Intel RealSense Depth Camera D405
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- / ପ୍ରତି
Intel RealSense Depth Camera D405
The Intel RealSense Depth Camera D405 is a compact, USB-powered depth sensing module that captures high-precision 3D spatial data using stereo depth technology, delivering real-time depth maps at VGA resolution with minimal latency. Professional developers, roboticists, and computer vision engineers utilize this camera for autonomous navigation, gesture recognition, object detection, and spatial mapping applications where accurate depth perception is critical. This camera solves the challenge of affordable, reliable depth sensing in embedded systems and edge computing environments where traditional LiDAR solutions are cost-prohibitive or space-constrained.
Product Overview
The Intel RealSense D405 employs advanced stereo depth sensing technology with infrared structured light patterns to compute depth information from two synchronized camera views. Unlike passive stereo systems, the D405 projects known infrared patterns onto the scene, enabling robust depth calculation even in textureless environments and low-light conditions. The camera features global shutter sensors that eliminate motion artifacts, making it ideal for fast-moving robotics applications. Its compact form factor and low power consumption (under 1.5W) enable seamless integration into drones, mobile robots, and handheld scanning devices without significant thermal or power management concerns.
The D405 distinguishes itself through its exceptional close-range performance, with minimum working distance as low as 0.1 meters, making it perfect for tabletop manipulation tasks and detailed object scanning. The camera outputs raw depth frames, RGB video, and infrared streams simultaneously via USB 3.0, with native support for ROS, OpenCV, and custom C++ applications through Intel's comprehensive SDK. Built-in distortion correction and depth alignment algorithms reduce post-processing overhead, while the camera's passive infrared illumination ensures it operates safely in human-centric environments without eye safety concerns.
Key Specifications
| Specification | Details |
| Product Type | USB 3.0 Stereo Depth Camera with Infrared Structured Light |
| Brand | Intel RealSense |
| 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 | 640 x 480 pixels (VGA) |
| RGB Resolution | 640 x 480 pixels at 30 FPS |
| Depth Frame Rate | Up to 30 FPS |
| Minimum Working Distance | 0.1 meters (10 cm) |
| Maximum Working Distance | 6 meters (indoor, optimal lighting) |
| Field of View | 87 degrees (H) x 58 degrees (V) |
| Power Consumption | Under 1.5W typical operation |
| Interface | USB 3.0 Type-C |
| Depth Accuracy | ±2% at 1 meter distance |
Key Features
- Stereo Depth Sensing with Infrared Structured Light: Projects known IR patterns for robust depth calculation in textureless and low-light environments, eliminating passive stereo matching failures
- Exceptional Close-Range Performance: 0.1 meter minimum working distance enables detailed object scanning, hand gesture recognition, and tabletop robotic manipulation tasks
- Global Shutter Sensors: Eliminates motion blur and temporal artifacts when capturing fast-moving subjects, critical for drone navigation and dynamic scene analysis
- Simultaneous Multi-Stream Output: Delivers synchronized depth, RGB, and infrared streams in real-time through single USB 3.0 connection, reducing integration complexity
- Low Power Consumption: Under 1.5W operation enables battery-powered deployment on mobile robots, drones, and portable scanning devices without thermal throttling
- Native SDK Support: Comprehensive Intel RealSense SDK with OpenCV, ROS, and C++ bindings accelerates development for computer vision and robotics applications
Applications and Use Cases
- Autonomous Mobile Robotics: Provides real-time 3D obstacle detection and SLAM (Simultaneous Localization and Mapping) for indoor navigation, collision avoidance, and path planning in dynamic environments
- Gesture and Hand Recognition: Captures detailed hand pose and finger tracking at close range for touchless human-computer interaction, gaming controllers, and accessibility applications
- Object Detection and Bin Picking: Enables robotic arms to identify, localize, and grasp objects with precise depth information for warehouse automation and manufacturing pick-and-place operations
- 3D Scanning and Reconstruction: Generates high-fidelity point clouds for product inspection, quality control, and digital asset creation in manufacturing and e-commerce sectors
- Augmented Reality and Mixed Reality: Provides depth context for realistic virtual object placement, occlusion handling, and spatial understanding in AR/MR applications on edge devices
- Medical and Dental Imaging: Captures precise 3D surface geometry for surgical planning, dental modeling, and patient-specific device fabrication in clinical settings
How to Use
Begin by connecting the Intel RealSense D405 to a USB 3.0 port on your host computer or embedded system (Raspberry Pi 4, NVIDIA Jetson, or industrial PC). Install the Intel RealSense SDK 2.0 from the official repository, which includes device firmware updates and essential libraries. Launch the RealSense Viewer application to verify camera operation, calibrate depth alignment, and adjust infrared emitter intensity based on ambient lighting conditions. For development, import the librealsense library into your C++, Python, or ROS project, initialize the pipeline with depth and color streams at your desired resolution and frame rate, and retrieve synchronized depth frames using the get_frame() method.
Configure depth post-processing filters such as spatial smoothing, temporal filtering, and hole-filling to improve depth map quality in challenging lighting or reflective surfaces. When deploying in production, implement proper USB power management to ensure stable operation, validate depth accuracy using reference objects at known distances, and establish error handling for frame drops during high CPU load scenarios. For robotics applications, synchronize depth frames with IMU data or motor commands using timestamps embedded in each frame. Test your application across the full 0.1 to 6 meter working range and adjust camera placement to minimize IR interference from multiple RealSense cameras operating simultaneously.
Frequently Asked Questions
What is the difference between the D405 and other RealSense depth cameras like D435 or D455?
The D405 is optimized for close-range applications with a 0.1 meter minimum working distance compared to 0.3 meters on the D435, making it superior for hand gesture recognition and tabletop manipulation. The D405 uses a more compact form factor with lower power consumption, ideal for battery-powered drones and mobile robots. The D435 and D455 offer wider field of view and better performance at longer distances (up to 10 meters), making them better suited for large-scale SLAM and outdoor robotics. Choose D405 for embedded systems with power constraints and close-range precision requirements.
Can I use multiple D405 cameras simultaneously without infrared interference?
Yes, Intel RealSense cameras use temporally multiplexed infrared patterns that allow multiple units to operate in close proximity without cross-interference. However, when deploying more than 3-4 cameras in the same space, reduce the infrared emitter power using the RealSense SDK to minimize ambient IR saturation. Stagger camera mounting angles to prevent direct IR beam overlap, and monitor depth map quality using the Viewer application. In extreme multi-camera setups, consider hardware synchronization using the D405's GPIO pins or external trigger signals for coordinated frame capture.
What are the power requirements and can the D405 run on unpowered USB hubs?
The D405 consumes under 1.5W during normal operation but requires USB 3.0 SuperSpeed bandwidth (5 Gbps) for simultaneous depth and RGB streaming. While the camera draws minimal current, unpowered USB hubs may cause voltage sag under heavy system load. Use powered USB 3.0 hubs rated for at least 2A per port, or connect directly to host motherboard USB 3.0 headers for maximum stability. On Raspberry Pi 4 and Jetson devices, use external powered USB hubs as the onboard USB controller has limited power delivery capacity.
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.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
Buy Intel RealSense Depth Camera D405 Online in India
Purchase the Intel RealSense Depth Camera D405 online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on Intel RealSense Depth Camera D405 with fast shipping and expert support.
Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.
Intel RealSense Depth Camera D405
- ୟୁନିଟ୍ ମୂଲ୍ୟ
- / ପ୍ରତି
ତୁମର କାର୍ଟରେ ଉତ୍ପାଦ ଯୋଗ କରିବା |
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Intel RealSense Depth Camera D405
The Intel RealSense Depth Camera D405 is a compact, USB-powered depth sensing module that captures high-precision 3D spatial data using stereo depth technology, delivering real-time depth maps at VGA resolution with minimal latency. Professional developers, roboticists, and computer vision engineers utilize this camera for autonomous navigation, gesture recognition, object detection, and spatial mapping applications where accurate depth perception is critical. This camera solves the challenge of affordable, reliable depth sensing in embedded systems and edge computing environments where traditional LiDAR solutions are cost-prohibitive or space-constrained.
Product Overview
The Intel RealSense D405 employs advanced stereo depth sensing technology with infrared structured light patterns to compute depth information from two synchronized camera views. Unlike passive stereo systems, the D405 projects known infrared patterns onto the scene, enabling robust depth calculation even in textureless environments and low-light conditions. The camera features global shutter sensors that eliminate motion artifacts, making it ideal for fast-moving robotics applications. Its compact form factor and low power consumption (under 1.5W) enable seamless integration into drones, mobile robots, and handheld scanning devices without significant thermal or power management concerns.
The D405 distinguishes itself through its exceptional close-range performance, with minimum working distance as low as 0.1 meters, making it perfect for tabletop manipulation tasks and detailed object scanning. The camera outputs raw depth frames, RGB video, and infrared streams simultaneously via USB 3.0, with native support for ROS, OpenCV, and custom C++ applications through Intel's comprehensive SDK. Built-in distortion correction and depth alignment algorithms reduce post-processing overhead, while the camera's passive infrared illumination ensures it operates safely in human-centric environments without eye safety concerns.
Key Specifications
| Specification | Details |
| Product Type | USB 3.0 Stereo Depth Camera with Infrared Structured Light |
| Brand | Intel RealSense |
| 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 | 640 x 480 pixels (VGA) |
| RGB Resolution | 640 x 480 pixels at 30 FPS |
| Depth Frame Rate | Up to 30 FPS |
| Minimum Working Distance | 0.1 meters (10 cm) |
| Maximum Working Distance | 6 meters (indoor, optimal lighting) |
| Field of View | 87 degrees (H) x 58 degrees (V) |
| Power Consumption | Under 1.5W typical operation |
| Interface | USB 3.0 Type-C |
| Depth Accuracy | ±2% at 1 meter distance |
Key Features
- Stereo Depth Sensing with Infrared Structured Light: Projects known IR patterns for robust depth calculation in textureless and low-light environments, eliminating passive stereo matching failures
- Exceptional Close-Range Performance: 0.1 meter minimum working distance enables detailed object scanning, hand gesture recognition, and tabletop robotic manipulation tasks
- Global Shutter Sensors: Eliminates motion blur and temporal artifacts when capturing fast-moving subjects, critical for drone navigation and dynamic scene analysis
- Simultaneous Multi-Stream Output: Delivers synchronized depth, RGB, and infrared streams in real-time through single USB 3.0 connection, reducing integration complexity
- Low Power Consumption: Under 1.5W operation enables battery-powered deployment on mobile robots, drones, and portable scanning devices without thermal throttling
- Native SDK Support: Comprehensive Intel RealSense SDK with OpenCV, ROS, and C++ bindings accelerates development for computer vision and robotics applications
Applications and Use Cases
- Autonomous Mobile Robotics: Provides real-time 3D obstacle detection and SLAM (Simultaneous Localization and Mapping) for indoor navigation, collision avoidance, and path planning in dynamic environments
- Gesture and Hand Recognition: Captures detailed hand pose and finger tracking at close range for touchless human-computer interaction, gaming controllers, and accessibility applications
- Object Detection and Bin Picking: Enables robotic arms to identify, localize, and grasp objects with precise depth information for warehouse automation and manufacturing pick-and-place operations
- 3D Scanning and Reconstruction: Generates high-fidelity point clouds for product inspection, quality control, and digital asset creation in manufacturing and e-commerce sectors
- Augmented Reality and Mixed Reality: Provides depth context for realistic virtual object placement, occlusion handling, and spatial understanding in AR/MR applications on edge devices
- Medical and Dental Imaging: Captures precise 3D surface geometry for surgical planning, dental modeling, and patient-specific device fabrication in clinical settings
How to Use
Begin by connecting the Intel RealSense D405 to a USB 3.0 port on your host computer or embedded system (Raspberry Pi 4, NVIDIA Jetson, or industrial PC). Install the Intel RealSense SDK 2.0 from the official repository, which includes device firmware updates and essential libraries. Launch the RealSense Viewer application to verify camera operation, calibrate depth alignment, and adjust infrared emitter intensity based on ambient lighting conditions. For development, import the librealsense library into your C++, Python, or ROS project, initialize the pipeline with depth and color streams at your desired resolution and frame rate, and retrieve synchronized depth frames using the get_frame() method.
Configure depth post-processing filters such as spatial smoothing, temporal filtering, and hole-filling to improve depth map quality in challenging lighting or reflective surfaces. When deploying in production, implement proper USB power management to ensure stable operation, validate depth accuracy using reference objects at known distances, and establish error handling for frame drops during high CPU load scenarios. For robotics applications, synchronize depth frames with IMU data or motor commands using timestamps embedded in each frame. Test your application across the full 0.1 to 6 meter working range and adjust camera placement to minimize IR interference from multiple RealSense cameras operating simultaneously.
Frequently Asked Questions
What is the difference between the D405 and other RealSense depth cameras like D435 or D455?
The D405 is optimized for close-range applications with a 0.1 meter minimum working distance compared to 0.3 meters on the D435, making it superior for hand gesture recognition and tabletop manipulation. The D405 uses a more compact form factor with lower power consumption, ideal for battery-powered drones and mobile robots. The D435 and D455 offer wider field of view and better performance at longer distances (up to 10 meters), making them better suited for large-scale SLAM and outdoor robotics. Choose D405 for embedded systems with power constraints and close-range precision requirements.
Can I use multiple D405 cameras simultaneously without infrared interference?
Yes, Intel RealSense cameras use temporally multiplexed infrared patterns that allow multiple units to operate in close proximity without cross-interference. However, when deploying more than 3-4 cameras in the same space, reduce the infrared emitter power using the RealSense SDK to minimize ambient IR saturation. Stagger camera mounting angles to prevent direct IR beam overlap, and monitor depth map quality using the Viewer application. In extreme multi-camera setups, consider hardware synchronization using the D405's GPIO pins or external trigger signals for coordinated frame capture.
What are the power requirements and can the D405 run on unpowered USB hubs?
The D405 consumes under 1.5W during normal operation but requires USB 3.0 SuperSpeed bandwidth (5 Gbps) for simultaneous depth and RGB streaming. While the camera draws minimal current, unpowered USB hubs may cause voltage sag under heavy system load. Use powered USB 3.0 hubs rated for at least 2A per port, or connect directly to host motherboard USB 3.0 headers for maximum stability. On Raspberry Pi 4 and Jetson devices, use external powered USB hubs as the onboard USB controller has limited power delivery capacity.
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.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
Buy Intel RealSense Depth Camera D405 Online in India
Purchase the Intel RealSense Depth Camera D405 online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on Intel RealSense Depth Camera D405 with fast shipping and expert support.
Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.
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You can pay through multiple payment options on theengineerstore.in the checkout page. You can pay through Credit/Debit Card, Internet Banking, Mobile Payments, Manual bank transfer, and Wallets. You can also apply a coupon that you might receive from The Engineer store or redeem The Engineer store points that you have earned from your previous purchases.
Cash on Delivery is offered theengineerstore.in and it is location dependent. Applicability of COD is determined by our system once you enter the pin-code of your area. Also the COD service is chargeable (Rs.25). It is charged by the shipping company for cash handlings.
Once you place a COD order, our executive will call you to confirm your order only after which your order will be processed.
It is best to prepay your order and buy confidently.
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