OAK-D W
Prices incl. GST
Ready to ship today,
Delivery time appr. 1-3 workdays.
1 in stock
- Product Code: Luxonis-A00572
- MPN: A00572
Overview : The OAK-D W is a Wide Field of View (FoV) version of the OAK-D S2. Looking for the Normal FOV OAK-D S2? You can find it here.
Hardware specifications : This OAK camera uses USB-C cable for communication and power. It supports both USB2 and USB3 (5Gbps / 10Gbps).
Sensor specifications :Wide FOV IMX378 & Wide FOV OV9782
For the wide FOV version you can select either 120° DFOV IMX378 (12MP) or 150° DFOV color OV9782 (1MP) color camera.
| Camera Specs | Color camera | Stereo pair |
|---|---|---|
| Sensor | ||
| Shutter | rolling | global |
| FOV (D/H/V) | 120°/95°/70° | 150°/128°/80° |
| Rectified Depth FOV | 106°/97°/70° | |
| Resolution | 12MP (4032x3040) | 1MP (1280x800) |
| Focus | FF: 60cm - ∞ | FF: 18cm - ∞ |
| Max Framerate | 60 FPS | 120 FPS |
| Pixel size | 1.55µm x 1.55µm | 3µm x 3µm |
Wide FOV lenses can only be fixed-focus.
Left: normal FOV, Right: Wide FOV
RVC2 inside : This OAK device is built on top of the RVC2. Main features:
4 TOPS of processing power (1.4 TOPS for AI)
Run any AI model, even custom architectured/built ones - models need to be converted.
Encoding: H.264, H.265, MJPEG - 4K/30FPS, 1080P/60FPS
Computer vision: warp/dewarp, resize, crop via ImageManip node, edge detection, feature tracking. You can also run custom CV functions
Stereo depth perception with filtering, post-processing, RGB-depth alignment, and high configurability
Object tracking: 2D and 3D tracking with ObjectTracker node
Dimensions and Weight
Weight: 91g
Depth perception :This OAK camera has a baseline of 7.5cm - the distance between left and right stereo camera. Minimal and maximal depth perception depends on camera FOV, resolution, and baseline - more information here.
Min perceivable distance: ~20cm (400P OR 800P, extended), ~37cm (800P)
Max perceivable distance: ~21 meters
Extended means that StereoDepth node has Extended disparity mode enabled, more information here. Maximum perceivable distance calculation here.