Luxonis | Robotic Vision

Giving machines human-like vision. Edge AI cameras and open software that make Physical AI simple. Building the vision for a better future

[Luxonis | Robotic Vision @luxonis]

Introducing OAK 4 FFC, the first OAK Modular device built on OAK 4.

Your cameras, wherever the robot needs to see. One board for depth and AI.

[Luxonis | Robotic Vision @luxonis]

@MaxMclaughlin16 It's that easy to build a product

[Luxonis | Robotic Vision @luxonis]

RT @MaxMclaughlin16: Quick weekend build: Dart scorekeeping app running fully standalone on 48 MP OAK-4S, streaming straight to my TV

Abso…

[Luxonis | Robotic Vision @luxonis]

We are giving away a free OAK 4 FFC!

Comment on the @OpenRoboticsOrg community thread what your use case would be and our team will be hand picking the winner.

Submissions close November 3rd, best of luck!

[Luxonis | Robotic Vision @luxonis]

@OpenRoboticsOrg Can't wait to see who wins! Best of luck to all who are entering!

[Robert Scoble @Scobleizer]

This is next level for hardware!

Robots don't always have room for a camera built for someone else's machine.

@luxonis just launched OAK 4 FFC, the first OAK Modular board on OAK 4.

You pick up to five cameras and put them wherever the robot needs to see.

One board, 70 by 53 mm, runs the sync, calibration, stereo depth, and AI at 52 TOPS.

You enter where the cameras sit in OAK Viewer.

Dynamic Calibration then refines it from the scene, no printed target. Every camera captures at the same instant, so panorama and bird's eye stitching run on the board.

It can be the robot's main computer or its dedicated vision system. Built for humanoids, drones, and other machines where a standard camera doesn't fit.

Developer Kit is $849.

Orders open today, shipping in November.

https://t.co/2ktwuwMhuF

[Luxonis | Robotic Vision @luxonis]

Don't forget to enter into our giveaway with @OpenRoboticsOrg to win a free OAK 4 FFC!
https://t.co/SupGJcJDXG

[Luxonis | Robotic Vision @luxonis]

We are giving away a free OAK 4 FFC!

Comment on the @OpenRoboticsOrg community thread what your use case would be and our team will be hand picking the winner.

Submissions close November 3rd, best of luck!

[Luxonis | Robotic Vision @luxonis]

Introducing OAK 4 FFC, the first OAK Modular device built on OAK 4.

Your cameras, wherever the robot needs to see. One board for depth and AI.

[Luxonis | Robotic Vision @luxonis]

@OpenRoboticsOrg For more information on the OAK 4 FFC: https://t.co/DMPuQy12pD

[Luxonis | Robotic Vision @luxonis]

We are giving away a free OAK 4 FFC!

Comment on the @OpenRoboticsOrg community thread what your use case would be and our team will be hand picking the winner.

Submissions close November 3rd, best of luck!

[Open Robotics @OpenRoboticsOrg]

Win a OAK 4 FFC board-level vision computer from our new Silver OSRA member @Luxonis! To celebrate their membership and the simultaneous release of the OAK 4 FFC, Luxonis is giving away a dev kit to a community member: https://t.co/SnTxVbV3NU

[Luxonis | Robotic Vision @luxonis]

https://t.co/U1JJi47nj0

[Luxonis | Robotic Vision @luxonis]

Introducing OAK 4 FFC, the first OAK Modular device built on OAK 4.

Your cameras, wherever the robot needs to see. One board for depth and AI.

[Open Robotics @OpenRoboticsOrg]

Win a OAK 4 FFC board-level vision computer from our new Silver OSRA member @Luxonis! To celebrate their membership and the simultaneous release of the OAK 4 FFC, Luxonis is giving away a dev kit to a community member: https://t.co/SnTxVbV3NU

[Luxonis | Robotic Vision @luxonis]

@Hacksterio A true hacker-friendly AI vision device. Open source as well for those who want to build off of it.

Thanks @Hacksterio!

[Luxonis | Robotic Vision @luxonis]

Learn more and order now: https://t.co/DMPuQy12pD

[Luxonis | Robotic Vision @luxonis]

Build an OAK app around a VLM in about 15 minutes.

One prompt to a coding agent with the Luxonis Agent Toolkit gets you live video, a scene description every 15 seconds from LFM2.5-VL-450M on OAK4, and a searchable history of every frame it saw.

[Luxonis | Robotic Vision @luxonis]

You can now run vision-language models on OAK4.

Ask the camera if a pallet is fully wrapped and get an answer, generated entirely on-device.

New llama.cpp and ONNX Runtime support means no conversion step for VLMs and other larger models. Examples are live, more coming soon

[Luxonis | Robotic Vision @luxonis]

Custom model training now in Luxonis Hub, Part 2:

Label your data, train, and convert the model for OAK in one workflow. Here's how each step works! 🧵👇

[Luxonis | Robotic Vision @luxonis]

October 27th, 2026.

[Luxonis | Robotic Vision @luxonis]

October 27th, 2026.

[Luxonis | Robotic Vision @luxonis]

Release: https://t.co/g7TTWchFYR
MCP: https://t.co/Od6rODeJIO

[Luxonis | Robotic Vision @luxonis]

Test with a prompt, a link to the release, and our MCP installed

[Max Mclaughlin @MaxMclaughlin16]

Don't want to spend $20k+ to capture accurate point clouds of the items in your bin?

Instead, deploy a few OAK 4s running our large Neural Stereo model and fuse their point clouds

Full release: https://t.co/BUHGqwTuIY