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Arducam 8MP IMX219 Camera for NVIDIA Jetson Nano
The Arducam 8MP IMX219 Camera is a high-resolution CSI camera module specifically designed for NVIDIA Jetson Nano edge computing platforms, delivering 3280x2464 pixel native resolution with advanced image processing capabilities. Professional roboticists, computer vision engineers, and AI developers rely on this camera module to build real-time object detection, facial recognition, and autonomous navigation systems without requiring external USB power dependencies. This module solves the critical challenge of integrating high-quality machine vision into resource-constrained edge devices while maintaining low latency and minimal power consumption for production-grade AI applications.
Product Overview
The Arducam 8MP IMX219 leverages Sony's proven IMX219 CMOS sensor architecture, which features a 1/4-inch optical format with 1.4 micrometer pixel size optimized for 15-degree field of view applications. The camera connects directly to the Jetson Nano's CSI-2 camera interface via a 22-pin ribbon cable, enabling raw image capture at up to 30 frames per second in full 8MP resolution or higher frame rates at reduced resolutions. The sensor supports Bayer color filter array processing with integrated analog-to-digital conversion, delivering 10-bit raw output that integrates seamlessly with NVIDIA's CUDA-accelerated image processing pipelines and deep learning inference frameworks.
What distinguishes this module is its optimized integration with Jetson Nano's hardware video encoder and JetPack SDK libraries, providing pre-compiled drivers and GStreamer plugins for immediate deployment. The camera features fixed-focus optics calibrated for 0.3-meter to infinity depth range, making it suitable for tabletop robotics, surveillance applications, and close-range inspection tasks. Built-in support for various image formats including YUV420, YUV422, and RAW10 ensures compatibility with OpenCV, TensorFlow, and PyTorch inference pipelines without additional format conversion overhead.
Key Specifications
| Specification | Details |
| Product Type | CSI Camera Module for Jetson Nano |
| Brand | Arducam |
| 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 Model | Sony IMX219 CMOS |
| Resolution | 8 Megapixels (3280x2464) |
| Pixel Size | 1.4 micrometers |
| Maximum Frame Rate | 30 fps at full resolution, 90 fps at 1080p |
| Optical Format | 1/4-inch |
| Field of View | 15 degrees (fixed focus) |
| Focus Range | 0.3 meters to infinity |
| Interface | CSI-2 22-pin ribbon connector |
| Power Consumption | Approximately 200mA at 3.3V |
| Operating Temperature | -30°C to 70°C |
| Output Formats | RAW10, YUV420, YUV422 |
Key Features
- 8 Megapixel native resolution with 3280x2464 pixel output enabling detailed object detection and facial feature extraction in machine vision applications
- Direct CSI-2 interface connection to Jetson Nano eliminates USB bandwidth bottlenecks, supporting simultaneous multi-stream processing and reduced system latency
- Sony IMX219 sensor with global shutter characteristics and low read noise ensures consistent image quality across varying lighting conditions for outdoor robotics and surveillance
- Pre-optimized GStreamer plugins and JetPack SDK drivers enable plug-and-play integration with TensorFlow Lite, PyTorch, and NVIDIA DeepStream inference frameworks
- Compact form factor with 22-pin CSI ribbon connector maintains Jetson Nano's minimal footprint while supporting 30 fps full-resolution capture with minimal power draw
- Fixed-focus optics calibrated for 0.3-meter minimum focus distance ideal for tabletop robotics, document scanning, and close-range inspection applications
Applications and Use Cases
- Autonomous Mobile Robots: Real-time visual SLAM, obstacle detection, and path planning using continuous 30 fps video feed with sub-100ms processing latency on Jetson Nano
- Computer Vision Quality Control: Industrial inspection systems capturing high-resolution defect detection on manufacturing lines with integrated TensorFlow object detection models
- Robotics Research: Academic projects requiring synchronized multi-camera setups for behavior analysis, human-robot interaction studies, and gesture recognition prototypes
- Edge AI Surveillance: Distributed video analytics for person detection, crowd counting, and anomaly detection without requiring cloud connectivity or continuous network bandwidth
- Smart Home Security: Local face recognition and intrusion detection systems leveraging Jetson Nano's GPU acceleration for privacy-preserving on-device inference
- Agricultural Monitoring: Crop health assessment and pest detection using hyperspectral analysis with real-time processing on edge devices deployed in field conditions
How to Use
To set up the Arducam 8MP IMX219 Camera with your NVIDIA Jetson Nano, first ensure your Jetson Nano is powered down and the camera module is disconnected. Locate the CSI camera connector on the Jetson Nano board (near the audio jack), gently lift the black retention clip, and insert the 22-pin ribbon cable with the blue side facing toward the HDMI port. Press down the retention clip firmly until it clicks, ensuring the cable is fully seated. Power on your Jetson Nano and verify camera detection by running the command: nvgstcapture-1.0 --automate in the terminal. Install Arducam-specific drivers if needed from the official Arducam GitHub repository, then configure your preferred capture framework (OpenCV, GStreamer, or NVIDIA DeepStream) with the appropriate CSI camera device path.
For optimal performance in machine vision applications, calibrate the camera using OpenCV's calibration toolkit to correct for lens distortion before deploying object detection models. When capturing images in Python, use the Jetson.GPIO library combined with OpenCV's VideoCapture with gstreamer pipelines for zero-copy GPU-accelerated processing. Ensure adequate lighting (minimum 100 lux recommended) for optimal sensor performance, and verify frame rates using gst-launch-1.0 tools to confirm your inference pipeline can sustain real-time processing without frame drops. For outdoor applications, consider adding a protective lens hood to minimize lens flare and reflections that could degrade detection accuracy.
Frequently Asked Questions
Is this camera compatible with Raspberry Pi or other single-board computers?
No, the Arducam 8MP IMX219 is specifically designed for NVIDIA Jetson Nano's CSI-2 camera interface. While the Sony IMX219 sensor exists in Raspberry Pi-compatible versions, this particular module's pinout and driver optimization are exclusive to Jetson Nano. Using it with other platforms would require custom hardware adaptation and driver development.
What is the actual field of view and minimum focus distance for this camera?
The Arducam 8MP IMX219 features a fixed 15-degree diagonal field of view with a minimum focus distance of 0.3 meters (approximately 12 inches). This makes it ideal for close-range applications like document scanning and tabletop robotics. The focus is factory-calibrated and non-adjustable, so objects closer than 0.3 meters will appear out of focus.
Can I use this camera with TensorFlow Lite object detection models on Jetson Nano?
Yes, absolutely. The camera integrates seamlessly with TensorFlow Lite through GStreamer pipelines and NVIDIA's TensorRT optimization framework. You can capture CSI video directly into your inference pipeline using OpenCV or GStreamer, then process frames through pre-trained object detection models like MobileNet or YOLO at 15-20 fps depending on model complexity and Jetson Nano's clock settings.
What power supply do I need for the Jetson Nano with this camera?
The camera draws approximately 200mA at 3.3V, which is supplied directly through the Jetson Nano's internal regulators. Your Jetson Nano power supply should be at least 5A at 5V (25W minimum) to safely power both the board and camera module. We recommend using an official Jetson Nano power adapter or equivalent 5V/4A supply for stable operation during intensive inference tasks.
Does this camera support night vision or infrared imaging?
No, the Arducam 8MP IMX219 is a standard visible-light camera without infrared or night vision capabilities. It requires adequate ambient lighting (minimum 100 lux) for proper operation. If you need night vision, consider Arducam's infrared camera modules designed for Jetson Nano, which include integrated IR illuminators.
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 Arducam 8MP IMX219 Camera for NVIDIA Jetson Nano
Buy Arducam 8MP IMX219 Camera for NVIDIA Jetson Nano Online in India
Purchase the Arducam 8MP IMX219 Camera for NVIDIA 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 8MP IMX219 Camera for NVIDIA Jetson Nano
The Arducam 8MP IMX219 Camera is a high-resolution CSI camera module specifically designed for NVIDIA Jetson Nano edge computing platforms, delivering 3280x2464 pixel native resolution with advanced image processing capabilities. Professional roboticists, computer vision engineers, and AI developers rely on this camera module to build real-time object detection, facial recognition, and autonomous navigation systems without requiring external USB power dependencies. This module solves the critical challenge of integrating high-quality machine vision into resource-constrained edge devices while maintaining low latency and minimal power consumption for production-grade AI applications.
Product Overview
The Arducam 8MP IMX219 leverages Sony's proven IMX219 CMOS sensor architecture, which features a 1/4-inch optical format with 1.4 micrometer pixel size optimized for 15-degree field of view applications. The camera connects directly to the Jetson Nano's CSI-2 camera interface via a 22-pin ribbon cable, enabling raw image capture at up to 30 frames per second in full 8MP resolution or higher frame rates at reduced resolutions. The sensor supports Bayer color filter array processing with integrated analog-to-digital conversion, delivering 10-bit raw output that integrates seamlessly with NVIDIA's CUDA-accelerated image processing pipelines and deep learning inference frameworks.
What distinguishes this module is its optimized integration with Jetson Nano's hardware video encoder and JetPack SDK libraries, providing pre-compiled drivers and GStreamer plugins for immediate deployment. The camera features fixed-focus optics calibrated for 0.3-meter to infinity depth range, making it suitable for tabletop robotics, surveillance applications, and close-range inspection tasks. Built-in support for various image formats including YUV420, YUV422, and RAW10 ensures compatibility with OpenCV, TensorFlow, and PyTorch inference pipelines without additional format conversion overhead.
Key Specifications
| Specification | Details |
| Product Type | CSI Camera Module for Jetson Nano |
| Brand | Arducam |
| 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 Model | Sony IMX219 CMOS |
| Resolution | 8 Megapixels (3280x2464) |
| Pixel Size | 1.4 micrometers |
| Maximum Frame Rate | 30 fps at full resolution, 90 fps at 1080p |
| Optical Format | 1/4-inch |
| Field of View | 15 degrees (fixed focus) |
| Focus Range | 0.3 meters to infinity |
| Interface | CSI-2 22-pin ribbon connector |
| Power Consumption | Approximately 200mA at 3.3V |
| Operating Temperature | -30°C to 70°C |
| Output Formats | RAW10, YUV420, YUV422 |
Key Features
- 8 Megapixel native resolution with 3280x2464 pixel output enabling detailed object detection and facial feature extraction in machine vision applications
- Direct CSI-2 interface connection to Jetson Nano eliminates USB bandwidth bottlenecks, supporting simultaneous multi-stream processing and reduced system latency
- Sony IMX219 sensor with global shutter characteristics and low read noise ensures consistent image quality across varying lighting conditions for outdoor robotics and surveillance
- Pre-optimized GStreamer plugins and JetPack SDK drivers enable plug-and-play integration with TensorFlow Lite, PyTorch, and NVIDIA DeepStream inference frameworks
- Compact form factor with 22-pin CSI ribbon connector maintains Jetson Nano's minimal footprint while supporting 30 fps full-resolution capture with minimal power draw
- Fixed-focus optics calibrated for 0.3-meter minimum focus distance ideal for tabletop robotics, document scanning, and close-range inspection applications
Applications and Use Cases
- Autonomous Mobile Robots: Real-time visual SLAM, obstacle detection, and path planning using continuous 30 fps video feed with sub-100ms processing latency on Jetson Nano
- Computer Vision Quality Control: Industrial inspection systems capturing high-resolution defect detection on manufacturing lines with integrated TensorFlow object detection models
- Robotics Research: Academic projects requiring synchronized multi-camera setups for behavior analysis, human-robot interaction studies, and gesture recognition prototypes
- Edge AI Surveillance: Distributed video analytics for person detection, crowd counting, and anomaly detection without requiring cloud connectivity or continuous network bandwidth
- Smart Home Security: Local face recognition and intrusion detection systems leveraging Jetson Nano's GPU acceleration for privacy-preserving on-device inference
- Agricultural Monitoring: Crop health assessment and pest detection using hyperspectral analysis with real-time processing on edge devices deployed in field conditions
How to Use
To set up the Arducam 8MP IMX219 Camera with your NVIDIA Jetson Nano, first ensure your Jetson Nano is powered down and the camera module is disconnected. Locate the CSI camera connector on the Jetson Nano board (near the audio jack), gently lift the black retention clip, and insert the 22-pin ribbon cable with the blue side facing toward the HDMI port. Press down the retention clip firmly until it clicks, ensuring the cable is fully seated. Power on your Jetson Nano and verify camera detection by running the command: nvgstcapture-1.0 --automate in the terminal. Install Arducam-specific drivers if needed from the official Arducam GitHub repository, then configure your preferred capture framework (OpenCV, GStreamer, or NVIDIA DeepStream) with the appropriate CSI camera device path.
For optimal performance in machine vision applications, calibrate the camera using OpenCV's calibration toolkit to correct for lens distortion before deploying object detection models. When capturing images in Python, use the Jetson.GPIO library combined with OpenCV's VideoCapture with gstreamer pipelines for zero-copy GPU-accelerated processing. Ensure adequate lighting (minimum 100 lux recommended) for optimal sensor performance, and verify frame rates using gst-launch-1.0 tools to confirm your inference pipeline can sustain real-time processing without frame drops. For outdoor applications, consider adding a protective lens hood to minimize lens flare and reflections that could degrade detection accuracy.
Frequently Asked Questions
Is this camera compatible with Raspberry Pi or other single-board computers?
No, the Arducam 8MP IMX219 is specifically designed for NVIDIA Jetson Nano's CSI-2 camera interface. While the Sony IMX219 sensor exists in Raspberry Pi-compatible versions, this particular module's pinout and driver optimization are exclusive to Jetson Nano. Using it with other platforms would require custom hardware adaptation and driver development.
What is the actual field of view and minimum focus distance for this camera?
The Arducam 8MP IMX219 features a fixed 15-degree diagonal field of view with a minimum focus distance of 0.3 meters (approximately 12 inches). This makes it ideal for close-range applications like document scanning and tabletop robotics. The focus is factory-calibrated and non-adjustable, so objects closer than 0.3 meters will appear out of focus.
Can I use this camera with TensorFlow Lite object detection models on Jetson Nano?
Yes, absolutely. The camera integrates seamlessly with TensorFlow Lite through GStreamer pipelines and NVIDIA's TensorRT optimization framework. You can capture CSI video directly into your inference pipeline using OpenCV or GStreamer, then process frames through pre-trained object detection models like MobileNet or YOLO at 15-20 fps depending on model complexity and Jetson Nano's clock settings.
What power supply do I need for the Jetson Nano with this camera?
The camera draws approximately 200mA at 3.3V, which is supplied directly through the Jetson Nano's internal regulators. Your Jetson Nano power supply should be at least 5A at 5V (25W minimum) to safely power both the board and camera module. We recommend using an official Jetson Nano power adapter or equivalent 5V/4A supply for stable operation during intensive inference tasks.
Does this camera support night vision or infrared imaging?
No, the Arducam 8MP IMX219 is a standard visible-light camera without infrared or night vision capabilities. It requires adequate ambient lighting (minimum 100 lux) for proper operation. If you need night vision, consider Arducam's infrared camera modules designed for Jetson Nano, which include integrated IR illuminators.
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 Arducam 8MP IMX219 Camera for NVIDIA Jetson Nano
Buy Arducam 8MP IMX219 Camera for NVIDIA Jetson Nano Online in India
Purchase the Arducam 8MP IMX219 Camera for NVIDIA 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.