Intel Intel RealSense D455f Depth Camera w/ IR Pass Filter
The Intel Intel RealSense D455f is a ruggedized, long-range depth camera featuring an IR pass filter for robust 3D vision in dynamic outdoor environments, powered by the Intel RealSense SDK 2.0 and a dedicated D4 vision processor.
Features
- Enhanced outdoor performance with an integrated IR pass filter to eliminate false depth readings from reflections and repetitive patterns.
- Extended depth perception with three global shutter sensors, offering a 0.6m to 6m range and <2% accuracy at 4 meters.
- High-fidelity data fusion with matched 1280×720 RGB and depth streams at up to 90 fps for precise 3D reconstruction.
- Integrated 6-DoF IMU (Inertial Measurement Unit) refines depth data during camera motion for robotics and automotive applications.
- Platform-independent development via the open-source Intel Intel RealSense SDK 2.0, supporting Windows, Linux, and ROS.
Out of stock
The Intel Intel RealSense D455f Depth Camera builds upon the proven D455 platform by integrating a critical IR pass filter over its stereoscopic imaging system. This filter selectively allows infrared light to pass, which is used for depth calculation, while blocking ambient visible light that can cause interference, reflections, and false object detection. The result is significantly improved reliability for 3D perception in challenging, variable lighting conditions typical of outdoor deployments.
At its core, the module utilizes the Intel RealSense Vision Processor D4 to handle the complex disparity calculations between images from its matched global shutter sensors. This dedicated processing, combined with a wide 87°×58° depth field of view and high frame rates, enables real-time spatial mapping and collision avoidance. The inclusion of a 6-axis IMU allows applications to dynamically correct depth data based on the camera’s own movement, essential for platforms like drones, AGVs, and robotic arms.
Additional Information
| Weight | 0.42 kg |
|---|---|
| Dimensions | 10 × 17 × 6 cm |
