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Luxonis

OAK-D W

OAK-D W

SKU:Luxonis-A00572

Regular price Rs. 36,989.00
Regular price Sale price Rs. 36,989.00
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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

IMX378

OV9282

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.

Wide FOV lenses (right)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

../_images/dimensions1.png

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.

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