SKU: IOWC-0250
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Arducam 2.3MP Global Shutter Camera Module for Jetson Orin Nano/NX

₹16,689.00 (Inclusive of all taxes)
Out of Stock

This 2.3MP global shutter camera module connects via MIPI CSI-2 to NVIDIA Jetson Orin Nano/NX platforms, delivering motion-blur-free imaging at up to 30fps for robotics and industrial vision applications.

Features

  • 2.3MP Global Shutter Sensor: Captures 1920×1200 resolution images without motion blur, ideal for high-speed robotics and automated inspection.
  • Jetson-Optimized Integration: Pre-validated with NVIDIA V4L2 drivers for seamless setup on Jetson Orin Nano and NX developer kits.
  • Onboard ISP for Image Tuning: Provides real-time control over exposure, gain, white balance, and saturation for precise image adjustments.
  • Wide 110° Field of View: Features a fixed-focus 2.8mm M12 lens for broad scene coverage in navigation and monitoring tasks.
  • Low-Power Edge Deployment: Operates at 3.3V with ~1W power consumption, suitable for embedded and mobile AI vision systems.

Out of stock

Description

Engineered for demanding edge AI applications, the Arducam 2.3MP Global Shutter Camera Module delivers consistent exposure and high-fidelity imaging for NVIDIA Jetson platforms. Its global shutter sensor eliminates rolling shutter distortion, ensuring pixel-accurate capture of fast-moving objects—a critical requirement for robotic navigation, pick-and-place systems, and automated optical inspection.

The module integrates a hardware-tuned image signal processor (ISP) pipeline, allowing developers to fine-tune brightness, contrast, and white balance programmatically via standard V4L2 controls. With a native MIPI CSI-2 interface and a supplied 15cm ribbon cable, it plugs directly into the Jetson Orin Nano/NX carrier board, reducing integration complexity and accelerating vision pipeline development for machine learning and computer vision workloads.

Key Features

  • Global shutter sensor captures fast motion without skew or blur, perfect for high-speed robotics.
  • Onboard ISP enables real-time manual or automatic control of exposure, gain, and white balance.
  • Pre-validated NVIDIA V4L2 drivers ensure plug-and-play compatibility with Jetson Orin Nano/NX.
  • Wide 110° diagonal field of view via fixed-focus 2.8mm M12 mount lens.
  • Low-power operation at 3.3V, drawing approximately 1W, suitable for mobile and embedded deployments.
  • MIPI CSI-2 interface provides a high-bandwidth, low-latency connection to the Jetson platform.
  • Robust construction supports an operating temperature range of 0°C to 70°C.

Applications

  • High-speed robotics and humanoid robot vision systems.
  • Machine vision inspection for defect detection and quality control on manufacturing lines.
  • Visual navigation and guidance for mobile robots and Automated Guided Vehicles (AGVs).
  • High-speed barcode and QR code scanning in logistics and packaging.
  • Real-time object tracking and positioning for pick-and-place automation arms.

Technical Specifications

Sensor Resolution2.3 Megapixels (1920 x 1200)
Sensor Size1/2.6"
Pixel Size3μm x 3μm
Shutter TypeGlobal Shutter
Maximum Frame Rate30 fps
Output FormatYUV
Lens Mount & Focal LengthM12, 2.8mm Fixed Focus
Field of View (Diagonal)110°
InterfaceMIPI CSI-2
Operating Voltage3.3V
Typical Power Consumption1W
Operating Temperature0°C to 70°C

Frequently Asked Questions

How do I connect and configure this camera on my Jetson Orin Nano/NX?

Connect the camera's 22-pin FPC cable to the MIPI CSI-2 connector on your Jetson carrier board. The module is pre-validated with NVIDIA's standard V4L2 drivers. After booting your Jetson, you can verify detection using commands like 'v4l2-ctl --list-devices' and begin streaming with GStreamer or OpenCV. No additional driver compilation is typically required for basic functionality.

What software frameworks support this global shutter camera for AI development?

The camera is fully compatible with NVIDIA's JetPack SDK and the standard Linux V4L2 framework. You can capture frames directly into Python using OpenCV's VideoCapture or into C/C++ applications via libv4l2. For AI pipelines, you can integrate the video feed with DeepStream, TensorRT, or other ML inference frameworks running on the Jetson's GPU for object detection and classification tasks.

Can I adjust exposure and image settings programmatically?

Yes, the onboard ISP allows programmatic control via standard V4L2 ioctl calls. You can adjust parameters like exposure time (manual or auto), analog/digital gain, white balance mode, brightness, contrast, and saturation from your application code. These controls are essential for optimizing image quality under varying lighting conditions in industrial environments.

Package Includes

  • 1x Arducam 2.3MP Global Shutter Camera Module
  • 1x 15cm 22-to-22pin Ribbon Cable

Additional Information

Weight 0.034 kg
Dimensions 6 × 6 × 6 cm