Translate process knowledge into an inspection definition.
Specify the product, camera view, region, condition, severity, decision and response before model work begins.
Platform
AI visual inspection software your plant can own and scale.
United Vision gives manufacturing teams one self-service Vision AI platform for defect detection and production-line inspection. Bring qualified cameras and edge devices, keep every production inference at the edge, run United Vision cloud services in a supported cloud account your company chooses and owns, and expand under one factory license.
In brief
AI visual inspection uses computer vision models trained on production images to detect defined defects, conditions or assembly errors. United Vision gives plant teams the workflow to capture evidence, train and validate models, deploy inspections to supported edge devices and update them as products, processes and defect definitions change.
Platform scope
One lifecycle from production image to line decision.
Organize evidence and train against representative production variation.
Label the images that matter, compare candidate models and keep the training evidence connected to its version.
Deploy, monitor, update and repeat.
Run qualified models in the intended edge environment, review outcomes and manage the next release as production changes.
Who uses it
A shared workflow for the people who own quality and production.
Define acceptance.
Set defect definitions, severity, validation evidence and release criteria.
Engineer the line fit.
Qualify imaging, edge compute, interfaces, triggers and response timing.
Own the process.
Prioritize opportunities, coordinate change and use inspection evidence in daily work.
Govern and scale.
Standardize methods, access, versioning and reusable deployment packages across facilities.
Platform evidence
See the lifecycle, not just an algorithm.
Training and evidence
Keep the model connected to the production evidence that shaped it.
Credible inspection requires more than a model file. Teams need traceability across image sets, labels, classes, versions, validation outcomes and production changes.
- Project and dataset organization
- Defect-class definition and revision
- Candidate model comparison
- Version-aware deployment and review
Questions answered
What buyers ask about platform.
What is an AI visual inspection platform?
An AI visual inspection platform uses trained computer vision models to evaluate images for defined manufacturing conditions. United Vision also manages the working lifecycle around the model: production evidence, labels, training, validation, edge deployment, review and controlled updates by plant teams.
How is AI vision different from traditional machine vision?
Traditional machine vision uses engineered rules for stable, measurable conditions. AI vision learns relevant visual patterns from representative examples, which can suit more variable parts, surfaces and defect appearances. The right method depends on the inspection, and some production systems use both.
Can United Vision use existing factory cameras?
Yes, supported existing cameras and customer-selected edge devices can be evaluated against the inspection. The image must show the target condition consistently at the required detail, timing and line speed. United Vision does not require one mandatory proprietary camera and edge stack.
Where do inference and cloud services run?
Production inference always runs on a supported factory-owned edge device close to the line. United Vision cloud services for the governed model lifecycle run in a supported cloud account chosen and owned by the customer, not in a mandatory United Vision-owned SaaS tenant.
How does United Vision remove per-use-case software friction?
One recurring United Vision software license covers unlimited use cases within the licensed factory. Every inspection still needs suitability, imaging, integration and validation, while the next use case does not require another United Vision software license.
How is United Vision different from an appliance-led vision system?
An appliance-led system packages software with a vendor camera or compute appliance. United Vision separates the software from a mandatory proprietary hardware and hosting stack: use qualified cameras, a supported factory-owned edge device for every production inference and a supported cloud account chosen and owned by the customer.
Bring one inspection opportunity. Leave with a clearer path.
A working session is designed around the image source, operating condition, decision, response and ownership model, not a generic product tour.