OAK-D W
The OAK-D W is a Series 2 OAK camera offering 4 TOPS processing power and the ability to run any AI model. It features a Wide Field of View (DFOV is ~120°), making it ideal for projects that require broader coverage compared to standard models.
Main Features:
- USB-C connector for both power and communication, supporting USB2 and USB3 protocols (5Gbps / 10Gbps)
- 4 TOPS of processing power (1.4 TOPS for AI)
- Run any AI model, even custom architectured/built ones
- Encoding: H.264, H.265, MJPEG - 4K/30FPS, 1080P/60FPS
- Computer vision: warp/dewarp, resize, crop, edge detection, feature tracking
- Stereo depth perception at 120 FPS with filtering
- Object tracking: 2D and 3D tracking
- Dimension: 97x29.5x22.9 mm
- Weight: 91g
Available in two variants:
The OAK-D W is available in two variants: standard version featuring the IMX378 RGB camera or special version based on the OV9782 RGB camera.
Central RGB Camera Specifications:
|
Sensor |
IMX378 |
OV9782 |
|
DFOV / HFOV / VFOV |
120° / 95° / 70° |
150°/127°/79.5° |
|
Resolution |
12MP (4032x3040) |
1MP (1280x800) |
|
Focus |
FF: 60cm - ∞ |
FF: 19.6 cm - ∞ |
|
Max Framerate |
60 FPS |
60 FPS |
Stereo Pair Cameras Specification:
|
Sensor |
OV9282 |
|
DFOV / HFOV / VFOV |
150°/127°/79.5° |
|
Resolution |
1MP (1280x800) |
|
Focus |
FF: 18 cm - ∞ |
|
Max Framerate |
120 FPS |
Documentation:
Package includes:
- OAK-D W camera
- Cable USB-CA-1m
Part Numbers:
OAK-D W (IMX378): A00572
OAK-D W (OV9782): OAK-D-W-C15
Shipping
Returns
Help
Resources
We ship all over the world (except for embargoed countries). Shipping cost is based on location and calculated on checkout. We provide multiple shipping carriers services.
We ship from Hong Kong. Import taxes and fees may apply.
Alternative shipping options available. See our distributors list.
We want you to be 100% satisfied with your purchase. Items can be returned or exchanged within 60 days of delivery. Please contact us at support@luxonis.com for details.
For help, please contact us at support@luxonis.com
For more information, please go to Hardware Documentation, DepthAI Documentation and GitHub Repository. You can also join us on Discord.