Stereo Depth Cameras
Complete stereo depth cameras that see in three dimensions out of the box. Choose standard models or versions with infrared pass filters for dependable active-stereo performance in low or uneven light.
STANDARDIR-PASSUSB
Built for physical AI
Give machines
Give machines
depth perception
Real-time three-dimensional vision for robots, vehicles, and autonomous systems — engineered to perceive the physical world with millimeter-level precision.
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NAOMN gives machines depth, motion, and spatial understanding — indoors, outdoors, and everywhere they need to move.
Millimeter accuracyDepth resolved to the millimeter, delivered in real time for dynamic scenes.
Stereo + onboardStereo depth with onboard processing options, so perception runs on the device.
Rugged & modularFrom sealed industrial bodies to board-level modules and silicon you build into your own designs.
Developer SDKAn SDK with samples, documentation, and tutorials to reach production faster.
A new chapter
Reliable, real-time three-dimensional vision is becoming essential infrastructure for machines that move through the physical world. As robotics and automation expand, NAOMN builds the sensors and the processing that let robots and autonomous systems navigate, perceive, and act with millimeter-level precision. We're entering this chapter as an independent business — backed by new investment and focused entirely on AI-powered vision.
Stereo depth cameras that resolve the world in three dimensions, delivering millimeter-level accuracy in real time.
Onboard processing turns raw stereo into usable depth, motion, and spatial understanding — frame after frame.
From humanoid and mobile robots to warehouse automation, retail, and access control.
The stack
We build the sensors and the silicon — complete cameras, depth modules, a dedicated vision processor, and ASIC cards — so you can move from prototype to production without engineering stereo depth from scratch.
One vision stack
Everything a machine needs to see in 3D
NAOMN replaces piecemeal vision rigs with cameras, modules, processors, and an SDK engineered to work together — from the lens to the last line of code. Capture stereo, resolve depth on-device, and stream motion and spatial data straight into your application.
Hardware & silicon
From complete cameras to the silicon inside
The portfolio centers on stereo depth cameras and extends all the way down to the chip — modules, a processor, and ASIC cards — so you can buy a finished sensor or build depth sensing directly into your own design.
Ruggedized Industrial Cameras
Sealed, ruggedized bodies built to withstand dust and water for outdoor and harsh environments — wired over high-bandwidth automotive-style connectors for long, reliable cable runs.
IP-RATEDDUST & WATERAUTOMOTIVE COAX
Depth Modules
Board-level depth modules that drop stereo sensing straight into your product, with a smaller, lighter footprint than a full camera enclosure — ideal when space and weight are tight.
BOARD-LEVELCOMPACT
Vision Processor
A dedicated vision processor that turns raw stereo into depth, motion, and spatial data on-device — keeping latency low and freeing the host so perception runs even on power-conscious platforms.
ONBOARDREAL-TIME
ASIC Cards
Purpose-built ASIC cards that bring stereo depth into your own designs with greater flexibility, lower cost, and a more compact form factor than building a stereo-depth system yourself.
SILICONINTEGRATE
Facial Authentication & Biometrics
A dedicated line for facial authentication and biometric identification — sensor, optics, and processing engineered together for security, privacy, reliability, and speed.
SECUREPRIVATEFAST
Connect your way. Several models use high-bandwidth automotive-style connectors for demanding installs; at least one offers Power over Ethernet for single-cable runs; others connect over plain USB for the desk and the bench.
The thesis
Machines are moving into the physical world faster than they can understand it. The robots, vehicles, and systems now entering warehouses, sidewalks, and storefronts need to perceive depth, motion, and space the way people do — instantly and reliably. NAOMN builds the eyes and the silicon that make that perception real.
Why stereo
Stereo depth reads the world the way two eyes do — triangulating distance from parallax. It resolves geometry directly, in real time, so a machine knows not just what it sees but how far away it is, to the millimeter.
Why onboard
Processing depth on the device keeps latency low and the pipeline self-contained. With a dedicated vision processor and ASIC options, perception keeps running whether or not there's a host GPU to lean on.
NAOMN — vision for physical AI
How it works
From sensor to spatial understanding
Depth, motion, and spatial data flow from the sensor into your application in real time — so robots and systems can navigate, track objects, and act with confidence in dynamic settings, changing light, and weather.
ROBOTICS
INDUSTRIAL AUTOMATION
ACCESS CONTROL
01 / SENSE
Capture stereo
Two synchronized views capture the scene, with optional IR-pass for low or uneven light.
02 / RESOLVE
Compute depth on-device
The vision processor turns parallax into a live depth map, motion, and spatial data.
03 / ACT
Stream to your app
Depth and detections flow into your stack through the SDK, ready to drive decisions.
Drops into your design
Outfit any machine with NAOMN hardware — complete cameras, depth modules, a vision processor, or ASIC cards — and integrate depth sensing with lower cost and a more compact form factor than building it yourself.
Millimeter precision, in real time
Millimeter-level depth accuracy delivered in real time powers robotics, object tracking, and spatial awareness — reliable from warehouse floors to outdoor sites in challenging lighting and weather.
Scales from prototype to production
A scalable, modular approach with onboard processing options — plus an SDK, code samples, documentation, and tutorials — takes you from first prototype to full production without re-architecting.
Where NAOMN goes to work
Vision for the machines reshaping every industry
Wherever a machine has to interpret its surroundings, depth perception is the foundation. NAOMN's sensors and processing serve a wide range of settings — and case studies span many more.
Humanoid & Mobile Robotics
Depth and spatial awareness for humanoid and mobile robots that navigate dynamic, unstructured spaces. NAOMN recently unveiled autonomous-navigation capabilities for humanoid robots.
Navigate · perceive · operateWarehouse & Industrial Automation
Reliable perception for automation on the warehouse floor and the factory line, where machines must track objects, gauge clearances, and avoid obstacles in real time — through dust, glare, and motion.
Track · measure · avoidRetail
Spatial sensing for retail environments — understanding space, movement, and presence to power smarter, more responsive systems that respond to how people and goods actually move.
Sense · understand · respondAccess Control & Security
Facial authentication and depth-aware access control engineered for security, privacy, reliability, and speed. NAOMN announced an investment and partnership to advance vision-based access-control and security.
Authenticate · admit · protectA growing record. Case studies span a wide range of industries, and NAOMN recently demonstrated its full depth-camera portfolio at industry events — alongside new autonomous-navigation work for humanoid robots and fresh investment in vision-based access control.
Build with NAOMN
Request SDK access
An SDK that speaks depth
Start from working code. The NAOMN SDK ships with code samples, documentation, tutorials, and resources, so your team can go from unboxing a camera to a live depth stream in an afternoon — then scale the same code from prototype to production.
SDK
stream depth & motion
Documentation
every API, explained
Tutorials
step-by-step guides
Code samples
copy, run, build
depth_stream.py
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import naomn
# open the first connected depth camera
cam = naomn.open(stream="stereo_depth")
cam.configure(units="mm", ir_pass=True)
with cam.stream() as depth:
for frame in depth:
cloud = frame.point_cloud() # Nx3, mm
objects = frame.detections() # boxes + range
motion = frame.imu() # 6-axis
navigate(cloud, objects, motion)
Get in touch
Discover what depth perception unlocks for your machines
Tell us what you're building. Our team will help you choose the right cameras, modules, or silicon, scope an integration, and get the SDK into your hands. Whether you're prototyping a humanoid or scaling a fleet, NAOMN can help your machines see in three dimensions.
Phone
Email
Headquarters
626 Wilshire Blvd, Suite 410
Los Angeles, CA 90017
Los Angeles, CA 90017
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