OV6211 Dual IR USB Camera Module Depth Sensing

AR VR Camera Module
December 24, 2025
Category Connection: AR VR Camera Module
Brief: Stay tuned as we highlight the most important features and real-use results. In this video, we demonstrate the OV6211 Dual IR USB Camera Module's capabilities in depth sensing, gesture recognition, and motion detection. You'll see how its dual-lens system captures high-frame-rate video for real-time 3D modeling, AR/VR, and robotics applications.
Related Product Features:
  • Features an ultra-compact 3.2 x 3.2 mm chip-scale package with a 6*6*3.5mm module size for embedded systems.
  • Utilizes 3-micron OmniPixel®3-GS global shutter pixels for clear, distortion-free imaging at up to 120 fps.
  • Supports dual-lens depth sensing with 400x400 resolution for real-time parallax calculation and 3D modeling.
  • Enables gesture recognition, eye tracking, biometrics, and motion detection for interactive applications.
  • Offers low power consumption and ultra-low power mode, ideal for portable and wearable devices.
  • Compatible with USB interface and supports multiple output formats including 8/10-bit RAW.
  • Includes programmable controls for frame rate, mirroring, cropping, and fast mode switching.
  • Widely used in AR/VR devices, robots, security systems, machine vision, and in-vehicle applications.
FAQs:
  • What are the primary applications of the OV6211 binocular camera module?
    The OV6211 is designed for gesture recognition, eye tracking, biometrics, depth and motion detection, making it suitable for embedded systems, robots, AR/VR devices, smart security, 3D modeling, and machine vision applications.
  • What resolution and frame rate does the OV6211 camera support?
    It captures 400 x 400 square resolution video at up to 120 frames per second, with support for other sizes like 200x200 at 200 fps, enabling high-speed imaging for depth sensing and analysis.
  • How does the dual-lens design enhance the camera's functionality?
    The dual lenses simultaneously acquire high-definition images, allowing for accurate parallax calculation to output real-time depth information, which is crucial for scene analysis, target tracking, and spatial interaction in 3D and AI-driven systems.