This website is outdated!

Latest docs available at docs.luxonis.com

DepthAI USB3 with onboard cameras (OAK-D)

BW1098OBC

screenshot

Use DepthAI on your existing host. Since the AI/vision processing is done on the Myriad X, a typical desktop could handle tens of DepthAIs plugged in (the effective limit is how many USB ports the host can handle).

Color Camera Specifications

  • 4K, 60 Hz Video (max 4K/30fps encoded h.265)
  • 12 MP Stills
  • 4056 x 3040 pixels
  • 81 DFOV°
  • 68.8 HFOV°
  • Lens Size: 1/2.3 inch
  • AutoFocus: 8 cm - ∞
  • F-number: 2.0

Stereo Camera Specifications

  • 720p, 120 Hz Video
  • Synchronized Global Shutter
  • Excellent Low-light
  • 1280 x 720 pixels
  • 83 DFOV°
  • 71 HFOV°
  • 56 VFOV°
  • Lens Size: 1/2.3 inch
  • Fixed Focus: 19.6 cm - ∞
  • F-number: 2.2
  • Sensor Dynamic Range: 68dB

Requirements

What’s in the box?

  • DepthAI USB3 with onboard cameras (OAK-D) Carrier Board
  • USB3C cable (6 ft.)
  • Power Supply

Setup

Follow the steps below to setup your DepthAI device.

Connect your host to the DepthAI USB carrier board

Connect the DepthAI USB power supply (included)

Install the Python DepthAI API

See our instructions.

Download and run DepthAI Python examples

We’ll execute a DepthAI example Python script to ensure your setup is configured correctly. Follow these steps to test DepthAI:

  1. Start a terminal session.
  2. Access your local copy of depthai.
     cd [depthai repo]
    
  3. Run python3 depthai_demo.py.
    The script launches a window, starts the cameras, and displays a video stream annotated with object localization metadata:

    object localization demo

    In the screenshot above, DepthAI identified a tv monitor (1.286 m from the camera) and a chair (3.711 m from the camera). See the list of object labels in our pre-trained OpenVINO model tutorial.

Explore Tutorials, Code Samples, and Custom Training

Now that your DepthAI device is running, explore the tutorials, code samples, and free online custom training notebooks on the left of this docs page.