026-07-29 .gtr-container-jkh789 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 15px; box-sizing: border-box; max-width: 100%; overflow-x: hidden; } .gtr-container-jkh789 p, .gtr-container-jkh789 div, .gtr-container-jkh789 ul, .gtr-container-jkh789 ol, .gtr-container-jkh789 li { margin: 0; padding: 0; list-style: none !important; } .gtr-container-jkh789 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; } .gtr-container-jkh789 .gtr-section-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 1em; margin-top: 1.5em; } .gtr-container-jkh789 .gtr-subtitle { font-size: 16px; font-weight: bold; color: #0000FF; margin-top: 1.2em; margin-bottom: 0.8em; } .gtr-container-jkh789 .gtr-text-highlight { font-weight: bold; color: #0000FF; } .gtr-container-jkh789 a { color: #0000FF; text-decoration: none; transition: color 0.3s ease; } .gtr-container-jkh789 a:hover { color: #0000CC; text-decoration: underline; } .gtr-container-jkh789 .gtr-header-nav { display: flex; flex-wrap: wrap; gap: 10px 20px; margin-bottom: 20px; padding-bottom: 15px; border-bottom: 1px solid #e0e0e0; } .gtr-container-jkh789 .gtr-header-nav a { font-size: 14px; white-space: nowrap; } .gtr-container-jkh789 .gtr-company-info { margin-bottom: 20px; padding: 15px; background-color: rgba(0, 0, 255, 0.03); border-radius: 4px; } .gtr-container-jkh789 .gtr-company-name { font-size: 16px; font-weight: bold; color: #0000FF; margin-bottom: 10px; } .gtr-container-jkh789 .gtr-contact-item { font-size: 14px; margin-bottom: 5px; } .gtr-container-jkh789 .gtr-breadcrumb { font-size: 12px; color: #666; margin-bottom: 20px; padding: 8px 15px; background-color: rgba(0, 0, 0, 0.03); border-radius: 4px; } .gtr-container-jkh789 .gtr-breadcrumb a { color: #666; } .gtr-container-jkh789 .gtr-breadcrumb a:hover { color: #0000FF; } .gtr-container-jkh789 .gtr-article-header { margin-bottom: 20px; padding-bottom: 15px; border-bottom: 1px solid #e0e0e0; } .gtr-container-jkh789 .gtr-article-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 10px; } .gtr-container-jkh789 .gtr-article-meta { font-size: 12px; color: #888; } .gtr-container-jkh789 ul, .gtr-container-jkh789 ol { list-style: none !important; margin-left: 20px; margin-bottom: 1em; } .gtr-container-jkh789 li { position: relative; padding-left: 20px; margin-bottom: 0.5em; font-size: 14px; list-style: none !important; } .gtr-container-jkh789 ul li::before { content: "•" !important; position: absolute !important; left: 0 !important; color: #0000FF; font-size: 1.2em; line-height: 1; } .gtr-container-jkh789 ol li::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; color: #0000FF; font-weight: bold; width: 18px; text-align: right; margin-right: 5px; } @media (min-width: 768px) { .gtr-container-jkh789 { padding: 25px; } .gtr-container-jkh789 .gtr-header-nav { justify-content: flex-start; } .gtr-container-jkh789 .gtr-company-info { display: flex; flex-wrap: wrap; justify-content: space-between; align-items: center; padding: 20px; } .gtr-container-jkh789 .gtr-company-name { flex-basis: 100%; margin-bottom: 15px; } .gtr-container-jkh789 .gtr-contact-group { display: flex; flex-wrap: wrap; gap: 10px 30px; } .gtr-container-jkh789 .gtr-contact-item { margin-bottom: 0; } } Camera anti-shake 5Meg 8Meg, 12Meg The pixels of smartphones with high-pixel cameras are getting closer and closer to DSC. However, high-pixel mobile phone cameras do not contain some optical or mechanical components of DSC. This lack of hardware will undoubtedly make the camera phone's camera effect worse than that of DSC. The introduction of anti-shake technology can make the effect of high-pixel cameras closer to DSC. At present, the anti-shake technology of our cameras mainly uses the following types: Optical Image Stabilizer (optical anti-shake, hereinafter referred to as OIS), mobile CMOS chip surface, algorithmic anti-shake, JPEG transmission, High-ISO, MIPI transmission. Among the several technologies listed, we currently use algorithmic anti-shake, JPEG transmission, High-ISO, and MIPI transmission. It is expected that OIS will be used in the future. Here are some commonly used methods to prevent hand shake. OIS Anti-shake through the lens group mainly relies on the magnetic force to wrap the suspended lens, thereby effectively overcoming image blur caused by camera vibration. This effect is more obvious for digital cameras with large zoom lenses. Usually, the gyroscope in the lens detects small movements, and transmits the signal to the microprocessor to immediately calculate the amount of displacement that needs to be compensated, and then uses the compensation lens group to compensate according to the direction and displacement of the lens, thereby effectively overcoming image blur caused by camera vibration. The effect of the optical image stabilization function is quite obvious. Under normal circumstances, turning on this function can increase the shutter speed by 2-3 steps, so that handheld shooting will not produce blur. The effect is very obvious for beginners. In addition to, in telephoto digital cameras, the effect is also immediate. Algorithm anti-shake Electronic anti-shake technology utilizes dynamic vectors for shake detection. The swing direction and amount of the image are grasped based on the dynamic vector, and this is used as a reference to move the image position in parallel, thereby generating a shake-free dynamic image. Continuous shooting and anti-shake Continuous shooting anti-shake is a more compromise method. This mode of anti-shake allows the phone to continuously shoot the same photo at the fastest speed, usually 8 to 10 photos, and then selects the clearest photo through system processing to achieve anti-shake purposes. For example, Best Shot in Samsung Galaxy S3 takes 8 photos of the same scene in a continuous shooting mode, and then selects the best one. Anti-shake shooting in this way is also a way to get clear photos. High-ISO anti-shake Now APTINA, OVT, FUJITSU, and NEC all use the High-ISO method to prevent hand shake. This anti-shake effect has an impact on the image, that is, it introduces a certain amount of noise, but this is the cheapest anti-shake method and is easy to implement. Extras: Optical Image Stabilization Category Anti-shake through the special internal structure of Jingdu. Including Nikon VR anti-shake, Canon IS anti-shake, Panasonic MEGA OIS anti-shake, Sigma OS anti-shake, Sony SuperSterdy Shot, etc. This method is currently the most common. Body anti-shake technology. Proposed by Konica Minolta and currently used in Sony digital SLR cameras. On March 31, 2006, Konica Minolta announced its withdrawal from the camera business and decided to transfer some assets related to its imaging company's digital SLR cameras to Sony Corporation. "Natural anti-shake" technology that increases ISO value. The representative manufacturer of this technology is Fujifilm. Post-production anti-shake processing. Perform image sharpening and other processing, such as Samsung's ASR anti-shake, which uses this method. An anti-shake method that has a shake sensing device but does not perform physical compensation. It was first used by Sanyo in the newly launched CG6 digital camera.
In what scenarios can AI smart surveillance cameras be used? 2026-07-29 /* Unique root class generated: j3k9m1 */ .gtr-container-j3k9m1 { font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: #333; line-height: 1.6; padding: 16px; max-width: 100%; box-sizing: border-box; overflow-wrap: break-word; } .gtr-container-j3k9m1 p { font-size: 14px; margin-bottom: 1em; text-align: left !important; } .gtr-container-j3k9m1 .gtr-header { margin-bottom: 24px; } .gtr-container-j3k9m1 .gtr-title { font-size: 18px; font-weight: bold; color: #0000FF; margin-bottom: 16px; text-align: left !important; } .gtr-container-j3k9m1 .gtr-intro { margin-bottom: 24px; } .gtr-container-j3k9m1 .gtr-section { margin-bottom: 24px; } .gtr-container-j3k9m1 .gtr-algorithm-list { list-style: none !important; padding: 0; margin: 0; counter-reset: list-item; } .gtr-container-j3k9m1 .gtr-list-item { position: relative; padding-left: 30px; margin-bottom: 16px; } .gtr-container-j3k9m1 .gtr-list-item::before { content: counter(list-item) "." !important; position: absolute !important; left: 0 !important; font-weight: bold; color: #0000FF; width: 20px; text-align: right; top: 0; } .gtr-container-j3k9m1 .gtr-list-title { font-size: 16px; font-weight: bold; color: #0000FF; margin-bottom: 8px; text-align: left !important; } .gtr-container-j3k9m1 .gtr-conclusion { margin-top: 24px; padding: 16px; border-left: 4px solid #0000FF; background-color: #E0E0FF; margin-bottom: 24px; } .gtr-container-j3k9m1 .gtr-services { margin-top: 24px; padding-top: 16px; border-top: 1px solid #DDD; } .gtr-container-j3k9m1 .gtr-services-title { font-size: 16px; font-weight: bold; color: #0000FF; margin-bottom: 12px; text-align: left !important; } @media (min-width: 768px) { .gtr-container-j3k9m1 { padding: 32px; } .gtr-container-j3k9m1 .gtr-header { display: flex; gap: 32px; align-items: flex-start; } .gtr-container-j3k9m1 .gtr-title { flex: 0 0 30%; margin-bottom: 0; } .gtr-container-j3k9m1 .gtr-intro { flex: 1; margin-bottom: 0; } .gtr-container-j3k9m1 .gtr-algorithm-list { display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 24px; } .gtr-container-j3k9m1 .gtr-list-item { border: 1px solid #E0E0FF; padding: 20px; border-radius: 8px; box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05); margin-bottom: 0; } .gtr-container-j3k9m1 .gtr-list-item::before { top: 20px; left: 20px !important; } .gtr-container-j3k9m1 .gtr-list-title { padding-left: 30px; } .gtr-container-j3k9m1 .gtr-conclusion { margin-top: 32px; padding: 24px; } .gtr-container-j3k9m1 .gtr-services { margin-top: 32px; padding-top: 24px; } } In what scenarios can AI smart surveillance cameras be used? With the application of security + AI mode. Machine vision technology is increasingly used in the security field. Facial recognition access control systems and parking lot license plate recognition systems that are well known to the public are all applications of machine vision technology. With the continuous evolution of intelligent algorithms, machine vision technology is applied to more scenarios. Today we will use different algorithms to talk about the application scenarios of AI smart surveillance cameras. Face recognition algorithm The face recognition algorithm is one of the earliest algorithms that came out, and now its practical application scenarios are quite extensive. For example, some Skynet surveillance systems of the public security system, residential face recognition access control systems, face recognition attendance systems, etc. At the same time, some schools have also begun to establish access control systems with facial recognition algorithms as the core to control people entering and exiting the campus. License plate recognition algorithm The license plate recognition algorithm is also one of the earliest algorithms that came out. However, because it only recognizes vehicle license plates, it is mostly used in residential areas, shopping malls, industrial parks and other places where vehicles come and go frequently. The license plate recognition algorithm is an indispensable part of the entire security monitoring system. Through monitoring equipment with license plate recognition algorithms as the core, vehicles entering and exiting the site can be accurately monitored. In addition, in recent times, in the application scenarios of license plate recognition algorithms, new vehicle recognition algorithms have been launched by continuously digging into user needs. On the basis of recognizing license plates, different models such as cars, engineering vehicles, and trucks can be distinguished. This algorithm is very effective for vehicle control in industrial parks and some construction sites. Humanoid analysis algorithm The humanoid analysis algorithm is also a widely used algorithm. Monitoring equipment based on the human shape analysis algorithm as the core can not only be used as a perimeter prevention system, but can also analyze the human body shape. For example, identification of falls, identification of illegal intrusions, identification of abnormal gatherings, identification of fights, etc. Although the recognition accuracy of some algorithms still needs to be improved, the advantage of intelligent algorithms is that through continuous learning and improvement of algorithms, the recognition effect can be made more accurate. Safety hat recognition algorithm Hard hat recognition algorithms are a very important application on construction sites. Through surveillance cameras with hard hat recognition algorithms, the wearing of hard hats by construction site workers can be better regulated. Greatly protect the personal safety of construction workers. Flame recognition algorithm It is said that fire and water are ruthless. If you discover it one second in advance, you will lose one less point. The flame recognition algorithm can realize the monitoring of flames. Once a flame is detected in the monitoring screen, relevant personnel will be notified promptly through the system management platform. At the same time, it can also automatically turn on the fire extinguishing device when a fire is detected. Reduce disaster losses to the budding stage. In addition to the algorithms mentioned above, there are also more sophisticated algorithm applications developed for different needs of users in different scenarios. I will not list them all here. In a word, AI intelligent video surveillance is the future of the security industry. In today's era of big data, AI intelligent video surveillance systems can not only realize the most basic needs such as remote monitoring and video playback, but can also digitize video recordings to directly find the results we want or make corresponding instructions when some predetermined situations occur, greatly improving work efficiency and accuracy. Our Services We are mainly engaged in security monitoring engineering, computer system integration, integrated wiring, computer room and data center construction, smart cities, smart parks, multimedia conference systems, smart parking systems, building intercoms, building intelligent control, alarm systems, public broadcasting, weak current intelligent engineering design and construction, etc. The business covers 18 prefecture-level cities throughout Sichuan. We have very mature security system solutions in various scenarios, such as: hotel monitoring system solutions, factory monitoring system solutions, smart construction site solutions, hospital monitoring system solutions, hospital one-click calling solutions, etc.
Palmprint recognition of camera module 2026-07-28 /* Unique root class for style encapsulation */ .gtr-container-a1b2c3d4e5f6 { /* Color Palette based on #0000FF */ --primary-blue: #0000FF; --light-blue: #E0E0FF; /* For subtle backgrounds or accents */ --dark-blue: #0000CC; /* For hover states or stronger emphasis */ --text-color: #333333; --secondary-text-color: #666666; --border-color: #DDDDDD; --white: #FFFFFF; font-family: Verdana, Helvetica, "Times New Roman", Arial, sans-serif; color: var(--text-color); line-height: 1.6; padding: 20px; max-width: 100%; /* Mobile first */ box-sizing: border-box; /* No background-color for the component */ /* No border for the root container */ } .gtr-container-a1b2c3d4e5f6__title { font-size: 18px; font-weight: bold; color: var(--primary-blue); margin-bottom: 20px; text-align: left; } .gtr-container-a1b2c3d4e5f6__paragraph { font-size: 14px; margin-bottom: 15px; text-align: left !important; /* Enforce left alignment */ line-height: 1.6; color: var(--text-color); word-break: normal; /* Ensure words are not broken arbitrarily */ overflow-wrap: break-word; /* Allow long words to break if necessary, but prefer normal wrapping */ } .gtr-container-a1b2c3d4e5f6__paragraph:last-child { margin-bottom: 0; } /* Responsive design for PC screens */ @media (min-width: 768px) { .gtr-container-a1b2c3d4e5f6 { padding: 30px; max-width: 960px; /* Optimal width for readability on larger screens */ margin-left: auto; margin-right: auto; } .gtr-container-a1b2c3d4e5f6__title { font-size: 22px; /* Slightly larger title on PC */ margin-bottom: 25px; } .gtr-container-a1b2c3d4e5f6__paragraph { font-size: 15px; /* Slightly larger body text on PC for better readability */ margin-bottom: 20px; } } Camera Module Palmprint Recognition The camera module is an important module in machine vision imaging. It consists of sensors, lenses and image processing chips. Its main function is to capture light and images, convert them into digital signals, and perform image processing, ultimately realizing functions such as photography, video recording, and image recognition. Secondly, camera modules play an important role in face recognition and security authentication. Through deep learning and artificial intelligence algorithms, the camera module can accurately identify and verify facial information, providing a safer and more convenient unlocking method. Without entering a password or using a fingerprint, we can quickly unlock the phone and protect personal privacy by simply pointing our face at the camera. Palmprint recognition payment is a payment method based on biometric recognition, which uses a camera module to identify and verify the user's palmprint information. Palmprint refers to the texture and lines on the inside of a person's palm. Each person's palmprint pattern is unique and cannot be forged. Palmprint payment uses a camera module to scan the user's palm, convert the palmprint information into digital data, and compare it with a pre-registered palmprint template to verify the user's identity. The relationship between the camera module and palmprint recognition is that the camera module provides high-pixel sensors and image processing technology, allowing the mobile phone to capture and identify the user's palmprint information with high accuracy. The camera module converts palmprint information into digital data by scanning and image processing the palm, and transmits it to the payment system for verification. The security and accuracy of palmprint payment rely on the high performance and accuracy of the camera module. By combining the camera module with palmprint payment, users can achieve a safer and more convenient payment experience. Users only need to point their palms to the phone's camera, and the camera module will quickly scan and identify the user's palmprint information, and then compare it with a pre-registered palmprint template to verify the user's identity. This payment method does not require passwords or fingerprints, is simple and fast, and at the same time has a high degree of security. In short, the camera module and palmprint payment are closely integrated. Through the high-pixel sensor and image processing technology of the camera module, high-precision identification and verification of the user's palmprint information is achieved. The camera module provides powerful technical support for palmprint payment, allowing users to enjoy a safer and more convenient payment experience.
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