Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano
- ୟୁନିଟ୍ ମୂଲ୍ୟ
- / ପ୍ରତି
Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano
The Arducam B0217J8 is a professional-grade dual 8MP synchronized stereo camera module designed specifically for NVIDIA Jetson Nano development boards, enabling real-time 3D depth perception and stereo vision applications. This bundle kit is widely used by roboticists, computer vision engineers, and autonomous system developers who require synchronized binocular imaging with minimal latency for depth mapping and object detection tasks. It solves the critical challenge of implementing cost-effective stereo vision on edge computing platforms by providing hardware-synchronized dual camera feeds that eliminate temporal misalignment issues common in software-synchronized solutions.
Product Overview
The Arducam B0217J8 bundle delivers two identical 8MP camera modules mounted on a precision stereo rig with fixed baseline geometry optimized for depth calculation accuracy. Each camera sensor operates at synchronized frame rates through dedicated hardware triggering, ensuring pixel-perfect temporal alignment essential for stereo matching algorithms. The synchronized dual-camera architecture eliminates the rolling shutter artifacts and frame desynchronization that plague software-synchronized solutions, providing superior depth map quality for applications requiring sub-centimeter accuracy in 3D reconstruction and obstacle detection.
The bundle includes everything needed for immediate deployment: dual 8MP camera modules with global shutter sensors, pre-calibrated stereo baseline mounting bracket, dual 15-pin CSI ribbon cables compatible with Jetson Nano's dual camera ports, comprehensive calibration data files, and complete software libraries with OpenCV integration. The cameras feature 1/3.2-inch sensors with 3280x2464 pixel resolution, delivering exceptional detail capture for close-range stereo analysis. Built-in hardware synchronization eliminates frame timing errors, while the included calibration matrices enable plug-and-play depth computation without additional calibration overhead.
Key Specifications
| Specification | Details |
| Product Type | Dual Synchronized Stereo Camera Module Bundle |
| Brand | Arducam |
| Model Number | B0217J8 |
| 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 |
| Camera Resolution | 8MP per module (3280x2464 pixels) |
| Sensor Type | 1/3.2-inch Global Shutter CMOS |
| Synchronization | Hardware-synchronized dual feed |
| Interface | Dual 15-pin CSI ribbon connectors for Jetson Nano |
| Frame Rate | Up to 30 FPS synchronized at full resolution |
| Stereo Baseline | Pre-calibrated fixed geometry |
| Focal Length | 3.6mm wide-angle lens per module |
| Field of View | Approximately 160 degrees horizontal |
Key Features
- Hardware-Synchronized Dual Cameras: Dedicated synchronization circuitry ensures frame-perfect alignment between left and right camera feeds, eliminating temporal misalignment errors critical for stereo depth computation accuracy
- 8MP High-Resolution Sensors: 3280x2464 pixel global shutter CMOS sensors capture fine detail essential for close-range stereo analysis and precise 3D reconstruction in robotics applications
- Pre-Calibrated Stereo Baseline: Factory-calibrated stereo geometry with included calibration matrices enables immediate depth map generation without additional calibration procedures
- Jetson Nano Native Integration: Dual CSI ribbon cables connect directly to Jetson Nano's dual camera ports with full driver support and optimized software libraries
- Global Shutter Technology: Eliminates rolling shutter artifacts that compromise stereo matching quality, ensuring consistent image capture across the entire sensor simultaneously
- Wide-Angle Dual Lenses: 160-degree field of view per module maximizes stereo baseline effectiveness while maintaining compact form factor for robotics integration
Applications and Use Cases
- Autonomous Robot Navigation: Deploy real-time obstacle detection and SLAM (Simultaneous Localization and Mapping) on mobile robots using synchronized stereo depth perception for autonomous path planning and collision avoidance
- 3D Object Detection and Recognition: Implement depth-aware computer vision pipelines for robotic picking, gesture recognition, and spatial analysis in industrial automation and service robotics
- Depth Mapping and 3D Reconstruction: Generate accurate point clouds and 3D models for environmental scanning, volumetric analysis, and spatial mapping in research and industrial applications
- Biometric and Gesture Analysis: Capture synchronized stereo imagery for facial recognition, hand gesture tracking, and human-computer interaction systems with enhanced depth discrimination
- Agricultural and Environmental Monitoring: Deploy synchronized stereo imaging for crop health analysis, precision agriculture applications, and environmental data collection on edge computing platforms
- Educational Robotics and Research: Perfect for computer vision research, machine learning model training, and educational projects requiring professional-grade stereo imaging on budget-constrained platforms
How to Use
Begin by physically mounting the dual camera modules on your Jetson Nano using the provided stereo baseline bracket, ensuring the fixed baseline geometry remains undisturbed as this directly impacts depth calculation accuracy. Connect the 15-pin CSI ribbon cables from each camera module to the dual camera ports on your Jetson Nano development board, ensuring connectors are fully seated and latched. Install the Arducam software libraries and drivers on your Jetson Nano running JetPack OS by downloading the official Arducam SDK from their GitHub repository and following the hardware-specific installation instructions for dual camera configuration.
Load the pre-calibrated stereo calibration matrices provided in the bundle into your stereo vision software pipeline using OpenCV's stereo matching functions or ROS stereo_image_proc packages. Configure your application to read synchronized frames from both camera feeds simultaneously using the hardware synchronization protocol, then apply rectification transforms using the calibration data before running stereo matching algorithms like Semi-Global Matching or Block Matching for depth map generation. Test the synchronization by capturing frame timestamps from both cameras simultaneously to verify zero-latency alignment, then validate depth accuracy using known reference objects at various distances before deploying in production robotics applications.
Frequently Asked Questions
What is hardware synchronization and why does it matter for stereo vision?
Hardware synchronization uses dedicated electronic circuits to trigger both camera sensors simultaneously at the pixel level, ensuring both cameras capture their respective frames at exactly the same moment. This is critical for stereo vision because any temporal misalignment between left and right frames introduces errors in stereo matching algorithms, resulting in incorrect or missing depth values. Software-synchronized solutions introduce 10-50ms latency differences between frames, making them unsuitable for real-time robotics. The Arducam B0217J8 achieves microsecond-level synchronization accuracy, enabling reliable depth computation even with fast-moving objects or dynamic scenes.
Can I use this stereo camera bundle with other Jetson platforms besides Nano?
The B0217J8 is specifically designed for Jetson Nano's dual CSI camera ports. While other Jetson platforms like Jetson Xavier NX or Jetson AGX Orin have CSI ports, they may require adapter cables or different mounting solutions. We recommend verifying CSI port compatibility with your specific Jetson model before purchase. The camera modules themselves are platform-agnostic, but the pre-calibrated baseline geometry and software libraries are optimized for Jetson Nano's camera interface specifications and processing capabilities.
What depth range and accuracy can I expect from this stereo camera system?
The effective depth range depends on baseline length, focal length, and disparity resolution. With the Arducam B0217J8's pre-calibrated baseline and 3.6mm lenses, typical working range is 0.2 meters to 3 meters with centimeter-level accuracy for objects within 1 meter. Beyond 3 meters, depth accuracy degrades as stereo matching becomes ambiguous. Actual performance depends on scene texture, lighting conditions, and the stereo matching algorithm used. Global shutter sensors eliminate rolling shutter artifacts that would otherwise degrade depth maps in dynamic scenes, providing consistent accuracy across varying lighting and motion conditions.
Are the cameras pre-calibrated, or do I need to perform calibration myself?
The Arducam B0217J8 bundle includes factory-calibrated stereo matrices covering intrinsic camera parameters, distortion coefficients, and relative pose geometry. These pre-computed calibration files enable immediate depth map generation without additional calibration. However, if cameras are physically damaged, baseline geometry is altered, or you require custom calibration for specialized applications, you can recalibrate using standard OpenCV calibration procedures with a checkerboard pattern. The pre-calibration significantly reduces setup time and is suitable for most robotics and computer vision applications.
What software libraries and programming languages are supported?
The bundle includes comprehensive support for Python and C++ through OpenCV integration, ROS stereo_image_proc packages, and Arducam's native SDK. The included software libraries provide direct access to synchronized frame capture, calibration data loading, and basic stereo matching implementations. You can build custom applications using OpenCV's stereo matching algorithms, implement SLAM using ORB-SLAM2 or similar frameworks, or integrate with ROS for robotics applications. Full source code examples and documentation are provided for all supported platforms and programming languages.
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
Buy Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano Online in India
Purchase the Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano 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.
Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.
Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano
- ୟୁନିଟ୍ ମୂଲ୍ୟ
- / ପ୍ରତି
ତୁମର କାର୍ଟରେ ଉତ୍ପାଦ ଯୋଗ କରିବା |
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Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano
The Arducam B0217J8 is a professional-grade dual 8MP synchronized stereo camera module designed specifically for NVIDIA Jetson Nano development boards, enabling real-time 3D depth perception and stereo vision applications. This bundle kit is widely used by roboticists, computer vision engineers, and autonomous system developers who require synchronized binocular imaging with minimal latency for depth mapping and object detection tasks. It solves the critical challenge of implementing cost-effective stereo vision on edge computing platforms by providing hardware-synchronized dual camera feeds that eliminate temporal misalignment issues common in software-synchronized solutions.
Product Overview
The Arducam B0217J8 bundle delivers two identical 8MP camera modules mounted on a precision stereo rig with fixed baseline geometry optimized for depth calculation accuracy. Each camera sensor operates at synchronized frame rates through dedicated hardware triggering, ensuring pixel-perfect temporal alignment essential for stereo matching algorithms. The synchronized dual-camera architecture eliminates the rolling shutter artifacts and frame desynchronization that plague software-synchronized solutions, providing superior depth map quality for applications requiring sub-centimeter accuracy in 3D reconstruction and obstacle detection.
The bundle includes everything needed for immediate deployment: dual 8MP camera modules with global shutter sensors, pre-calibrated stereo baseline mounting bracket, dual 15-pin CSI ribbon cables compatible with Jetson Nano's dual camera ports, comprehensive calibration data files, and complete software libraries with OpenCV integration. The cameras feature 1/3.2-inch sensors with 3280x2464 pixel resolution, delivering exceptional detail capture for close-range stereo analysis. Built-in hardware synchronization eliminates frame timing errors, while the included calibration matrices enable plug-and-play depth computation without additional calibration overhead.
Key Specifications
| Specification | Details |
| Product Type | Dual Synchronized Stereo Camera Module Bundle |
| Brand | Arducam |
| Model Number | B0217J8 |
| 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 |
| Camera Resolution | 8MP per module (3280x2464 pixels) |
| Sensor Type | 1/3.2-inch Global Shutter CMOS |
| Synchronization | Hardware-synchronized dual feed |
| Interface | Dual 15-pin CSI ribbon connectors for Jetson Nano |
| Frame Rate | Up to 30 FPS synchronized at full resolution |
| Stereo Baseline | Pre-calibrated fixed geometry |
| Focal Length | 3.6mm wide-angle lens per module |
| Field of View | Approximately 160 degrees horizontal |
Key Features
- Hardware-Synchronized Dual Cameras: Dedicated synchronization circuitry ensures frame-perfect alignment between left and right camera feeds, eliminating temporal misalignment errors critical for stereo depth computation accuracy
- 8MP High-Resolution Sensors: 3280x2464 pixel global shutter CMOS sensors capture fine detail essential for close-range stereo analysis and precise 3D reconstruction in robotics applications
- Pre-Calibrated Stereo Baseline: Factory-calibrated stereo geometry with included calibration matrices enables immediate depth map generation without additional calibration procedures
- Jetson Nano Native Integration: Dual CSI ribbon cables connect directly to Jetson Nano's dual camera ports with full driver support and optimized software libraries
- Global Shutter Technology: Eliminates rolling shutter artifacts that compromise stereo matching quality, ensuring consistent image capture across the entire sensor simultaneously
- Wide-Angle Dual Lenses: 160-degree field of view per module maximizes stereo baseline effectiveness while maintaining compact form factor for robotics integration
Applications and Use Cases
- Autonomous Robot Navigation: Deploy real-time obstacle detection and SLAM (Simultaneous Localization and Mapping) on mobile robots using synchronized stereo depth perception for autonomous path planning and collision avoidance
- 3D Object Detection and Recognition: Implement depth-aware computer vision pipelines for robotic picking, gesture recognition, and spatial analysis in industrial automation and service robotics
- Depth Mapping and 3D Reconstruction: Generate accurate point clouds and 3D models for environmental scanning, volumetric analysis, and spatial mapping in research and industrial applications
- Biometric and Gesture Analysis: Capture synchronized stereo imagery for facial recognition, hand gesture tracking, and human-computer interaction systems with enhanced depth discrimination
- Agricultural and Environmental Monitoring: Deploy synchronized stereo imaging for crop health analysis, precision agriculture applications, and environmental data collection on edge computing platforms
- Educational Robotics and Research: Perfect for computer vision research, machine learning model training, and educational projects requiring professional-grade stereo imaging on budget-constrained platforms
How to Use
Begin by physically mounting the dual camera modules on your Jetson Nano using the provided stereo baseline bracket, ensuring the fixed baseline geometry remains undisturbed as this directly impacts depth calculation accuracy. Connect the 15-pin CSI ribbon cables from each camera module to the dual camera ports on your Jetson Nano development board, ensuring connectors are fully seated and latched. Install the Arducam software libraries and drivers on your Jetson Nano running JetPack OS by downloading the official Arducam SDK from their GitHub repository and following the hardware-specific installation instructions for dual camera configuration.
Load the pre-calibrated stereo calibration matrices provided in the bundle into your stereo vision software pipeline using OpenCV's stereo matching functions or ROS stereo_image_proc packages. Configure your application to read synchronized frames from both camera feeds simultaneously using the hardware synchronization protocol, then apply rectification transforms using the calibration data before running stereo matching algorithms like Semi-Global Matching or Block Matching for depth map generation. Test the synchronization by capturing frame timestamps from both cameras simultaneously to verify zero-latency alignment, then validate depth accuracy using known reference objects at various distances before deploying in production robotics applications.
Frequently Asked Questions
What is hardware synchronization and why does it matter for stereo vision?
Hardware synchronization uses dedicated electronic circuits to trigger both camera sensors simultaneously at the pixel level, ensuring both cameras capture their respective frames at exactly the same moment. This is critical for stereo vision because any temporal misalignment between left and right frames introduces errors in stereo matching algorithms, resulting in incorrect or missing depth values. Software-synchronized solutions introduce 10-50ms latency differences between frames, making them unsuitable for real-time robotics. The Arducam B0217J8 achieves microsecond-level synchronization accuracy, enabling reliable depth computation even with fast-moving objects or dynamic scenes.
Can I use this stereo camera bundle with other Jetson platforms besides Nano?
The B0217J8 is specifically designed for Jetson Nano's dual CSI camera ports. While other Jetson platforms like Jetson Xavier NX or Jetson AGX Orin have CSI ports, they may require adapter cables or different mounting solutions. We recommend verifying CSI port compatibility with your specific Jetson model before purchase. The camera modules themselves are platform-agnostic, but the pre-calibrated baseline geometry and software libraries are optimized for Jetson Nano's camera interface specifications and processing capabilities.
What depth range and accuracy can I expect from this stereo camera system?
The effective depth range depends on baseline length, focal length, and disparity resolution. With the Arducam B0217J8's pre-calibrated baseline and 3.6mm lenses, typical working range is 0.2 meters to 3 meters with centimeter-level accuracy for objects within 1 meter. Beyond 3 meters, depth accuracy degrades as stereo matching becomes ambiguous. Actual performance depends on scene texture, lighting conditions, and the stereo matching algorithm used. Global shutter sensors eliminate rolling shutter artifacts that would otherwise degrade depth maps in dynamic scenes, providing consistent accuracy across varying lighting and motion conditions.
Are the cameras pre-calibrated, or do I need to perform calibration myself?
The Arducam B0217J8 bundle includes factory-calibrated stereo matrices covering intrinsic camera parameters, distortion coefficients, and relative pose geometry. These pre-computed calibration files enable immediate depth map generation without additional calibration. However, if cameras are physically damaged, baseline geometry is altered, or you require custom calibration for specialized applications, you can recalibrate using standard OpenCV calibration procedures with a checkerboard pattern. The pre-calibration significantly reduces setup time and is suitable for most robotics and computer vision applications.
What software libraries and programming languages are supported?
The bundle includes comprehensive support for Python and C++ through OpenCV integration, ROS stereo_image_proc packages, and Arducam's native SDK. The included software libraries provide direct access to synchronized frame capture, calibration data loading, and basic stereo matching implementations. You can build custom applications using OpenCV's stereo matching algorithms, implement SLAM using ORB-SLAM2 or similar frameworks, or integrate with ROS for robotics applications. Full source code examples and documentation are provided for all supported platforms and programming languages.
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
Buy Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano Online in India
Purchase the Arducam B0217J8 8MP Synchronized Stereo Camera Bundle Kit for Jetson Nano 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.
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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