Intel RealSense Depth Camera D435i with IMU
Intel RealSense Depth Camera D435i with IMU
The Intel RealSense Depth Camera D435i is a professional-grade RGB-D camera with integrated 6-axis Inertial Measurement Unit (IMU) designed for robotics, autonomous systems, and computer vision applications. Engineers and developers use this camera for real-time 3D reconstruction, SLAM (Simultaneous Localization and Mapping), object detection, and motion tracking in demanding industrial environments. It solves the critical challenge of capturing synchronized depth, color, and inertial data in a compact form factor, enabling precise spatial awareness for autonomous mobile robots, drones, and vision-guided systems.
Product Overview
The D435i combines stereo depth sensing with active infrared projection to deliver accurate depth maps at up to 90 fps in VGA resolution. The camera uses Intel's proprietary stereo matching algorithm to compute depth from two synchronized infrared sensors, eliminating dependency on ambient lighting and providing consistent performance in varied illumination conditions. The integrated BMI055 IMU provides 3-axis accelerometer and 3-axis gyroscope data synchronized with video frames, enabling sensor fusion for motion estimation and orientation tracking. This dual-sensor architecture allows developers to build robust applications that fuse visual and inertial information for superior localization accuracy.
What distinguishes the D435i is its hardware synchronization capability between depth, RGB, and IMU streams, critical for real-time robotics applications where temporal alignment is essential. The camera features a 1280x720 RGB sensor and dual 1280x720 stereo infrared sensors with 87-degree field of view, providing comprehensive environmental perception. Built-in USB 3.0 connectivity enables high-bandwidth data streaming, while the compact 90x25x25mm form factor makes it ideal for integration into space-constrained platforms like quadcopters and mobile robots. The camera operates at 5V/380mA, making it compatible with standard USB power supplies and embedded computing platforms.
Key Specifications
| Specification | Details |
| Product Type | RGB-D Depth Camera with IMU |
| Brand | Intel |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Depth Resolution | 1280x720 pixels at 90 fps (VGA) |
| RGB Resolution | 1920x1080 pixels at 30 fps (Full HD) |
| Depth Field of View | 87 degrees (horizontal) |
| Depth Range | 0.105m to 10m (adjustable) |
| IMU Sensor | Bosch BMI055 6-axis (3-axis accelerometer + 3-axis gyroscope) |
| Connectivity | USB 3.0 SuperSpeed |
| Power Consumption | 5V/380mA |
| Physical Dimensions | 90x25x25 mm |
| Operating Temperature | 0 to 60 degrees Celsius |
Key Features
- Stereo Depth Sensing with Active IR Projection: Two synchronized infrared sensors with active dot pattern projection deliver accurate depth maps independent of ambient lighting, achieving sub-centimeter accuracy at close range
- Integrated 6-Axis IMU: Built-in accelerometer and gyroscope provide synchronized motion data for sensor fusion, enabling precise orientation tracking and motion estimation in robotics applications
- Hardware Synchronized Streams: Depth, RGB, and IMU data streams are hardware-synchronized with microsecond-level precision, critical for real-time motion tracking and SLAM algorithms
- High Frame Rate Depth: Up to 90 fps depth capture at VGA resolution enables smooth real-time 3D reconstruction and fast-moving object tracking in dynamic environments
- Compact Industrial Form Factor: 90x25x25mm rugged design with USB 3.0 connectivity integrates seamlessly into drones, mobile robots, and handheld scanning devices
- Cross-Platform SDK Support: Compatible with ROS, OpenCV, and librealsense open-source library for Linux, Windows, and macOS development
Applications and Use Cases
- Autonomous Mobile Robotics: SLAM and visual odometry for indoor navigation, obstacle avoidance, and autonomous path planning using fused depth and IMU data for robust localization
- Drone Perception Systems: Real-time 3D mapping and collision avoidance for quadcopters and aerial platforms, with IMU integration for stabilization feedback
- Industrial Inspection and Quality Control: 3D surface scanning and defect detection on assembly lines, leveraging high-resolution depth maps for precision measurement and anomaly detection
- Gesture Recognition and Human-Computer Interaction: Real-time hand and body pose estimation for AR/VR applications and touchless control systems using synchronized RGB-D streams
- Augmented Reality and Virtual Reality: Precise environmental mapping and user motion tracking for immersive applications requiring accurate spatial understanding
- Medical and Surgical Imaging: Depth-based patient monitoring and surgical navigation where synchronized inertial data aids in motion compensation
How to Use
To begin using the Intel RealSense D435i, first install the librealsense2 SDK from Intel's GitHub repository, available for Windows, Linux, and macOS. Connect the camera to a USB 3.0 port on your development machine and verify detection using the realsense-viewer utility. The viewer displays real-time depth, RGB, and IMU streams, allowing you to validate hardware functionality and calibration. Configure depth resolution, frame rate, and IMU sampling rate through the librealsense API based on your application requirements, balancing latency and bandwidth constraints.
For robotics applications, integrate the camera with ROS using the realsense-ros wrapper, which provides standard ROS topics for depth, RGB, and IMU data with automatic synchronization. If developing custom applications, use the librealsense C++ or Python API to access synchronized frame bundles containing depth, color, and inertial measurements. Implement sensor fusion algorithms such as Extended Kalman Filters to combine depth estimates with IMU gyroscope data for improved odometry accuracy. Ensure proper USB power delivery and cable quality for stable operation, especially when streaming at high frame rates. Calibrate the camera using Intel's calibration tools if sub-millimeter accuracy is required for your specific application.
Frequently Asked Questions
What is the difference between D435 and D435i?
The D435i includes an integrated 6-axis IMU (accelerometer and gyroscope) that the standard D435 lacks. This makes the D435i superior for robotics and motion tracking applications where synchronized inertial data is essential for SLAM, odometry, and orientation estimation. The D435i also features hardware synchronization between all sensor streams, ensuring microsecond-level temporal alignment critical for sensor fusion algorithms.
What is the maximum depth range and accuracy of the D435i?
The D435i has a maximum depth range of 10 meters in optimal conditions, though accuracy degrades with distance. At close range (0.5-2 meters), depth accuracy is approximately 1-2% of distance. The minimum working distance is 105mm. For best accuracy in industrial applications, operate the camera within 2-3 meters where depth error remains sub-centimeter. Depth accuracy is affected by surface texture, reflectivity, and ambient infrared interference.
Can the D435i work outdoors or in bright sunlight?
The D435i uses active infrared projection, making it less sensitive to ambient lighting than passive stereo cameras. However, strong direct sunlight with high infrared content can reduce depth accuracy. For outdoor use, position the camera to minimize direct sun exposure on the sensor, or use lens hoods to reduce glare. The camera performs optimally indoors or in shaded outdoor environments. For outdoor robotics, consider supplementing depth data with other sensors like LiDAR for robust perception.
Is the D435i compatible with ROS and Linux?
Yes, the D435i has excellent ROS support through the realsense-ros package, which provides standard ROS topics for depth, RGB, and IMU data. The librealsense2 SDK is fully compatible with Linux (Ubuntu 16.04, 18.04, 20.04), Windows, and macOS. The open-source nature of the SDK makes it ideal for research and development. Integration with ROS is straightforward, enabling quick deployment in robotic systems.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
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