OpenCV has announced their AI Kit called OAK on Kickstarter. It is an MIT-licensed open-source software and Myriad X-based hardware solution for computer vision at any scale. OAK incorporates the OAK API software and two different types of hardware namely OAK-1, a, and OAK-D. The hardware is tiny artificial intelligence (AI) and computer vision (CV) powerhouses, with OAK-D enabling spatial AI leveraging stereo depth in addition to the 4K/30 12MP camera that both models share. With a clock rate of under 30 seconds, the OAK-1 and OAK-D allow anyone to access all the features mentioned above.
If you want to get started in spatial AI, the OAK API is the fastest way, due to the OAK-1 module’s single USB-C connector which provides it with both data and power. The hardware is easy to use, from unboxing the hardware to running an advanced image classifier, it takes less than one minute. OAK ships with neural nets covering which can detect: Faces with mask/no-mask, Age recognition, Emotions recognition, Face detection, Facial Landmark (corners of eyes, mouth, chin, etc.), General object detection (20-class), Pedestrian Detection, and Vehicle detection.
The OAK-1 and OAK-D offer support for Linux, macOS, and Windows hosts. This makes it versatile enough for any prototyping flow no matter the size. You can arrange computer vision + AI workflows with Pipeline Builder, which is a node-based editor that includes previews to ensure that your crops and zooms are passing the right data on to the next step in the process. The hardware offers you feature tracking, hardware-level H.265 support, and 4k output to be used at any time. There are two methods of using the OAK-D to get Spatial AI results, which include Monocular Neural Inference fused with Stereo Depth and Stereo Neural Inference. Both modes have advantages and disadvantages for specific use cases, which will be discussed.
Read more: OPEN SOURCE OAK AI KIT FOR SPATIAL AI SYSTEM
