[P] DepthAI hardware: RGBd, Myriad X VPU, Object-Tracking, Neural Network Accelerators for Raspberry Pi
We wanted to share with you all about some embedded and low-cost hardware we’ve been working on that combines disparity depth and AI via Intel’s Myriad X VPU. We’ve developed a SoM that’s not much bigger than a US quarter which takes direct image inputs from 3 cameras (2x OV9282, 1x IMX378), processes it, and spits the result back to the host via USB3.1.
We wanted disparity + AI so we could get object localization outputs – an understanding of where and what objects are in our field of view, and we wanted this done fast, with as little latency as possible. Oh, and at the edge. And for low power. Our ultimate goal is actually to develop a rear-facing AI vision system that will alert cyclists of potential danger from distracted drivers. An ADAS for bikes!
There are some Myriad X solutions on the market already, but most use PCIe, so the data pipeline isn’t as direct as Sensor–>Myriad–>Host, and the existing solutions also don’t offer a three camera solution for RGBd. So, we built it!
Hope the shameless plug is OK here (sorry mods!), and if anyone has any questions or comments, we’d love to hear it!