Intel D415 RealSense Depth Camera
- ୟୁନିଟ୍ ମୂଲ୍ୟ
- / ପ୍ରତି
Intel D415 RealSense Depth Camera
The Intel D415 RealSense Depth Camera is a compact stereoscopic depth sensing module that captures high-resolution RGB and depth data simultaneously, enabling real-time 3D scene understanding and spatial mapping. Roboticists, computer vision engineers, and autonomous system developers rely on this camera for obstacle detection, SLAM implementation, gesture recognition, and object tracking applications. It solves the critical challenge of enabling machines to perceive and interact with their environment in three dimensions without requiring external markers or calibration targets.
Product Overview
The Intel D415 utilizes advanced stereo vision technology with a pair of synchronized infrared cameras and a dedicated infrared projector to generate dense depth maps at 30 or 60 frames per second. The camera operates on the principle of active stereo matching, where the IR projector emits a structured light pattern that aids in texture-rich and texture-less surface depth computation. The D415 features a global shutter sensor with rolling shutter depth processing, delivering minimal motion artifacts and consistent performance across varying lighting conditions from indoor environments to outdoor daylight scenarios.
What distinguishes the D415 from competing depth sensors is its exceptional depth accuracy of ±2% at optimal range, combined with a wide 65-degree field of view that captures expansive scenes without requiring multiple camera units. The integrated USB 3.0 interface delivers uncompressed depth and color streams simultaneously, while the compact form factor measuring just 99x25x23mm makes it ideal for integration into robotic arms, drones, and mobile platforms. Native support for ROS, OpenCV, and Python through the librealsense SDK ensures rapid prototyping and deployment across diverse robotics and computer vision applications.
Key Specifications
| Specification | Details |
| Product Type | Stereoscopic Depth Camera with Infrared Projector |
| 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 | 1280x720 pixels at 30/60 fps |
| RGB Resolution | 1920x1080 pixels at 30 fps |
| Depth Accuracy | ±2% at 2 meters range |
| Field of View | 65 degrees horizontal, 40 degrees vertical |
| Minimum Depth Range | 0.16 meters |
| Maximum Depth Range | 10 meters (outdoor), 6 meters (indoor) |
| Interface | USB 3.0 Type-B connector |
| Power Consumption | 500mA typical operation |
| Dimensions | 99 x 25 x 23 mm |
Key Features
- Dual Infrared Stereo Cameras with synchronized global shutter sensors delivering consistent depth measurements without motion blur or temporal distortion
- Active Infrared Projector enabling reliable depth computation on textureless surfaces, featureless walls, and reflective materials where passive stereo fails
- High-Resolution Dual Streams capturing 1920x1080 RGB video and 1280x720 depth maps simultaneously at 30 or 60 fps for real-time processing
- Advanced Depth Post-Processing including temporal filtering, spatial edge-aware filtering, and hole-filling algorithms for clean, artifact-free depth data
- USB 3.0 Connectivity delivering 380 Mbps bandwidth for uncompressed streaming of depth and color data without compression artifacts
- Compact Industrial Form Factor measuring 99x25x23mm enabling seamless integration into robotic platforms, UAVs, and space-constrained applications
Applications and Use Cases
- Robotic Manipulation and Grasping: Enables collaborative robots and industrial arms to perceive object geometry, orientation, and position for precise pick-and-place operations with depth accuracy of ±2% ensuring reliable grasp planning
- Autonomous Navigation and SLAM: Provides dense real-time depth maps for simultaneous localization and mapping in mobile robots, drones, and autonomous vehicles operating in GPS-denied indoor environments
- Gesture Recognition and Human-Computer Interaction: Captures hand and body pose with sufficient depth resolution for touchless control systems, virtual reality controllers, and accessibility applications
- 3D Scene Reconstruction and Scanning: Generates high-fidelity point clouds for photogrammetry, 3D modeling, and volumetric capture in industrial inspection, cultural heritage documentation, and product design workflows
- Obstacle Detection and Collision Avoidance: Provides real-time depth sensing for autonomous mobile robots to detect and navigate around dynamic obstacles with minimal latency
- Quality Inspection and Defect Detection: Enables machine vision systems to identify surface defects, dimensional variations, and assembly errors through precise 3D depth analysis
How to Use
Begin by connecting the Intel D415 to your host computer via the USB 3.0 Type-B connector. Install the librealsense SDK from GitHub or your Linux package manager, then load the camera firmware if prompted. Initialize the camera in your application using the Python wrapper or C++ API by creating a pipeline object, configuring depth and color streams to your desired resolution and frame rate, and starting the pipeline. The camera will begin streaming synchronized depth and RGB frames immediately. For ROS integration, launch the realsense-ros package with appropriate configuration parameters for your specific robotics application.
When deploying the D415, position it to maximize the field of view coverage of your target scene, ensuring the infrared projector has unobstructed line-of-sight to surfaces you wish to measure. For outdoor operation, consider reducing ambient infrared interference by adjusting laser power settings in the librealsense API. Apply temporal and spatial filtering post-processing to reduce depth noise, especially in low-texture environments. Calibrate the camera extrinsics if using multiple D415 units or combining with other sensors for multi-modal perception. Verify depth accuracy at your typical operating range using the provided depth quality tools before deploying to production robotic systems.
Frequently Asked Questions
What is the difference between Intel D415 and D435 depth cameras?
The D415 features a narrower 65-degree field of view compared to the D435's 87-degree FOV, making it ideal for focused applications requiring higher depth resolution in a smaller area. The D415 has superior depth accuracy of ±2% versus the D435's ±2-3%, and its global shutter sensors eliminate motion blur in fast-moving robotic applications. The D435 offers wider environmental coverage but with slightly lower depth precision, making the D415 the preferred choice for precision robotic manipulation and high-accuracy 3D reconstruction tasks.
Can the Intel D415 work outdoors in sunlight?
Yes, the D415 operates effectively in outdoor daylight conditions, though the maximum effective depth range reduces from 10 meters indoors to approximately 6-8 meters outdoors due to ambient infrared interference from sunlight. The camera includes automatic infrared laser power adjustment to compensate for outdoor lighting. For optimal outdoor performance, position the camera to minimize direct sunlight on the lens and consider using the depth post-processing filters to reduce noise artifacts caused by strong IR backgrounds.
What programming languages and frameworks are supported?
The Intel D415 is fully supported by the librealsense SDK, which provides native bindings for C++, Python, C#, and Java. It integrates seamlessly with ROS (Robot Operating System) through the realsense-ros package, OpenCV for computer vision processing, and PCL (Point Cloud Library) for 3D data manipulation. The camera also supports MATLAB, LabVIEW, and custom applications through the low-level USB API, making it compatible with virtually all modern robotics and vision development environments.
What is the power consumption and can it run on battery?
The D415 consumes approximately 500mA at 5V during normal operation, drawing roughly 2.5 watts. It can operate from any USB 3.0 power source or external 5V supply. For battery-powered applications like drones or mobile robots, a 5000mAh USB power bank provides approximately 10 hours of continuous operation. Ensure your USB cable is high-quality with minimal voltage drop, as inadequate power delivery may cause intermittent depth stream failures or reduced frame rates.
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 D415 RealSense Depth Camera Online in India
Purchase the Intel D415 RealSense Depth Camera 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 D415 RealSense Depth Camera 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 D415 RealSense Depth Camera
- ୟୁନିଟ୍ ମୂଲ୍ୟ
- / ପ୍ରତି
ତୁମର କାର୍ଟରେ ଉତ୍ପାଦ ଯୋଗ କରିବା |
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Intel D415 RealSense Depth Camera
The Intel D415 RealSense Depth Camera is a compact stereoscopic depth sensing module that captures high-resolution RGB and depth data simultaneously, enabling real-time 3D scene understanding and spatial mapping. Roboticists, computer vision engineers, and autonomous system developers rely on this camera for obstacle detection, SLAM implementation, gesture recognition, and object tracking applications. It solves the critical challenge of enabling machines to perceive and interact with their environment in three dimensions without requiring external markers or calibration targets.
Product Overview
The Intel D415 utilizes advanced stereo vision technology with a pair of synchronized infrared cameras and a dedicated infrared projector to generate dense depth maps at 30 or 60 frames per second. The camera operates on the principle of active stereo matching, where the IR projector emits a structured light pattern that aids in texture-rich and texture-less surface depth computation. The D415 features a global shutter sensor with rolling shutter depth processing, delivering minimal motion artifacts and consistent performance across varying lighting conditions from indoor environments to outdoor daylight scenarios.
What distinguishes the D415 from competing depth sensors is its exceptional depth accuracy of ±2% at optimal range, combined with a wide 65-degree field of view that captures expansive scenes without requiring multiple camera units. The integrated USB 3.0 interface delivers uncompressed depth and color streams simultaneously, while the compact form factor measuring just 99x25x23mm makes it ideal for integration into robotic arms, drones, and mobile platforms. Native support for ROS, OpenCV, and Python through the librealsense SDK ensures rapid prototyping and deployment across diverse robotics and computer vision applications.
Key Specifications
| Specification | Details |
| Product Type | Stereoscopic Depth Camera with Infrared Projector |
| 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 | 1280x720 pixels at 30/60 fps |
| RGB Resolution | 1920x1080 pixels at 30 fps |
| Depth Accuracy | ±2% at 2 meters range |
| Field of View | 65 degrees horizontal, 40 degrees vertical |
| Minimum Depth Range | 0.16 meters |
| Maximum Depth Range | 10 meters (outdoor), 6 meters (indoor) |
| Interface | USB 3.0 Type-B connector |
| Power Consumption | 500mA typical operation |
| Dimensions | 99 x 25 x 23 mm |
Key Features
- Dual Infrared Stereo Cameras with synchronized global shutter sensors delivering consistent depth measurements without motion blur or temporal distortion
- Active Infrared Projector enabling reliable depth computation on textureless surfaces, featureless walls, and reflective materials where passive stereo fails
- High-Resolution Dual Streams capturing 1920x1080 RGB video and 1280x720 depth maps simultaneously at 30 or 60 fps for real-time processing
- Advanced Depth Post-Processing including temporal filtering, spatial edge-aware filtering, and hole-filling algorithms for clean, artifact-free depth data
- USB 3.0 Connectivity delivering 380 Mbps bandwidth for uncompressed streaming of depth and color data without compression artifacts
- Compact Industrial Form Factor measuring 99x25x23mm enabling seamless integration into robotic platforms, UAVs, and space-constrained applications
Applications and Use Cases
- Robotic Manipulation and Grasping: Enables collaborative robots and industrial arms to perceive object geometry, orientation, and position for precise pick-and-place operations with depth accuracy of ±2% ensuring reliable grasp planning
- Autonomous Navigation and SLAM: Provides dense real-time depth maps for simultaneous localization and mapping in mobile robots, drones, and autonomous vehicles operating in GPS-denied indoor environments
- Gesture Recognition and Human-Computer Interaction: Captures hand and body pose with sufficient depth resolution for touchless control systems, virtual reality controllers, and accessibility applications
- 3D Scene Reconstruction and Scanning: Generates high-fidelity point clouds for photogrammetry, 3D modeling, and volumetric capture in industrial inspection, cultural heritage documentation, and product design workflows
- Obstacle Detection and Collision Avoidance: Provides real-time depth sensing for autonomous mobile robots to detect and navigate around dynamic obstacles with minimal latency
- Quality Inspection and Defect Detection: Enables machine vision systems to identify surface defects, dimensional variations, and assembly errors through precise 3D depth analysis
How to Use
Begin by connecting the Intel D415 to your host computer via the USB 3.0 Type-B connector. Install the librealsense SDK from GitHub or your Linux package manager, then load the camera firmware if prompted. Initialize the camera in your application using the Python wrapper or C++ API by creating a pipeline object, configuring depth and color streams to your desired resolution and frame rate, and starting the pipeline. The camera will begin streaming synchronized depth and RGB frames immediately. For ROS integration, launch the realsense-ros package with appropriate configuration parameters for your specific robotics application.
When deploying the D415, position it to maximize the field of view coverage of your target scene, ensuring the infrared projector has unobstructed line-of-sight to surfaces you wish to measure. For outdoor operation, consider reducing ambient infrared interference by adjusting laser power settings in the librealsense API. Apply temporal and spatial filtering post-processing to reduce depth noise, especially in low-texture environments. Calibrate the camera extrinsics if using multiple D415 units or combining with other sensors for multi-modal perception. Verify depth accuracy at your typical operating range using the provided depth quality tools before deploying to production robotic systems.
Frequently Asked Questions
What is the difference between Intel D415 and D435 depth cameras?
The D415 features a narrower 65-degree field of view compared to the D435's 87-degree FOV, making it ideal for focused applications requiring higher depth resolution in a smaller area. The D415 has superior depth accuracy of ±2% versus the D435's ±2-3%, and its global shutter sensors eliminate motion blur in fast-moving robotic applications. The D435 offers wider environmental coverage but with slightly lower depth precision, making the D415 the preferred choice for precision robotic manipulation and high-accuracy 3D reconstruction tasks.
Can the Intel D415 work outdoors in sunlight?
Yes, the D415 operates effectively in outdoor daylight conditions, though the maximum effective depth range reduces from 10 meters indoors to approximately 6-8 meters outdoors due to ambient infrared interference from sunlight. The camera includes automatic infrared laser power adjustment to compensate for outdoor lighting. For optimal outdoor performance, position the camera to minimize direct sunlight on the lens and consider using the depth post-processing filters to reduce noise artifacts caused by strong IR backgrounds.
What programming languages and frameworks are supported?
The Intel D415 is fully supported by the librealsense SDK, which provides native bindings for C++, Python, C#, and Java. It integrates seamlessly with ROS (Robot Operating System) through the realsense-ros package, OpenCV for computer vision processing, and PCL (Point Cloud Library) for 3D data manipulation. The camera also supports MATLAB, LabVIEW, and custom applications through the low-level USB API, making it compatible with virtually all modern robotics and vision development environments.
What is the power consumption and can it run on battery?
The D415 consumes approximately 500mA at 5V during normal operation, drawing roughly 2.5 watts. It can operate from any USB 3.0 power source or external 5V supply. For battery-powered applications like drones or mobile robots, a 5000mAh USB power bank provides approximately 10 hours of continuous operation. Ensure your USB cable is high-quality with minimal voltage drop, as inadequate power delivery may cause intermittent depth stream failures or reduced frame rates.
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 D415 RealSense Depth Camera Online in India
Purchase the Intel D415 RealSense Depth Camera 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 D415 RealSense Depth Camera 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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