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Luxonis

OAK 4: spatial AI camera that runs Linux, with up to 52 TOPS

Details

External ID
46231792
Source
HN
Company
—
Product
Luxonis
Website domain
luxonis.com
Launched
Dec. 11, 2025
Cohort
—
Upvotes
18
Upvotes percentile
0.6354961832061069
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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!

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Hardware & robotics
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
spatial ai camera that runs linux
Manually corrected
False

Could you build this?

No Luxonis OAK 4 is custom physical hardware featuring stereo vision sensors, embedded Yocto Linux, onboard neural accelerator ASICs (52 TOPS), and industrial IP67 casing.

What it would actually take: Building this requires custom PCB layout, embedded Linux/BSP development, sensor fusion engineering (stereo CMOS + IMU synchronization), custom thermal and mechanical housing design, and low-level NPU/VPU driver optimization to run real-time neural stereo depth algorithms at low power.

Discussion

12 comments analyzed.

Competitors mentioned: Jetson Orin Nano, ZED cameras, RealSense cameras

Concerns raised: Root access and custom image building capabilities, Whether on-device compute is sufficient without host PC

Feature requests: OS-level support (currently enterprise-only), Native root access and custom containerized applications

Competitors

Other products that read as similar to this one — 28 launches clear the similarity bar, closest 8 shown.

Attention rank: #11 of 29 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 37 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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