Intel® RealSense™ Depth Camera D435i — for O

Intel® RealSense™ Depth Camera D435i — for OpenARM, ROS, and Robotics Vision Systems

Name: Intel® RealSense™ Depth Camera D435i — for OpenARM, ROS, and Robotics Vision Systems
Brand: Intel
SKU: ER-RSD435i
Price: 603.18 USD
Availability: InStock

Item No.: ER-RSD435i

HAN: D435i

EAN: 4060137000676

HS Code: 8525890000

Lagerstufe: Neu

603,18 $

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Net: 506,87 $

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The Intel® RealSense™ D435i combines stereo depth sensing, RGB imaging, and a built-in IMU. The IMU supplies motion data that can be used alongside depth information for robot navigation, positioning, and spatial perception. It is suited to OpenARM, ROS, and other robot vision projects. More product details

Description
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Product Description

The D435i adds an inertial measurement unit (IMU) to the D435’s stereo depth-sensing capabilities. It provides depth and color images together with acceleration and angular-velocity data, giving developers inputs for applications involving moving cameras or robots. How these data are fused depends on the software and system integration.

Key specifications

Depth technology: infrared stereo vision with global-shutter depth sensors
Recommended operating range: 0.3–3 m
Depth field of view: approximately 86° × 57° (±3° as shown in the image)
Depth output: up to 1280 × 720 and up to 90 fps; available frame rate depends on resolution and configuration
Depth accuracy: the supplied image states less than 2% error at 2 m
RGB output: up to 1920 × 1080 at 30 fps
Built-in IMU: provides acceleration and angular-velocity data
Connection: USB-C, USB 3.1 Gen 1
Dimensions: approximately 90 × 25 × 25 mm

Key benefits

Integrated IMU: Adds motion data to depth and RGB streams for visual-inertial development.
Designed for dynamic scenes: Global-shutter depth sensors support capture while the camera or scene is moving.
Compact form factor: Suitable for integration into robotics and vision systems.
Flexible development: Supports projects involving ROS, spatial perception, and 3D scanning.

Applications: Mobile robot navigation, robot-arm vision, visual-inertial positioning, 3D scene capture, research, and education. For OpenARM projects, verify compatibility with the specific hardware, software, and mounting setup.