Get visual inspection use cases off the backlog and onto the line.

AI visual inspection uses models trained on representative production images to identify defined defects, conditions, objects, measurements, text, or anomalies. It can support manufacturing quality checks where visual conditions vary, while plant teams remain responsible for defining, validating, and acting on the inspection.

United Vision is hardware- and cloud-agnostic Vision AI for manufacturing. Plants can bring supported cameras and edge devices, keep production inference at the edge, run United Vision cloud services in a supported cloud account they choose and own, and add unlimited use cases under one factory license.

United Vision gives plant teams control of the inspection-model lifecycle and supports unlimited use cases under one factory license. Teams can capture examples, train, deploy, update, and repeat without making every new inspection another United Vision software purchase or specialist-led model project.

Plant teams can control the working model lifecycle largely on their own: capture production examples, define and train the inspection, deploy it to a supported factory-owned edge device, retrain it as conditions change, and repeat the process for additional use cases. No data scientists are required for routine use, and implementation support remains available.

United Vision supports qualified customer-owned cameras and edge devices. The equipment, image quality, interfaces, line conditions and inspection requirements are evaluated together; compatibility is not universal and no mandatory United Vision camera or edge appliance is required.

United Vision uses a recurring factory software license with unlimited use cases within the licensed factory. Adding an inspection does not require another United Vision software license for that use case. Hardware, customer-cloud consumption, integration, validation and services are scoped separately. Confirm the factory boundary, renewal terms and deployment scope in the proposal.

No. Camera placement, lighting, integration, validation, and operational response still need to fit the use case. Self-service means the plant is not forced to depend on an outside specialist for every model change or new inspection.

The current capability set includes surface and X-ray inspection, dimensional gauging, OCR and character reading, assembly and presence checks, label and barcode verification, anomaly detection, count and sort workflows, and configured safety monitoring.

The customer owns its trained models, plant-floor images and customer-specific inspection IP. Training runs in a supported cloud account the customer chooses and owns. This does not transfer ownership of the United Vision platform software; licensing, access and any export arrangements are defined in the agreement.

Start with a high-value inspection where the condition, visual evidence, and operating response can be clearly defined. Prove that workflow, then decide where expansion makes sense.

Establish a baseline for the inspection: defect escapes, scrap, rework, false rejects and the current effort required. Estimate improvements using a validated trial, then compare the cash benefit over the same period with software, equipment, cloud, integration, validation and operating costs. Count released staff time as capacity unless it produces an actual cash saving, and avoid counting the same improvement twice. United Vision's three-year business-case worksheet lets you enter your own assumptions; it does not promise a particular return.

Include the recurring factory software license, cameras and lighting, edge compute, cloud consumption, integration, implementation, validation, training and ongoing maintenance. Reuse of suitable equipment can avoid a purchase, but qualification still matters. Budget for new use cases and production changes across the period you are evaluating, not just the first installation.

Within the licensed factory, the additional use case is covered by the same United Vision software license. Your team still defines the condition, supplies representative images and validates the result. A new inspection may require additional imaging, edge capacity, cloud usage, integration or services. The advantage is removing a separate software-license decision for each use case, not claiming every deployment is free.

Operations and quality teams bring process knowledge, define acceptable results and provide production examples. Engineering teams turn those requirements into a working inspection by qualifying cameras, lighting, edge devices and line interfaces; IT governs the customer-owned cloud environment and access. The teams use United Vision's no-code workflow to train and validate models, deploy them to the factory edge and update them as conditions change. They agree acceptance criteria, operating responses and release responsibilities together, with implementation partners supporting integration, maintenance and rollout where needed.