Robot model
MotionCam-3D
Photoneo's MotionCam-3D uses parallel structured light with a custom Mosaic Shutter CMOS sensor, laser projection, and GPU processing to capture…
- Manufacturer
- Photoneo
- Form factor
- other
- Maturity
- research
- Lifecycle
- active
- Website
- photoneo.com ↗
The verified answer
As of Sep 2026, DEPLOY verifies MotionCam-3D, a other by Photoneo (research). 1 source back the record.
Overview
Photoneo's MotionCam-3D uses parallel structured light with a custom Mosaic Shutter CMOS sensor, laser projection, and GPU processing to capture high-resolution 3D of moving objects (e.g., conveyor parts) in real time.
Verified vs. claimed
- Maturity stage
- research(Lab-stage only; no commercial or public deployment reported.)
- Sources on file
- View all sources →
No verified deployments on file. DEPLOY tracks independently-sourced deployment evidence separately from manufacturer capability claims.
Key facts
Sensor suite
Class
Illumination
Processing
Capability
Specs
Tech
Class
Data & sources
Web sources
1
1 source backing this record.View all →
Pricing
No verified price is on record for MotionCam-3D. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 24, 2026
Added to the verified registry
Safety record
No incidents on record for MotionCam-3D.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (1)
Common questions
What is MotionCam-3D?
How much does MotionCam-3D cost?
Is MotionCam-3D actually deployed in the real world?
Who makes MotionCam-3D?
Can you buy MotionCam-3D?
What are alternatives to MotionCam-3D?
How does MotionCam-3D compare to BrainOS?
Is MotionCam-3D a top other?
What is MotionCam-3D's maturity stage?
Where is MotionCam-3D deployed?
Is MotionCam-3D safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-06-28
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-06-28
Maturity + lifecycle
Maturity stage: research
Lifecycle: active
Architectural position
Cohort: other
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for MotionCam-3D.Recent coverage
MotionCam-3D in third-party press
In the press
Recent coverage mentioning MotionCam-3D from third-party publications. Automatically surfaced; not part of the verified registry record.
Zebra Technologies Completes Acquisition of Photoneo
Zebra Technologies completed its acquisition of Photoneo, expanding Zebra's 3D machine vision capabilities for automotive manufacturing, logistics, and other key industries.
Photoneo Transforms E-Commerce Order Fulfillment, Raising a 1 Million Series B
Photoneo raised 1 million in Series B funding to accelerate its 3D vision and AI-powered automation solutions for e-commerce order fulfillment and industrial robotics.
Machine-readable surfaces
- Markdown mirror: /models/photoneo-motioncam-3d.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/8d21fedc-8235-4d54-8be0-a018161d3aeb
- Revision history: /models/photoneo-motioncam-3d/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Video
Photoneo is a leading provider of robotic vision and intelligence. It was founded in 2013 with the mission to give robots eyes and a brain to understand their environments. The main goal is to automate monotonous and ris
Photoneo is a leading provider of robotic vision and intelligence. Based on a patented 3D technology, Photoneo has developed the world’s highest resolution and
Sunlight and shadows - challenging light conditions at Motek 2017, Messe Stuttgart. Our PhoXi doesn't let himself get distracted ;) https://www.photoneo.com/ph
The solution to picking in motion is here. Thanks to the revolutionary 3D vision technology MotionCam-3D you can now pick objects moving at speed of up to 40 me
Bin picking isn’t easy. When parts are piled, tangled, and occluded, even advanced automation struggles. That’s the challenge we’ve set out to solve - and her
Reality vs attention
MotionCam-3D draws attention at the 68th percentile but verifies reality at the insufficient-data level among other robots.
6-month trend
Analysis
Thin deployment record; scale validation still in progress.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Sep 6, 2026