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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Key Technical Specifications of the OV6211 Module Explained 2025-09-23 For engineers, product developers, and system integrators, understanding the technical specifications of camera modules is vital to ensuring correct performance. The OV6211 120fps dual lens IR camera module presents a number of parameters that influence its capabilities. In this post we break them down so you can make informed decisions. Sensor and Pixel Attributes The OV6211 uses OmniVision OVM6211 sensor technology with global shutter pixels of size 3.0µm x 3.0µm. Global shutter technology allows capturing fast motion without image distortion (motion blur or rolling shutter artifacts). Pixel size matters because larger pixels collect more light, improving sensitivity, especially under IR illumination or low light. Resolution and Frame Rate Combinations Native resolution of 400 x 400 pixels at 120fps is ideal for eye tracking or gesture applications. Supports lower resolutions at even higher frame rates (e.g. 200 x 200 at ~200fps) for certain use cases where speed is more important than detail. Optical and Focus Properties Fixed focus lens with an optimal object distance around 20mm to 50mm. This makes it suited for close-range capture such as eye, face, or gesture. Anything outside that range will suffer focus blur. Field of view (FOV) is about 90°, wide enough to cover eye movement or gesture area without needing frequent mechanical adjustment. Infrared LED Illumination The module has dual IR LEDs at 850nm. IR LED helps illuminate the scene invisibly, so tracking works in low light or dark. IR filter and LED arrangement should minimize interference with reflections or glazing, especially for headset or facial tracking. Power and Interface Operates at 5.0V supply, USB2.0 interface. USB UVC driver-free plug and play makes integration easier. Power draw includes LED usage; idle or low power modes may reduce usage when full motion capture isn’t needed. Module Size and Mechanical Attributes Physical size roughly 6mm x 6mm x 3.5mm. Very compact footprint, suits small devices, wearables, VR frames. Fixed focus lens type, durable mounting. Sensitivity and Light Response With IR illumination, sensitivity is critical. The module has a certain sensitivity measure in mv/(Lux·sec) under IR (850nm). Noise, dark current, and dynamic range under IR or low light are important, especially in eye tracking where precision matters. Certifications and Production Capacity Certifications such as CE, RoHS, FCC and ISO ensure compliance with regulatory standards. High supply capacity (hundreds of thousands per month) helps in scaling application production. How Specs Translate to Real-World Performance For VR or wearable devices, the module’s compactness, frame rate, and IR capability allow for eye tracking that feels natural, not laggy. In biometric applications, resolution and sensor sensitivity contribute to accurate recognition. In gesture control, frame rate and optical quality (lens, LED, fixed focus) affect recognition speed and reliability. Conclusion The OV6211 dual lens IR camera module packs several technical strengths: high frame rate, global shutter pixels, IR illumination, compact size, fixed focus optics. By understanding what each spec implies — resolution vs frame rate trade-offs, optical aspects, sensitivity, interface and power — engineers can select or adapt this module optimally for VR, AR, biometric, gesture, or eye tracking systems.

Integrating the OV6211 Module into AR/VR Headsets and Devices 2025-09-23 Augmented Reality and Virtual Reality devices require compact, responsive, and power-efficient imaging systems. The OV6211 dual lens IR camera module is well suited for many of these systems. This blog explores how to integrate it into AR/VR headsets or wearable devices, design considerations, and common challenges. Mounting and Placement The module should be placed near the eye region, ideally within headset frame or in stereo camera housing. Positioning influences how natural tracking feels. Orientation and alignment matter; misalignment can lead to inaccurate tracking or distortion. Calibration routines must consider mounting variance. Mechanical Housing and Heat Management Module is small but components like IR LEDs generate heat. Ensure housing allows heat dissipation, avoid trapping heat near skin contact areas. UV resistant coatings or surface finishes help protect module housing or lenses from damage. Power Supply and USB Wiring Provide stable 5V power for module and LEDs. USB2.0 interface simplifies data and power but must support current demands of LEDs. Cable shielding, ground design, and connector durability are important in wearable devices subject to movement or flex. Software Drivers and Compatibility UVC driver-free modules simplify driver support across OS platforms. For real-time applications, ensure software pipeline (capture, processing, gaze estimation) is efficient. Low-power modes are valuable: modes that reduce frame rate or resolution when full tracking is not needed (e.g. idle or standby) conserve power and extend device battery life. Calibration and Optical Correction IR illumination produces reflection or glare depending on optical surfaces or lenses. Calibration can adjust threshold, exposure, LED intensity. Lens distortion or misalignment should be corrected via software (optical calibration matrices). Synchronization and Latency Control High frame rate helps, but latency in the entire chain (sensor capture, USB transfer, processing) should be minimized. Use higher speed hardware, optimized drivers, minimal buffer delays. For applications like foveated rendering, prediction of eye movement may be needed to compensate for delays. Use Case Scenarios VR headsets for gaming or training benefit from eye tracking for foveated rendering and gaze input. AR glasses for industrial or medical use that need gaze or gesture input for hands-free control. Training simulators or research devices tracking eye behavior. Challenges and Mitigations Glasses or contact lens reflections: choose LED intensity, optical filters, or IR absorption coatings. Ambient IR interference: sun or bright outdoor IR may confuse detection—shielding or adaptive gain control helps. Physical robustness: wearables may be jostled, bumped; module must be mounted securely and protected. Conclusion Integrating the OV6211 dual lens IR camera module in AR/VR headsets or wearables offers rich possibilities for eye tracking, gesture input, and immersive interaction. Proper mechanical design, power management, software calibration, and careful attention to heat and optical behavior are key to making it work smoothly and reliably in real-world devices.

How Eye Tracking Technology Enhances VR with High Frame Rate Modules 2025-09-23 Virtual Reality (VR) technology is evolving rapidly. Among the most significant advances is eye tracking, which has the potential to revolutionize rendering, user interface design, and comfort. High frame rate camera modules like the OV6211 make eye tracking feasible and effective. In this blog we discuss what eye tracking brings to VR and why high frame rate dual lens IR cameras are central. What is Eye Tracking in VR Eye tracking refers to the process of measuring the position, movement, and sometimes dilation of the eyes. In VR, this enables several capabilities: Foveated Rendering: rendering high resolution only where the user is looking while lowering detail elsewhere. This drastically reduces computational load. User Interfaces via Gaze or Blink: controlling menus or selection through gaze rather than traditional controllers. Comfort and Immersion: reducing lag, improving natural interaction, reducing motion sickness. Why High Frame Rate is Crucial Eye movements, saccades, blinks are very fast. To accurately detect these movements, cameras must capture frames rapidly. 120fps allows capturing motion quickly enough to respond in real time, minimizing lag. Lower frame rates may miss critical transitions and lead to jittery or inaccurate tracking. Role of Infrared Illumination Ambient light changes dramatically in VR environments. Infrared illumination at 850nm is invisible to human eye but can reliably illuminate the eye region for tracking. Dual lens plus IR helps with robust detection under varied lighting, glare, or darkness. IR also helps avoid detection errors that occur under visible light shadows or reflections. Depth Sensing via Dual Lens Dual lens systems allow for stereo vision or disparity based depth information. For eye tracking, this means: Better estimation of eye distance and orientation. Potential for 3D mapping of the eye region or mapping of eyelids. Improved robustness for gaze estimation when eyes move closer or further. Challenges and Solutions Latency: Even with 120fps, processing must be efficient. Use hardware or optimized software pipelines. IR Reflection / Glare: Use coated lenses, optimize LED placement, add iris filters. Power Consumption: Use low power modes when eye tracking is idle. IR LEDs consume power; module should support low-power or ultra-low power modes. Implementing in VR Devices Integrate module close to eye zone; ensure that the module size, weight, and position does not interfere with comfort. Use USB plug-and-play interface if possible for development or prototype; for production consider integrating USB or other fast interface. Ensure calibration routines for each headset to map eye position to viewport. Future of Eye Tracking in VR As displays improve (higher resolution, higher refresh rate), eye tracking becomes more important to manage resources and energy. Features like blink detection, pupil dilation sensing, predictive gaze are emerging. High frame rate modules like OV6211 position developers well to adopt these advanced features. Conclusion Eye tracking enhances VR by improving performance through foveated rendering, improving interaction via gaze, and increasing immersion. High frame rate dual lens IR modules are foundational to achieving accurate, low-latency eye tracking. The OV6211 dual lens camera module provides many of the specifications needed for advanced VR eye tracking, making it a promising choice for developers and product designers.

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