Template: OAK-D Spec

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Overview

Onboard Intel® Movidius™ Myriad™ X vision processor, OAK-D is an AI vision intelligent kit designed and produced by the OpenCV team. Although it is tiny, it integrates a 4K RGB binocular depth camera, IMU and a high-performance AI processing chip to realize the binocular depth visual computing and neural network reasoning. The inertial navigation sensor is integrated into a single camera, allowing users to obtain binocular vision measurement positioning, AI neural network acceleration, and 4K H.265 30-frame real-time streaming with a low power consumption of 2.5W. It meets the needs of users in intelligent driving, intelligent transportation, intelligent security, robots, teaching competitions, etc.
OAK-D-PoE is based on the OAK-D with a PoE power supply circuit that allows a single Cat5e (or higher) Ethernet cable (up to 100 meters (328 feet)) to power and provides a 1,000 Mbps (1 Gbps) full-duplex connection to devices. With the IP67 protection grade shell, it is suitable for users to use in environments that have requirements.
OAK-D-Lite is the most cost-effective product in the OAK USB series. Except for no IMU, the performance is comparable to OAK-D, but the price is lower. It combines depth perception, object detection (neural reasoning), and object tracking, and helps you achieve these functions with a simple and easy-to-use Python API. This OAK-D-Lite includes three onboard cameras (a 4K/30fps RGB camera, two monochrome binocular cameras) and a USB3.0 Type-C interface, you can use it on an ordinary computer, Raspberry Pi, or other popular embedded host to access the OAK through the USB interface.
OAK-D-Pro is an upgraded version of the OAK-D with structured light ranging, featuring an IR laser dot matrix emitter (active depth vision), and IR illuminated LEDs (for "night vision"). It is also smaller, lighter, and more precise than the OAK-D. With built-in high-performance Myriad X VPU, it adopts the active binocular vision technology and structured light, which improves the positioning accuracy to the sub-millimeter level, meeting the needs of close-range high-precision positioning and identification, such as automatic welding robots, the positioning, identification, and calibration of surface defects of parts, etc. and enhancing the robot's perception capabilities.
OAK-D-S2 is more compact than ODK-D. Its functions, performance, and lenses are the same as OAK-D, but smaller in size and lighter in weight, and can be used in scenes where space is limited and quality is required. In addition, compared with OAK-D, OAK-D-S2 removes the 5V power port in the structure and has a larger depth measurement range than OAK-D in performance.

Features

  • Depth measuring range: 0.2 ~ 35m
  • Depth camera: Global shutter 120fps / 3MP 200fps
  • RGB camera: 12MP 60fps / 13MP 60fps
  • AI chip: Intel Myriad X 4TOPS computing performance
  • Video plug flow: 4K 30 fps H.265 plug flow
  • Interface: USB3.0 Type-C (OAK-D/OAK-D-Lite/OAK-D-Pro) / PoE (OAK-D-PoE)
  • Expansion interfaces: GPIO, SPI, UART
  • NN platform support: all platforms
  • Average power consumption: 2.5W (average)
  • Development language: Python, C++
  • Enclosure: Metal enclosure

Camera Specifications

OAK-D/OAK-D-PoE/OAK-D-S2
Camera Color camera Monochrome camera
Shutter Rolling Global
Sensor IMX378 OV9282
Max framerate 60fps 120fps
H.265 framerate 30fps /
Resolution 12MP (4056 × 3040 px/1.55um) 1MP (1280 × 800 px/3um)
FoV 81° DFoV – 68.8° HFoV 81° DFoV – 71.8° HFoV
Lens size 1/2.3 Inch 1/4 Inch
Focus 8cm – ∞ (AutoFocus) 19.6cm – ∞ (FixedFocus)
D-number 2.0 2.0
OAK-D-Lite
Camera Color camera Monochrome camera
Shutter Rolling Global
Sensor IMX214 OV7215
Max framerate 60fps 200fps
H.265 framerate 30fps /
Resolution 13MP (4208 × 3120 px) 0.3MP (640 × 480 px)
FoV 81.3° DFoV 85.6° DFoV
Lens size 1/2.3 Inch 1/2.3 Inch
Focus 8cm – ∞ (FixedFocus) 6.5cm – ∞ (FixedFocus)
D-number 2.2 2.2
OAK-D-Pro
Camera Color Camera Monochrome camera
Shutter Rolling Global
Sensor IMX378 OV9282
Max framerate 60fps 120fps
H.265 framerate 30fps /
Resolution 12MP (4032 × 3040px) 1MP (1280 × 4800px)
FoV 81°DFoV / 69°HFoV / 55°VFoV 81°DFoV / 72°HFoV / 49°VFoV
Lens Size 1/2.3 Inch 1/4 Inch
Focus range 8cm – ∞ (AutoFocus) 19.6cm – ∞ (FixedFocus)
D-number 2.0 2.2
Laser Transmitter Specifications
Laser Transmitter Specification
Model Belago1.1 Dot-Pattern
Number of dots 4700
HFOI*50% 78±7%
VFOI*50% 61°±7%
VSCEL wavelength 940nm
Operating temperature 10°C ~ 60°C
Storage temperature 0°C ~ 80°C
Laser Safety Standards EN/IEC 60825-1 3rd Edition (2014) Class 1 Laser Products

Supported NN

Caffe*
  • AlexNet
  • CaffeNet
  • GoogleNet (Inception) v1, v2, v4
  • VGG family (VGG16, VGG19)
  • SqueezeNet v1.0, v1.1
  • ResNet v1 family (18***, 50, 101, 152)
  • MobileNet (mobilenet-v1-1.0-224, mobilenet-v2)
  • Inception ResNet v2
  • DenseNet family (121,161,169,201)
  • SSD-300, SSD-512, SSD-MobileNet, SSD-GoogleNet, SSD-SqueezeNet
TensorFlow*
  • AlexNet
  • Inception v1, v2, v3, v4
  • Inception ResNet v2
  • MobileNet v1, v2
  • ResNet v1 family (50, 101, 152)
  • ResNet v2 family (50, 101, 152)
  • SqueezeNet v1.0, v1.1
  • VGG family (VGG16, VGG19)
  • Yolo family (yolo-v2, yolo-v3, tiny-yolo-v1, tiny-yolo-v2, tiny-yolo-v3)
  • faster_rcnn_inception_v2, faster_rcnn_resnet101
  • ssd_mobilenet_v1
  • DeepLab-v3+
MXNet*
  • AlexNet and CaffeNet
  • DenseNet family (121,161,169,201)
  • SqueezeNet v1.1
  • MobileNet v1, v2
  • NiN
  • ResNet v1 (101, 152)
  • ResNet v2 (101)
  • SqueezeNet v1.1
  • VGG family (VGG16, VGG19)
  • SSD-Inception-v3, SSD-MobileNet, SSD-ResNet-50, SSD-300