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RealSense Depth Camera D455F
Original price was: ₹78,999.00.₹63,999.00Current price is: ₹63,999.00.
The Intel® RealSense™ Depth Camera D455f is an advanced long-range stereo depth camera featuring a 750 nm IR Pass Filter, global shutter sensors, up to 1280 × 720 depth resolution at 90 FPS, and USB 3.1 connectivity. Designed for robotics, AI, industrial automation, and machine vision, it delivers accurate depth sensing with reduced reflections and enhanced performance in challenging lighting conditions.
RealSense Depth Camera D455F
Features
- Long-range stereo depth camera with IR Pass Filter for improved depth accuracy
- Global shutter sensors minimize motion blur in dynamic environments
- 750 nm IR Pass Filter reduces reflections and false object detection
- Up to 1280 × 720 depth resolution at 90 FPS
- Global shutter RGB camera with up to 1280 × 800 resolution at 60 FPS
- Accurate depth sensing from 0.6 m to 6 m
- Depth accuracy of less than 2% at 4 m
- USB 3.1 Type-C interface for high-speed data transfer
- Compatible with Intel® RealSense™ SDK 2.0 and ROS
- Ideal for robotics, autonomous navigation, machine vision, industrial automation, and AI applications.
Specifications
| Model | RealSense™ Depth Camera D455f |
| Product Type | Stereo Depth Camera |
| Depth Technology | Active Stereo (Global Shutter) |
| Depth Resolution | Up to 1280 × 720 |
| Depth Frame Rate | Up to 90 FPS |
| RGB Camera Resolution | Up to 1280 × 800 @ 60 FPS |
| RGB Sensor | 1 MP Global Shutter |
| Depth Accuracy | <2% at 4 m |
| Operating Range | 0.6 m – 6 m |
| Minimum Depth Distance | Approx. 52 cm |
| Depth Field of View | 87° × 58° |
| RGB Field of View | 87° × 62° |
| Depth Filter | 750 nm IR Pass Filter |
| RGB Filter | IR Cut Filter |
| Interface | USB 3.1 Type-C |
| Dimensions | 124 × 29 × 26.8 mm |
| Mounting | 1/4″-20 UNC, Dual M4 Thread Mounts |
| SDK Support | Intel® RealSense™ SDK 2.0 (librealsense) |
| Supported Platforms | Windows, Linux, ROS |
| Typical Applications | Robotics, Industrial Automation, 3D Vision, AI, Machine Vision, Autonomous Systems |
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