The'why' of the DepthAI (that satisfyingly rhymes) is we're actually shooting for a final product which we hope will save the lives of people who ride bikes, and help to make bike commuting possible again for many. What we envisioned is a technology-equivalent of a person riding backwards on your bike holding a fog horn and an ambulance-LED strip, who would tap you on the shoulder when they noticed a distracted driver, and would use the LED strip and the horn judiciously to get the attention of distracted drivers - to get them to swerve out of the way. In working towards solving this problem, we discovered there was no solution on the market for the real-time situational awareness needed to accomplish this. So we decided to make it. In doing that, we realized how useful such an embeddable device would be across so many industries, and decided to build it as a platform not only for ourselves, but also for anyone else who could benefit from this real-time object localization (what objects are, and where they are in the physical world). It's the platform we will use to develop Commute Guardian (and other applications), and we hope it will be equally useful to you in your prototypes and products.

Here is another kit for those of you serious about AI and depth, and tracking applications. DepthAI is built around the Myriad VPU. It takes care of depth, AI, and feature tracking, so the included Raspberry Pi Computer 3B module stays at 0% CPU use. DepthA has 3 onboard cameras, standard Pi header, Raspberry Pi Compute Module connector, and other convenient ports for your projects. You can find out more about it here.