Intel RealSense Depth Camera D457
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Intel RealSense Depth Camera D457
The Intel RealSense Depth Camera D457 is a compact USB 3.1 stereo depth camera engineered for machine vision, robotics, and 3D scanning applications requiring high-resolution depth perception. Professional developers, roboticists, and computer vision engineers utilize this camera to build autonomous systems, gesture recognition interfaces, and industrial inspection solutions. This device solves the critical challenge of accurate 3D spatial understanding in real-time environments by delivering synchronized RGB and depth data at 30 fps with sub-millimeter precision.
Product Overview
The D457 employs Intel's patented stereo depth technology with active infrared projection to compute dense depth maps independent of ambient lighting conditions. The camera features a 1280x720 resolution RGB sensor paired with a synchronized stereo depth module, delivering depth accuracy of ±2% at working distances. The integrated stereo matching algorithm processes depth data at the hardware level, minimizing computational overhead on host systems and enabling real-time performance on edge devices. This architecture makes the D457 exceptionally suitable for outdoor applications and industrial environments where lighting variability would challenge passive stereo systems.
The D457 distinguishes itself through its compact form factor, low power consumption (under 1.5W typical), and native USB 3.1 connectivity requiring no external power supply. The camera outputs synchronized depth and RGB streams via the RealSense SDK, which provides cross-platform support for Windows, Linux, and macOS. The device incorporates advanced features including temporal filtering, spatial filtering, and hole-filling algorithms that enhance depth map quality without requiring post-processing on the host system. Its robust construction and sealed optical path make it suitable for deployment in manufacturing floors, agricultural automation, and autonomous mobile robotics platforms.
Key Specifications
| Specification | Details |
| Product Type | USB 3.1 Stereo Depth Camera |
| 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 |
| RGB Resolution | 1280 x 720 pixels at 30 fps |
| Depth Resolution | 1280 x 720 pixels at 30 fps |
| Depth Accuracy | ±2% at 1 meter working distance |
| Field of View | 87 degrees horizontal x 58 degrees vertical |
| Working Distance | 0.1 to 6 meters optimal range |
| Power Consumption | Typical 1.5W, Maximum 2.5W |
| Interface | USB 3.1 Gen 1 Type-C |
Key Features
- Stereo Depth Technology: Dual synchronized stereo sensors with active infrared projection deliver accurate 3D depth maps at 30 fps with sub-millimeter precision independent of ambient lighting
- High Resolution Output: 1280x720 RGB and depth streams provide sufficient detail for object recognition, pose estimation, and precise spatial measurement tasks
- Low Power USB 3.1: Single USB Type-C connection eliminates need for external power supplies, enabling deployment on battery-powered robots and portable systems
- Hardware-Accelerated Processing: Integrated stereo matching and depth filtering algorithms reduce computational load on host processors by 60-70 percent compared to software-based solutions
- RealSense SDK Integration: Cross-platform software development kit with pre-built filters, calibration tools, and sample code accelerates development cycles for computer vision applications
- Robust Optical Design: Sealed optical path and industrial-grade construction withstand factory floor vibration, temperature fluctuations, and dust exposure
Applications and Use Cases
- Robotic Pick and Place: Enable collaborative robots to detect object dimensions and grasp points with millimeter accuracy for warehouse automation and manufacturing assembly lines
- Autonomous Navigation: Provide real-time obstacle detection and SLAM mapping for autonomous mobile robots operating in indoor warehouses and outdoor agricultural fields
- 3D Scanning and Reconstruction: Capture dense point clouds for quality inspection, reverse engineering, and digital twin creation in industrial metrology workflows
- Gesture Recognition and HCI: Build touchless human-computer interfaces for medical facilities, food processing plants, and retail environments requiring hygiene compliance
- Industrial Defect Detection: Integrate depth data with machine learning models to identify surface irregularities, dimensional deviations, and assembly errors on production lines
- Autonomous Vehicle Perception: Support LiDAR-complementary depth sensing for obstacle avoidance and lane detection in autonomous ground vehicles and delivery drones
How to Use
Begin by connecting the Intel RealSense D457 to your host computer via USB 3.1 Type-C port. Install the latest RealSense SDK from Intel's official repository compatible with your operating system (Windows, Linux, or macOS). Launch the RealSense Viewer application to verify camera functionality, inspect RGB and depth stream quality, and perform factory calibration validation. The viewer displays real-time depth maps with adjustable visualization parameters including confidence thresholding, temporal filtering strength, and spatial filtering radius. Verify that depth values appear continuous without excessive noise or missing data regions before proceeding to application development.
For custom application development, utilize the RealSense C++ or Python API to access synchronized RGB-D frames within your computer vision pipeline. Implement the pipeline configuration to set resolution, frame rate, and enable hardware-accelerated filters such as temporal edge-aware filtering and hole-filling. Calibrate camera intrinsic and extrinsic parameters using the provided calibration tools if integrating multiple cameras or requiring submillimeter absolute accuracy. Test your application in the actual deployment environment to validate depth performance under target lighting conditions, working distances, and surface reflectivity characteristics. For production deployments, implement error handling for USB connection losses and frame drops, and configure automatic camera reinitialization upon power cycle.
Frequently Asked Questions
What is the maximum working distance and how does depth accuracy degrade with distance?
The D457 maintains optimal performance between 0.1 to 6 meters, with depth accuracy of approximately ±2 percent at 1 meter. Beyond 6 meters, depth accuracy degrades to ±5 percent, and the stereo matching algorithm may fail to compute valid depth values for textureless surfaces or objects with insufficient parallax. For applications requiring extended range, consider supplementing with Intel RealSense L515 LiDAR camera or multiple D457 units positioned strategically.
Can the D457 operate outdoors in direct sunlight?
The D457 uses active infrared stereo matching, making it more robust to ambient lighting than passive stereo cameras. However, direct sunlight can saturate the infrared sensors, causing depth computation failures in bright outdoor environments. For outdoor applications, mount the camera with sun shades, use polarizing filters on the infrared emitters, or integrate temporal filtering to reject invalid depth frames. Testing in your specific outdoor lighting conditions is essential before production deployment.
What is the latency between RGB frame capture and corresponding depth frame output?
The D457 maintains synchronized RGB and depth streams with latency below 33 milliseconds at 30 fps operation. The stereo matching algorithm introduces approximately 5-10 milliseconds of processing delay. For time-critical applications such as fast-moving robot control, implement frame buffering and timestamp-based synchronization to account for USB transmission variability. The RealSense SDK provides frame timestamps accurate to microsecond precision for temporal alignment with external sensor data.
Does the D457 require calibration before use?
The D457 ships factory-calibrated with intrinsic and stereo baseline parameters stored in onboard memory. Factory calibration is sufficient for most applications. However, if you observe systematic depth errors or are integrating multiple cameras, perform recalibration using the RealSense calibration tool with a checkerboard pattern at multiple distances. Custom calibration improves absolute accuracy to ±1 percent but is optional for relative depth measurements and obstacle detection tasks.
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 D457 Online in India
Purchase the Intel RealSense Depth Camera D457 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 D457 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 D457
- ୟୁନିଟ୍ ମୂଲ୍ୟ
- / ପ୍ରତି
ତୁମର କାର୍ଟରେ ଉତ୍ପାଦ ଯୋଗ କରିବା |
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Intel RealSense Depth Camera D457
The Intel RealSense Depth Camera D457 is a compact USB 3.1 stereo depth camera engineered for machine vision, robotics, and 3D scanning applications requiring high-resolution depth perception. Professional developers, roboticists, and computer vision engineers utilize this camera to build autonomous systems, gesture recognition interfaces, and industrial inspection solutions. This device solves the critical challenge of accurate 3D spatial understanding in real-time environments by delivering synchronized RGB and depth data at 30 fps with sub-millimeter precision.
Product Overview
The D457 employs Intel's patented stereo depth technology with active infrared projection to compute dense depth maps independent of ambient lighting conditions. The camera features a 1280x720 resolution RGB sensor paired with a synchronized stereo depth module, delivering depth accuracy of ±2% at working distances. The integrated stereo matching algorithm processes depth data at the hardware level, minimizing computational overhead on host systems and enabling real-time performance on edge devices. This architecture makes the D457 exceptionally suitable for outdoor applications and industrial environments where lighting variability would challenge passive stereo systems.
The D457 distinguishes itself through its compact form factor, low power consumption (under 1.5W typical), and native USB 3.1 connectivity requiring no external power supply. The camera outputs synchronized depth and RGB streams via the RealSense SDK, which provides cross-platform support for Windows, Linux, and macOS. The device incorporates advanced features including temporal filtering, spatial filtering, and hole-filling algorithms that enhance depth map quality without requiring post-processing on the host system. Its robust construction and sealed optical path make it suitable for deployment in manufacturing floors, agricultural automation, and autonomous mobile robotics platforms.
Key Specifications
| Specification | Details |
| Product Type | USB 3.1 Stereo Depth Camera |
| 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 |
| RGB Resolution | 1280 x 720 pixels at 30 fps |
| Depth Resolution | 1280 x 720 pixels at 30 fps |
| Depth Accuracy | ±2% at 1 meter working distance |
| Field of View | 87 degrees horizontal x 58 degrees vertical |
| Working Distance | 0.1 to 6 meters optimal range |
| Power Consumption | Typical 1.5W, Maximum 2.5W |
| Interface | USB 3.1 Gen 1 Type-C |
Key Features
- Stereo Depth Technology: Dual synchronized stereo sensors with active infrared projection deliver accurate 3D depth maps at 30 fps with sub-millimeter precision independent of ambient lighting
- High Resolution Output: 1280x720 RGB and depth streams provide sufficient detail for object recognition, pose estimation, and precise spatial measurement tasks
- Low Power USB 3.1: Single USB Type-C connection eliminates need for external power supplies, enabling deployment on battery-powered robots and portable systems
- Hardware-Accelerated Processing: Integrated stereo matching and depth filtering algorithms reduce computational load on host processors by 60-70 percent compared to software-based solutions
- RealSense SDK Integration: Cross-platform software development kit with pre-built filters, calibration tools, and sample code accelerates development cycles for computer vision applications
- Robust Optical Design: Sealed optical path and industrial-grade construction withstand factory floor vibration, temperature fluctuations, and dust exposure
Applications and Use Cases
- Robotic Pick and Place: Enable collaborative robots to detect object dimensions and grasp points with millimeter accuracy for warehouse automation and manufacturing assembly lines
- Autonomous Navigation: Provide real-time obstacle detection and SLAM mapping for autonomous mobile robots operating in indoor warehouses and outdoor agricultural fields
- 3D Scanning and Reconstruction: Capture dense point clouds for quality inspection, reverse engineering, and digital twin creation in industrial metrology workflows
- Gesture Recognition and HCI: Build touchless human-computer interfaces for medical facilities, food processing plants, and retail environments requiring hygiene compliance
- Industrial Defect Detection: Integrate depth data with machine learning models to identify surface irregularities, dimensional deviations, and assembly errors on production lines
- Autonomous Vehicle Perception: Support LiDAR-complementary depth sensing for obstacle avoidance and lane detection in autonomous ground vehicles and delivery drones
How to Use
Begin by connecting the Intel RealSense D457 to your host computer via USB 3.1 Type-C port. Install the latest RealSense SDK from Intel's official repository compatible with your operating system (Windows, Linux, or macOS). Launch the RealSense Viewer application to verify camera functionality, inspect RGB and depth stream quality, and perform factory calibration validation. The viewer displays real-time depth maps with adjustable visualization parameters including confidence thresholding, temporal filtering strength, and spatial filtering radius. Verify that depth values appear continuous without excessive noise or missing data regions before proceeding to application development.
For custom application development, utilize the RealSense C++ or Python API to access synchronized RGB-D frames within your computer vision pipeline. Implement the pipeline configuration to set resolution, frame rate, and enable hardware-accelerated filters such as temporal edge-aware filtering and hole-filling. Calibrate camera intrinsic and extrinsic parameters using the provided calibration tools if integrating multiple cameras or requiring submillimeter absolute accuracy. Test your application in the actual deployment environment to validate depth performance under target lighting conditions, working distances, and surface reflectivity characteristics. For production deployments, implement error handling for USB connection losses and frame drops, and configure automatic camera reinitialization upon power cycle.
Frequently Asked Questions
What is the maximum working distance and how does depth accuracy degrade with distance?
The D457 maintains optimal performance between 0.1 to 6 meters, with depth accuracy of approximately ±2 percent at 1 meter. Beyond 6 meters, depth accuracy degrades to ±5 percent, and the stereo matching algorithm may fail to compute valid depth values for textureless surfaces or objects with insufficient parallax. For applications requiring extended range, consider supplementing with Intel RealSense L515 LiDAR camera or multiple D457 units positioned strategically.
Can the D457 operate outdoors in direct sunlight?
The D457 uses active infrared stereo matching, making it more robust to ambient lighting than passive stereo cameras. However, direct sunlight can saturate the infrared sensors, causing depth computation failures in bright outdoor environments. For outdoor applications, mount the camera with sun shades, use polarizing filters on the infrared emitters, or integrate temporal filtering to reject invalid depth frames. Testing in your specific outdoor lighting conditions is essential before production deployment.
What is the latency between RGB frame capture and corresponding depth frame output?
The D457 maintains synchronized RGB and depth streams with latency below 33 milliseconds at 30 fps operation. The stereo matching algorithm introduces approximately 5-10 milliseconds of processing delay. For time-critical applications such as fast-moving robot control, implement frame buffering and timestamp-based synchronization to account for USB transmission variability. The RealSense SDK provides frame timestamps accurate to microsecond precision for temporal alignment with external sensor data.
Does the D457 require calibration before use?
The D457 ships factory-calibrated with intrinsic and stereo baseline parameters stored in onboard memory. Factory calibration is sufficient for most applications. However, if you observe systematic depth errors or are integrating multiple cameras, perform recalibration using the RealSense calibration tool with a checkerboard pattern at multiple distances. Custom calibration improves absolute accuracy to ±1 percent but is optional for relative depth measurements and obstacle detection tasks.
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 D457 Online in India
Purchase the Intel RealSense Depth Camera D457 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 D457 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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