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Arducam B0267 1MP x 4 Quadrascopic Camera Bundle Kit
The Arducam B0267 is a quad-camera module system featuring four synchronized 1MP sensors designed for simultaneous multi-angle imaging and 3D depth perception applications. This bundle kit is essential for roboticists, computer vision engineers, and embedded systems developers who require synchronized multi-perspective video capture for stereo vision, SLAM algorithms, and autonomous navigation systems. It solves the critical challenge of capturing coordinated imagery from multiple viewpoints simultaneously, enabling advanced spatial analysis and real-time environmental mapping in robotics and IoT projects.
Product Overview
The Arducam B0267 Quadrascopic Camera Bundle Kit integrates four 1MP OV9281 monochrome sensors arranged in a synchronized configuration, allowing real-time parallel image acquisition from four different perspectives. Each sensor operates at up to 120 fps, with global shutter capability that eliminates motion artifacts during high-speed robotics applications. The quad-camera architecture is specifically engineered for stereo vision processing, enabling depth map generation through epipolar geometry calculations and disparity analysis. The bundle includes all necessary interconnect cables, mounting brackets, and driver support for Raspberry Pi and Jetson platforms.
This quadrascopic system excels in applications requiring baseline stereo pairs with redundancy and extended field-of-view coverage. The monochrome sensors provide superior light sensitivity compared to color variants, delivering 8-bit raw image data ideal for computer vision algorithms that demand high contrast and precise edge detection. The synchronized capture mechanism ensures temporal alignment across all four sensors, critical for real-time SLAM implementations, obstacle detection, and 3D reconstruction workflows. Native support for CSI-2 interface enables direct integration with Raspberry Pi Compute Module and NVIDIA Jetson platforms without additional USB overhead.
Key Specifications
| Specification | Details |
| Product Type | Quadrascopic Camera Module Bundle Kit |
| Brand | Arducam |
| Model Number | B0267 |
| 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 |
| Sensor Type | OV9281 Monochrome CMOS |
| Resolution Per Camera | 1280 x 800 pixels (1MP) |
| Total Cameras | 4 synchronized units |
| Frame Rate | Up to 120 fps per sensor |
| Shutter Type | Global Shutter |
| Interface | CSI-2 MIPI (Raspberry Pi / Jetson compatible) |
| Pixel Size | 3.0 micrometers |
| Focal Length | 3.6mm (adjustable) |
| Field of View | 120 degrees diagonal |
| Output Format | 8-bit RAW Bayer / YUV422 |
| Power Consumption | Approximately 300mA per sensor at 3.3V |
| Operating Temperature | -30°C to +70°C |
| Bundle Includes | 4x Camera modules, CSI ribbon cables, mounting hardware, driver software |
Key Features
- Quad Synchronized Capture: Four 1MP sensors capture images simultaneously with microsecond-level temporal alignment, essential for stereo matching and epipolar geometry calculations in computer vision pipelines
- Global Shutter Technology: Eliminates rolling shutter artifacts during fast robotic movements, ensuring clean image data for motion-sensitive applications like autonomous vehicles and drone navigation
- Monochrome Sensors: Superior light sensitivity and dynamic range compared to color sensors, delivering high-contrast imagery optimal for edge detection, feature extraction, and machine learning inference
- High Frame Rate Performance: 120 fps capability per sensor enables real-time depth map generation and fast-moving object tracking without frame dropping or temporal lag
- Native Raspberry Pi and Jetson Support: Direct CSI-2 MIPI interface integration eliminates USB bandwidth bottlenecks, enabling parallel processing of quad-stream video without compression
- Adjustable Focal Length: 3.6mm lens with mechanical focus adjustment allows field-of-view customization for varying baseline distances and depth sensing range optimization
- Compact Modular Design: Individual camera modules can be mounted at configurable baseline distances to optimize stereo disparity range for specific depth sensing requirements
- Complete Bundle Package: Includes all interconnect cables, mounting brackets, and pre-configured driver support, reducing integration time for embedded vision projects
Applications and Use Cases
- Autonomous Robot Navigation: Quadrascopic setup provides redundant stereo pairs for simultaneous forward and lateral obstacle detection, enabling robust SLAM algorithms and real-time path planning in unknown environments
- 3D Reconstruction and Photogrammetry: Four-camera baseline configuration captures multi-perspective geometry for high-accuracy 3D model generation, depth map creation, and volumetric scene understanding
- Stereo Vision Depth Sensing: Dual stereo pairs from quad-camera arrangement enable extended depth range measurement and improved disparity resolution compared to traditional two-camera systems
- Drone and UAV Obstacle Avoidance: Synchronized multi-angle imaging provides comprehensive environmental awareness for autonomous flight control, collision detection, and intelligent obstacle negotiation
- Industrial Inspection and Quality Control: Monochrome sensors deliver high-contrast imagery for precise defect detection, dimensional measurement, and surface anomaly identification in manufacturing environments
- Gesture Recognition and Human Pose Estimation: Multiple camera angles simultaneously capture body position from different perspectives, improving skeletal tracking accuracy for interactive robotics and gesture-based interfaces
- Augmented Reality and Spatial Mapping: Quad-camera system enables real-time environment mapping and spatial feature tracking for AR applications, virtual object placement, and interactive gaming experiences
- Research and Academic Projects: Ideal platform for computer vision algorithm development, machine learning model training, and advanced robotics research requiring synchronized multi-view imaging
How to Use
Begin by connecting each of the four camera modules to your Raspberry Pi or NVIDIA Jetson platform using the provided CSI-2 ribbon cables, ensuring proper seating in the camera connectors to avoid signal integrity issues. Enable the camera interface in your platform's configuration settings (raspi-config for Raspberry Pi or Jetson configuration for NVIDIA boards). Install the Arducam-specific driver software and libcamera libraries, which provide optimized multi-camera streaming support. Configure each camera module individually through the driver interface to set resolution (1280x800 recommended for full 1MP output), frame rate (60-120 fps depending on processing capability), and exposure settings. Implement your computer vision pipeline using OpenCV or similar libraries, ensuring temporal synchronization across all four streams by leveraging the hardware-level frame synchronization provided by the CSI-2 interface.
For stereo vision applications, establish calibration parameters for each camera pair using standard checkerboard calibration patterns and OpenCV's stereo calibration toolkit. This generates intrinsic and extrinsic matrices necessary for accurate epipolar geometry and disparity calculation. Mount the camera modules at your desired baseline distance (typically 50-150mm for robotics applications) using the included brackets, ensuring optical axes are parallel for optimal stereo matching. Implement rectification algorithms to align image rows across stereo pairs, then apply block-matching or semi-global matching (SGM) algorithms for depth map generation. Monitor CPU and memory usage during quad-stream processing, as simultaneous 1MP 120fps capture from four sensors generates approximately 600MB/s raw data throughput, requiring efficient buffering and processing strategies.
Frequently Asked Questions
Can I use the Arducam B0267 with standard Raspberry Pi 4B without additional hardware?
Yes, the B0267 is fully compatible with Raspberry Pi 4B through the standard CSI-2 camera connector. However, you will need to use the Arducam multi-camera adapter board to connect all four modules simultaneously, as the standard Pi has only one camera port. The bundle typically includes this adapter. For optimal performance with quad-stream 120fps capture, we recommend using Raspberry Pi Compute Module 4 or NVIDIA Jetson platforms with higher processing capability.
What is the maximum baseline distance I can achieve with the quad-camera configuration?
The physical mounting brackets support baseline distances up to 200mm between camera modules. However, optimal baseline selection depends on your target depth sensing range. For close-range applications (0.3-2 meters), use 50-80mm baseline. For mid-range (2-10 meters), use 100-150mm baseline. Larger baselines improve depth resolution at distance but reduce near-field accuracy. The monochrome 1MP resolution provides sufficient feature density for reliable stereo matching across all baseline configurations.
How do I synchronize the four cameras for simultaneous frame capture?
The Arducam B0267 uses hardware-level synchronization through the CSI-2 MIPI interface, which automatically aligns frame capture across all four sensors with microsecond-level precision. No additional synchronization code is required. When using the Arducam driver library with multi-camera support, simply configure all four streams at the same resolution and frame rate, and the driver handles temporal alignment internally. This ensures that all four frames are captured within the same exposure window, critical for stereo matching accuracy.
Is the B0267 suitable for outdoor use with sunlight interference?
The monochrome sensors have excellent dynamic range and light sensitivity, performing well in outdoor environments. However, global shutter sensors can experience blooming under direct sunlight. We recommend using neutral density (ND) filters or adjusting exposure time to prevent sensor saturation. The adjustable focal length allows you to optimize focus for outdoor distances. For extended outdoor deployment, consider protective lens covers and proper thermal management to maintain sensor temperature within operating range.
What software libraries support the Arducam B0267 quad-camera configuration?
The bundle includes native support for libcamera, OpenCV, and Arducam's proprietary multi-camera SDK. For Raspberry Pi, use the official camera stack with Arducam extensions. For NVIDIA Jetson, leverage GStreamer pipelines with Arducam plugins for efficient hardware-accelerated video streaming. Python bindings are available for rapid prototyping. ROS (Robot Operating System) integration is possible through standard camera drivers, enabling seamless integration into robotic systems and autonomous navigation stacks.
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
Buy Arducam B0267 1MP x 4 Quadrascopic Camera Bundle Kit Online in India
Purchase the Arducam B0267 1MP x 4 Quadrascopic Camera Bundle Kit 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 B0267 1MP x 4 Quadrascopic Camera Bundle Kit
The Arducam B0267 is a quad-camera module system featuring four synchronized 1MP sensors designed for simultaneous multi-angle imaging and 3D depth perception applications. This bundle kit is essential for roboticists, computer vision engineers, and embedded systems developers who require synchronized multi-perspective video capture for stereo vision, SLAM algorithms, and autonomous navigation systems. It solves the critical challenge of capturing coordinated imagery from multiple viewpoints simultaneously, enabling advanced spatial analysis and real-time environmental mapping in robotics and IoT projects.
Product Overview
The Arducam B0267 Quadrascopic Camera Bundle Kit integrates four 1MP OV9281 monochrome sensors arranged in a synchronized configuration, allowing real-time parallel image acquisition from four different perspectives. Each sensor operates at up to 120 fps, with global shutter capability that eliminates motion artifacts during high-speed robotics applications. The quad-camera architecture is specifically engineered for stereo vision processing, enabling depth map generation through epipolar geometry calculations and disparity analysis. The bundle includes all necessary interconnect cables, mounting brackets, and driver support for Raspberry Pi and Jetson platforms.
This quadrascopic system excels in applications requiring baseline stereo pairs with redundancy and extended field-of-view coverage. The monochrome sensors provide superior light sensitivity compared to color variants, delivering 8-bit raw image data ideal for computer vision algorithms that demand high contrast and precise edge detection. The synchronized capture mechanism ensures temporal alignment across all four sensors, critical for real-time SLAM implementations, obstacle detection, and 3D reconstruction workflows. Native support for CSI-2 interface enables direct integration with Raspberry Pi Compute Module and NVIDIA Jetson platforms without additional USB overhead.
Key Specifications
| Specification | Details |
| Product Type | Quadrascopic Camera Module Bundle Kit |
| Brand | Arducam |
| Model Number | B0267 |
| 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 |
| Sensor Type | OV9281 Monochrome CMOS |
| Resolution Per Camera | 1280 x 800 pixels (1MP) |
| Total Cameras | 4 synchronized units |
| Frame Rate | Up to 120 fps per sensor |
| Shutter Type | Global Shutter |
| Interface | CSI-2 MIPI (Raspberry Pi / Jetson compatible) |
| Pixel Size | 3.0 micrometers |
| Focal Length | 3.6mm (adjustable) |
| Field of View | 120 degrees diagonal |
| Output Format | 8-bit RAW Bayer / YUV422 |
| Power Consumption | Approximately 300mA per sensor at 3.3V |
| Operating Temperature | -30°C to +70°C |
| Bundle Includes | 4x Camera modules, CSI ribbon cables, mounting hardware, driver software |
Key Features
- Quad Synchronized Capture: Four 1MP sensors capture images simultaneously with microsecond-level temporal alignment, essential for stereo matching and epipolar geometry calculations in computer vision pipelines
- Global Shutter Technology: Eliminates rolling shutter artifacts during fast robotic movements, ensuring clean image data for motion-sensitive applications like autonomous vehicles and drone navigation
- Monochrome Sensors: Superior light sensitivity and dynamic range compared to color sensors, delivering high-contrast imagery optimal for edge detection, feature extraction, and machine learning inference
- High Frame Rate Performance: 120 fps capability per sensor enables real-time depth map generation and fast-moving object tracking without frame dropping or temporal lag
- Native Raspberry Pi and Jetson Support: Direct CSI-2 MIPI interface integration eliminates USB bandwidth bottlenecks, enabling parallel processing of quad-stream video without compression
- Adjustable Focal Length: 3.6mm lens with mechanical focus adjustment allows field-of-view customization for varying baseline distances and depth sensing range optimization
- Compact Modular Design: Individual camera modules can be mounted at configurable baseline distances to optimize stereo disparity range for specific depth sensing requirements
- Complete Bundle Package: Includes all interconnect cables, mounting brackets, and pre-configured driver support, reducing integration time for embedded vision projects
Applications and Use Cases
- Autonomous Robot Navigation: Quadrascopic setup provides redundant stereo pairs for simultaneous forward and lateral obstacle detection, enabling robust SLAM algorithms and real-time path planning in unknown environments
- 3D Reconstruction and Photogrammetry: Four-camera baseline configuration captures multi-perspective geometry for high-accuracy 3D model generation, depth map creation, and volumetric scene understanding
- Stereo Vision Depth Sensing: Dual stereo pairs from quad-camera arrangement enable extended depth range measurement and improved disparity resolution compared to traditional two-camera systems
- Drone and UAV Obstacle Avoidance: Synchronized multi-angle imaging provides comprehensive environmental awareness for autonomous flight control, collision detection, and intelligent obstacle negotiation
- Industrial Inspection and Quality Control: Monochrome sensors deliver high-contrast imagery for precise defect detection, dimensional measurement, and surface anomaly identification in manufacturing environments
- Gesture Recognition and Human Pose Estimation: Multiple camera angles simultaneously capture body position from different perspectives, improving skeletal tracking accuracy for interactive robotics and gesture-based interfaces
- Augmented Reality and Spatial Mapping: Quad-camera system enables real-time environment mapping and spatial feature tracking for AR applications, virtual object placement, and interactive gaming experiences
- Research and Academic Projects: Ideal platform for computer vision algorithm development, machine learning model training, and advanced robotics research requiring synchronized multi-view imaging
How to Use
Begin by connecting each of the four camera modules to your Raspberry Pi or NVIDIA Jetson platform using the provided CSI-2 ribbon cables, ensuring proper seating in the camera connectors to avoid signal integrity issues. Enable the camera interface in your platform's configuration settings (raspi-config for Raspberry Pi or Jetson configuration for NVIDIA boards). Install the Arducam-specific driver software and libcamera libraries, which provide optimized multi-camera streaming support. Configure each camera module individually through the driver interface to set resolution (1280x800 recommended for full 1MP output), frame rate (60-120 fps depending on processing capability), and exposure settings. Implement your computer vision pipeline using OpenCV or similar libraries, ensuring temporal synchronization across all four streams by leveraging the hardware-level frame synchronization provided by the CSI-2 interface.
For stereo vision applications, establish calibration parameters for each camera pair using standard checkerboard calibration patterns and OpenCV's stereo calibration toolkit. This generates intrinsic and extrinsic matrices necessary for accurate epipolar geometry and disparity calculation. Mount the camera modules at your desired baseline distance (typically 50-150mm for robotics applications) using the included brackets, ensuring optical axes are parallel for optimal stereo matching. Implement rectification algorithms to align image rows across stereo pairs, then apply block-matching or semi-global matching (SGM) algorithms for depth map generation. Monitor CPU and memory usage during quad-stream processing, as simultaneous 1MP 120fps capture from four sensors generates approximately 600MB/s raw data throughput, requiring efficient buffering and processing strategies.
Frequently Asked Questions
Can I use the Arducam B0267 with standard Raspberry Pi 4B without additional hardware?
Yes, the B0267 is fully compatible with Raspberry Pi 4B through the standard CSI-2 camera connector. However, you will need to use the Arducam multi-camera adapter board to connect all four modules simultaneously, as the standard Pi has only one camera port. The bundle typically includes this adapter. For optimal performance with quad-stream 120fps capture, we recommend using Raspberry Pi Compute Module 4 or NVIDIA Jetson platforms with higher processing capability.
What is the maximum baseline distance I can achieve with the quad-camera configuration?
The physical mounting brackets support baseline distances up to 200mm between camera modules. However, optimal baseline selection depends on your target depth sensing range. For close-range applications (0.3-2 meters), use 50-80mm baseline. For mid-range (2-10 meters), use 100-150mm baseline. Larger baselines improve depth resolution at distance but reduce near-field accuracy. The monochrome 1MP resolution provides sufficient feature density for reliable stereo matching across all baseline configurations.
How do I synchronize the four cameras for simultaneous frame capture?
The Arducam B0267 uses hardware-level synchronization through the CSI-2 MIPI interface, which automatically aligns frame capture across all four sensors with microsecond-level precision. No additional synchronization code is required. When using the Arducam driver library with multi-camera support, simply configure all four streams at the same resolution and frame rate, and the driver handles temporal alignment internally. This ensures that all four frames are captured within the same exposure window, critical for stereo matching accuracy.
Is the B0267 suitable for outdoor use with sunlight interference?
The monochrome sensors have excellent dynamic range and light sensitivity, performing well in outdoor environments. However, global shutter sensors can experience blooming under direct sunlight. We recommend using neutral density (ND) filters or adjusting exposure time to prevent sensor saturation. The adjustable focal length allows you to optimize focus for outdoor distances. For extended outdoor deployment, consider protective lens covers and proper thermal management to maintain sensor temperature within operating range.
What software libraries support the Arducam B0267 quad-camera configuration?
The bundle includes native support for libcamera, OpenCV, and Arducam's proprietary multi-camera SDK. For Raspberry Pi, use the official camera stack with Arducam extensions. For NVIDIA Jetson, leverage GStreamer pipelines with Arducam plugins for efficient hardware-accelerated video streaming. Python bindings are available for rapid prototyping. ROS (Robot Operating System) integration is possible through standard camera drivers, enabling seamless integration into robotic systems and autonomous navigation stacks.
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
Buy Arducam B0267 1MP x 4 Quadrascopic Camera Bundle Kit Online in India
Purchase the Arducam B0267 1MP x 4 Quadrascopic Camera Bundle Kit 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.