Show HN: Luxonis – OAK 4: spatial AI camera that runs Linux, with up to 52 TOPS (luxonis.com)

18 points by huntdunbar ↗ HN
Hey everyone. This is Hunter, CPO at Luxonis! We built OAK 4 (www.luxonis.com/oak4) to eliminate the need for cloud reliance or host computers in robotics & industrial automation. We brought Jetson Orin-level compute and Yocto Linux directly to our stereo cameras.

This allows you to run full CV pipelines (detection + depth + logic) entirely on-device, with no dependency on a host PC or cloud streaming. We also integrated it with Hub, our fleet management platform, to handle deployments, OTA updates, and collect "edge case" (Snaps) for model retraining.

For this generation, we shipped a Qualcomm QCS8550. This gives the device a CPU, GPU, AI accelerator, and native depth processing ISP. It achieves 52 TOPS of processing inside an IP67 housing to handle rough whether, shock, and vibration. At 25W peak, the device is designed to run reliably without active cooling.

Our ML team also released Neural Stereo Depth running our proprietary LENS(Luxonis Edge Neural Stereo) models directly on the device. Visit www.luxonis.com to learn more!

7 comments

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Congrats on the launch! What kind of models can you run on the device?
I’m familiar with zed an Realsense but new to this, what are the differences here? How far does the on-board computer get me?
disclaimer I work for Luxonis/ Exciting to see this here after all the work that went into this, curious what people will create with it
Luxonis here - Incredibly proud of this launch. Use cases here are endless with the on-devie capability rivaling a Jetson Orin Nano. Excited to here how far and smart these devices can go.

Many more exciting launches coming soon - stay tuned for more on Neural Stereo

What are some of the applications for this? I see a lot of agriculture and warehouse in the launch video but what problems does a stereo camera deliver value for?
Do users get root access? Can we build custom images?
Not for the OS at the moment, but we offer this option to some enterprise clients.

Otherwise, you can easily connect via SSH and install any dependencies. Alternatively, you can use our ecosystem to build and run custom containerized applications.