NVIDIA Jetson Nano based AI camera devkit enables rapid computer vision prototyping

ADLINK “AI Camera Dev Kit” is a pocket-sized NVIDIA Jetson Nano devkit with an 8MP image sensor, industrial digital inputs & outputs, and designed for rapid AI vision prototyping.

The kit also features a Gigabit Ethernet port, a USB-C port for power, data, and video output up to 1080p30, a microSD card with Linux (Ubuntu 18.04), and a micro USB port to flash the firmware. As we’ll see further below it also comes with drivers and software to quickly get started with AI-accelerated computer vision applications.

AI Camera Devkit

AI Camera Dev Kit specifications:

  • System-on-Module –  NVIDIA Jetson Nano with
    • CPU – Quad-core Arm Cortex-A57 processor
    • GPU – NVIDIA Maxwell architecture with 128 NVIDIA cores
    • System Memory – 4 GB 64-bit LPDDR4
    • Storage – 16 GB eMMC
  • Storage – MicroSD card socket
  • ADLINK NEON-series camera module
    • Sony IMX179 color sensor with rolling shutter
    • Resolution – 8MP (3280 x 2464)
    • Frame Rate (fps) – 3280 x 2464 @ 15fps / 1920 x 1080 @ 30fps
    • Sensor Size – 1/3.2″
    • Pixel Size – 1.4 x 1.4 µm
    • FoV – 72.9°
  • Networking – Gigabit Ethernet RJ45 port
  • USB
    • USB 3.0 Type-C port for power, data, and DisplayPort Alt mode up to 1920×1080 @ 30 Hz
    • Micro USB port to flash the firmware
  • Expansion – 2x 8-pin connector with 4x DI and 4x DO, 1x UART (Tx, Rx, GND)
  • Power Input – 12 to 24V DC  via power jack  or 15V DC via USB Type-C port
  • Power Consumption – < 40W
  • Dimensions – 130 x 72 x 43.8 mm
  • Temperature Range – Operating: 0°C to 30°C; storage: -20°C to 70°C

NVIDIA Jetson Nano vision developer kit

The Jetson Nano AI camera devkit comes preloaded with NVIDIA Jetpack based on Ubuntu 18.04 Linux operating systems and the camera supports V4L2 and Gstreamer just like the e-Con Systems e-CAM20_CURB Raspberry Pi 4 camera we tested last month. But the OS image also includes OpenCV and the no-code/low-code ADLINK’s EVA (Edge AI Vision Analytics) SDK with two pre-installed AI vision applications for Pose Detection and Object Classification with open-source training, a labeling tool, and SOP as demonstrated in the video below narrated in Mandarin but you can enable closed captions for subtitles in English.

YouTube video player

The ADLINK EVA portal also provides tutorials, application templates and resources for proof-of-concept development.

The ADLINK AI Camera Dev Kit is said to be available now, but you’ll need to contact the company to request pricing and order a sample.  More details may be found on the product page.

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One Reply to “NVIDIA Jetson Nano based AI camera devkit enables rapid computer vision prototyping”

  1. As far as I understand NVIDIA Jetson Nano is already phased out, their current JetPack SDK does not support it anymore and you only see very few units left in shops – for astronomical prices.

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