e-CAM23_CUNX - 2MP Global Shutter Monochrome Camera for NVIDIA® Jetson Xavier™ NX

e-CAM23_CUNX is a 2MP Monochrome MIPI CSI-2 global shutter camera board for NVIDIA® Jetson Xavier™ NX developer kit. This camera kit contains e-CAM222_CUMI2311_MOD, camera module based on OmniVision 1/2.9" OV2311 monochrome Image sensor with OmniPixel™ 3-GS global shutter pixel technology optimized for the accurate and fast capture of moving scenes at full resolution. The global shutter camera helps to produce stunning and accurate images when the target scene is moving.

  • Houses e-CAM222_CUMI2311_MOD - 2MP Camera Module with S-Mount lens holder
  • Superior low light performance and IR performance
  • High-speed 2-lane MIPI CSI-2 interface to connect with the CPU
  • Plugs in to NVIDIA® Jetson Xavier™ NX
  • Up to 2 cameras can be connected to NVIDIA® Jetson Xavier™ NX developer kit with synchronization
  • Global shutter camera
  • Output format: 8-bit/10-bit Monochrome output format
  • Frame Rate:
  • Resolutions Y16 (10 bit) Y8 (8 bit)
    QVGA (320 x 240) 280 fps 280 fps
    VGA (640 x 480) 180 fps 180 fps
    HD (1280 x 720) 90 fps 90 fps
    2.0 MP (1600 x 1300) 40 fps 60 fps
  • External Hardware Trigger Input **
  • Linux camera driver (V4L2) for 2.0 MP MIPI CSI-2 camera module
  • Operating Temperature Range: -30°C to 85°C
  • Power Consumption:
    • Max : 0.21W
  • Sample application for image capture & Preview
  • Gstreamer-1.0 support for video recording and network streaming
  • Lightweight, versatile, and portable design
  • RoHS compliant
  • Launched on:launch date
  • ** - The camera module supports external trigger. Some customization is required to use the external trigger on NVIDIA® Jetson Xavier™ NX developer kit.Please contact camerasolutions@e-consystems.com

Camera Module Features:

Sensor:OV2311 Monochrome sensor from OmniVision

Sensor Resolution and Optical Format:2.0 MP CMOS Image Sensor. 1/2.9" Optical format

Sensor type:2.0 MP CMOS Global Shutter Sensor with Monochrome output

Output Format:Y16 (10 bit), Y8 (8 bit)

Sensor Features:

Pixel size:3μm x 3μm pixel

Sensor Active Area:1600H x 1300V

Responsivity:49 Ke-/lux.sec

SNR:37.4 dB

Dynamic Range:68 dB

Shutter type:Global Shutter

Focus Type:Fixed focus

Array Size:1600 x 1300 pixels

DFOV:2.0 MP - 71.6° (with the lens provided by e-con)

Linux camera driver:


Full-fledged Linux camera driver for MIPI CSI-2 camera module. The driver supports e-con's e-CAM23_CUNX on NVIDIA® Jetson Xavier™ NX developer kit.

  • Supported Jetpack & L4T Version
    • NVIDIA® Jetson Xavier™ NX - JetPack 4.4.1 L4T 32.4.4
  • V4L2 Linux driver for MIPI CSI-2 camera module
    • Video preview
    • Still Image capture
    • Camera controls via IOCTLs
  • Sample application with source Code for Linux:
    • Video Preview
    • Still Image capture at selected resolutions
  • Camera Controls
    • Brightness
    • Exposure
  • Additional Capabilities
    • Stream Mode
      • Master Mode
      • Trigger Mode

Please contact sales@e-consystems.com for any customization or porting of camera driver to your requirements.

Download e-CAM23_CUNX - Technical Documents:

 Bullat Arrow  Datasheet

pdf e-CAM23_CUNX Datasheet

pdf e-CAM23_CUNX Lens Datasheet

 Bullat Arrow  User Manual

pdf e-CAM23_CUNX Getting Started Manual

pdf e-CAM23_CUNX Developer Guide

pdf e-CAM23_CUNX Linux App User Manual

pdf e-CAM23_CUNX Gstreamer Usage Guide

pdf e-CAM23_CUNX Release Package Manifest

pdf e-CAM_TK1 GUVCView Build and Installation Guide

Download Selected Documents

Kit Contents:

  • e-CAM222_CUMI2311_MOD - 2MP MIPI Camera Module with lens
  • Adaptor Board
  • Micro-coaxial cable
  • Flex cable (15 cm)
  • Linux Driver & Sample Application
  • Please contact sales@e-consystems.com for any customization or porting of camera driver to your requirements.

SAMPLE PRICE

Buy Camera online

Excluding Shipment Charges

»  Driver Monitoring Systems

»  Assembly Quality Inspection

»  Indoor Drones

»  Industrial Bar Code Scanning

»  Automated Guided Vehicle

»  Agricultural Robotics

»  Wheel Alignment

»  Electronystagmography