Microsoft’s Azure Kinect AI Camera
I have 5 of these sitting in my office.<p>The quality of image (depth and rgb ) is staggering compared to everything else I've used (zed, realsense, kinect v2, and a couple of others).<p>They can be chained together for near microsecond timing accuracy.<p>The mic array is awesome.
The IMU is awesome.<p>But right now I've set them all back in their boxes.<p>Why? Because without being a vision specialist, there's nothing I can do with these devices.<p>The SDK and sample code is so incredibly bare bones, it is almost laughable.<p>There's no way to make use of those mics for anything.  Its literally not in the SDK.<p>There's no way to make use of multiple devices in any practical manner. No point cloud merging, no calibration or shared space alignment.<p>Then there's the problem that buries deep in the SDK is a binary blob that is the depth engine.  No source, no docs, just a black box.<p>Also, these cameras require a BIG gpu.  Nothing is seemingly happening onboard.  And you're at best limited to 2 kinects per usb3 controller.<p>All that said, I'm still a very happy early adopter and will continue checking in every month or two to see if they've filled in enough critical gaps for me to build on top of.<p>If any devs in Seattle want to collaborate (or know computer vision well enough to fill in some of these gaps for the OSS community) let me know :)