Hi,

This week you'll learn about OAK-D: Understanding and Running Neural Network Inference with DepthAI API.

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Over the years, object detection has evolved from simply detecting items in a 2D image to something much more complex. There are several algorithms and approaches which can give you great object detection results, but to make 100% use of the information, it is integral that we also figure out a solution to determine the depth of those items. 

Previously, we introduced you to the beautiful world of the OpenCV AI Kit (OAK). These modular deep learning (DL) products have tremendous potential to bolster computer vision tasks and ideas. But that's the hardware side of things. Without proper software, even something as strong as Iron Man's suit would only be a piece of excess tin. 

Today, we introduce you to DepthAI, a complete ecosystem of cutting-edge hardware and software that transforms an OAK-D device into a DL beast. 

The big picture: DepthAI is a spatial AI platform that enables machines to view the world similarly to how people identify items or characteristics and their locations in the real world. It aims to deliver state-of-the-art solutions and performance in real-world applications using edge devices.

How it works: Built around the Intel Movidius Visual Processing Unit (VPU), the DepthAI platform has the potential to perform 4 trillion operations per second, ensuring flawless real-time execution. Furthermore, it combines the task of depth perception with an easy-to-use Python API. 

Our thoughts: Combining the task of object detection with depth perception is an ingenious way of advancing research in this domain. DepthAI flawlessly accomplishes its intended use as a super-powered neural network accelerator excelling at combining vision tasks with depth perception. 

Yes, but: Initially, it can be a bit overwhelming to understand the workings of each node that we have discussed in the DepthAI SDK, but it is done so that nothing is left to abstraction. 

Stay smart: Be sure you understand how each node and connection works. Having a grasp of how DepthAI works can tremendously bolster your approaches to DL problems using OAK-D.

Click here to read the full tutorial

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