More than 50% of human the cortex is dedicated to visual processing - it is clearly the most important sense for human beings. We are able see our world in amazing clarity of 576 megapixels and process that information in as quickly as 13 milliseconds - or about 75 fps.
We aim to do this by providing best in class hardware combined with an open-source ecosystem that allows for systems to seamlessly engage in continuous learning.
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of the Global Fortune 500
OAK Cameras in Stock
OUR JOURNEY
We began with a bold idea: create technology to save lives. The Commute Guardian aimed to protect cyclists and pedestrians using real-time AI and depth perception. This project inspired our mission to make intelligent vision accessible, leading to the DepthAI platform and innovative hardware that solves real-world challenges.
In 2020, we launched the OAK Kickstarter, introducing OAK-1 and OAK-D for advanced AI vision. Funded in 20 minutes, it raised $1.3M from 6,500+ backers, breaking category records and validating our mission to bring edge AI to real-world applications with accessible, high-performance tools.
OAK-D Lite Kickstarter with 8,000 backers raising $1M and funded in 2 minutes.
In 2022, we evolved our product line to include industrial PoE devices, featuring rugged designs, scalable configurations, and real-time processing capabilities. Tailored for enterprise use, these solutions brought our vision technology to challenging environments, enabling seamless deployments in industries like logistics, automation, and manufacturing.
In 2023, We launched Luxonis Hub, a cloud platform simplifying deployment, version control, and fleet management for vision systems. By providing real-time monitoring and centralized control, Luxonis Hub streamlined operations, reduced complexity, and empowered industries to deploy and manage intelligent vision systems at scale with unmatched ease and reliability.
In 2024, we launched the Series 4 lineup, our next step in advancing edge AI to mimic human-like perception. By processing high-resolution inputs and making real-time decisions locally, these devices reduce latency and enable machines to adapt with precision and speed, bringing vision systems closer to human sensory capabilities than ever before.
We are paving the way for a future where vision systems can autonomously create, deploy, and refine models. By enabling intelligent, self-evolving systems, we’re redefining what’s possible-bringing the potential for machines to perceive, adapt, and improve independently, unlocking opportunities far beyond today’s capabilities.
We prioritize delivering value to our customers above all else, focusing on what matters most to them and solving their challenges with dedication and speed.
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Open Positions
Luxonis is a spatial AI and CV platform that focuses on embedded machine learning and computer vision technology.
Development
Full-time
Remote
Europe
We are looking for an DevOps/MLOps Engineer to join our team and help build scalable machine learning pipelines as well as maintain the required hardware stack.
EE
Full-time
Hybrid
Europe
We are looking for an Electrical Engineer who is passionate about working in a cutting-edge hardware development team in our Prague or Ljubljana offices, where executing various tasks will help develop the next suite of products.
Development
Full-time
Onsite
Europe
We are looking for a ROS developer who is passionate about computer vision to help us integrate DepthAI into ROS world of libraries and projects.
Development
Part-time
Remote
Europe
We are looking for a Computer Vision Engineer to help us extend the DepthAI library with new exciting features such as point-cloud fusion, object pose detection, 3D reconstruction, semantic segmentation and multi-camera calibration.
Development
Part-time
Remote
Europe
Join the Luxonis Hub platform team as a Typescript Developer. You will be instrumental in building the application platform for our cutting-edge next-generation cameras.
Development
Part-time
Remote
Europe
We are looking for a Machine Learning engineer with a strong interest in computer vision.
