The Intel RealSense Depth Camera D435 is a high-performance stereo depth camera designed for computer vision, robotics, IoT, and AI research. It integrates dual global shutter depth sensors, an RGB sensor, and an onboard Intel D4 vision processor, enabling accurate depth perception even in dynamic environments.
With a wide field of view (up to 87° × 58°) and depth sensing range from 0.1 m to 10 m, the D435 is suitable for real-time 3D applications, including SLAM, obstacle avoidance, object tracking, and human-computer interaction. The USB 3.0 interface ensures high-bandwidth data transfer, while its compact form factor makes it easy to integrate into robotics and embedded systems.
Technical Specifications:
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Depth Technology: Active stereo with IR projector
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Depth Range: 0.1 m – 10 m (optimal 0.2–3 m)
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Depth Accuracy: <2% at 2 m
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Depth Sensors: Global shutter stereo pair (1280 × 720 @ up to 90 fps)
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RGB Camera: 1920 × 1080 @ 30 fps, rolling shutter
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Field of View (FoV): Depth: 87° × 58° × 95° (H × V × D), RGB: 69° × 42° × 77°
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Frame Rate: Up to 90 fps (depth), 30 fps (RGB)
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Processor: Intel RealSense Vision Processor D4
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Interface: USB 3.1 Gen 1 (Type-C)
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Operating Voltage: 5V via USB
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Dimensions: 90 mm × 25 mm × 25 mm
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Weight: ~72 g
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SDK Support: Intel RealSense SDK 2.0, ROS, OpenCV, PCL
Features:
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Wide FoV for better environmental coverage
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Global shutter sensors for fast motion capture and reduced blur
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Real-time depth streaming with high accuracy
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Cross-platform SDK with ROS and AI framework support
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Compact, plug-and-play module for robotics and research setups
Common Research & IoT Use Cases:
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Robotics: SLAM, obstacle detection, 3D mapping, robot vision
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AI & Computer Vision: Gesture recognition, object tracking, AR/VR prototyping
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IoT & Smart Systems: People counting, security, smart interaction systems
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Industrial Research: Automation, quality inspection, depth-based measurement
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Healthcare & Biomedicine: Motion tracking, rehabilitation systems, human activity recognition
The Intel RealSense D435 is highly valuable for researchers, robotics developers, and AI engineers, offering a balance of high-resolution depth sensing, wide coverage, and SDK support, making it a standard choice in academic and industrial research projects.