oak-hardware

Open Source OAK Hardware designs in Altium

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Open Source OAK Hardware designs in Altium

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

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HN mentions by year2 dated mentions

Observed mentions: 2020-07-08 14:41:12 UTC to 2024-09-17 02:59:16 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	1	1
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	0	0
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	0	0
2023	2023-01-01 00:00:00 UTC	2024-01-01 00:00:00 UTC	0	0
2024	2024-01-01 00:00:00 UTC	2025-01-01 00:00:00 UTC	1	1

What Hacker News says

2 sources

FloatArtifact·Sep 17, 2024

Thank you, something to think about! $5000 to $6000 is a lot to swallow. I wish luxonis would get into some eye tracking hardware the OAK-D Pro seems so close to a monitor mounted eye tracking solution. https://www.luxonis.com/ https://github.com/luxonis/depthai-hardware/issues/114#issue... This does not fit my use case but seems like an interesting project. https://polar.sh/NativeSensors/posts/eyepather-new-tool-in-e... I feel like the field of eye tracking is entrenched so deep into research that it takes away from accessibility. It's not just the cost. Tobii is a good example where the hardware is capable but locks out accessibility from users so it doesn't cannibalize from sales from research/industry.

In Ask HN: Recommendations for Eye Tracking Hardware?

Luxonis-Brandon·Jul 8, 2020

Thanks for the kind words. Brandon the founder here. :-) So although I could see how that quote could appear like that, the quote is not kissing the ring. We scoured the whole semiconductor start up scene to find a chip that could be used for this. There are only 2 chips (as I'm aware, as of this writing) that can be used in such a way: 1. Intel Movidius Myriad X 2. Inuitive NU4000AI. And the Inuitive, until super recently (i.e. 1.5 years after we have already built hardware off the Myriad X) was not ready to be used (had tape-out issues at the fab). So this made the Myriad X the only chip that (1) had the capabilities needed and (2) was actually available and in production. In terms of our open-source nature, the latter is what we've implemented - where we have closed source binaries running on the Myriad X - which then have a slew of

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open-source counterparts on the host. Sorry if this came off disingenuous. Do you have advice on how to phrase it in a better way? https://github.com/luxonis/depthai-hardware - DepthAI hardware designs themselves. https://github.com/luxonis/depthai - Python Interface and Examples https://github.com/luxonis/depthai-api - C++ Core and C++ API https://github.com/luxonis/depthai-ml-training - Online AI/ML training leveraging Google Colab (so it’s free) https://github.com/luxonis/depthai-experiments - Experiments showing how to use DepthAI. The above includes open source hardware, core capabilities in C++ which can be cross-compiled for various hosts, and open-source training notebooks and use-case examples. So the goal of open-sourcing all that we can (including hardware) is to enable folks who have their own applications to leverage this, modify it, use it, etc. w/out having to even talk to us. We cannot open-source the code that runs on the Myriad X however, as then we wouldn't have a way to monetize, and would have to give up on the mission. (That, and we're also not allowed to.) Thoughts? Thanks, Brandon

In Luxonis wants to use computer vision to protect cyclists