Measure where the process can still respond.
A qualified optical check can support routing, review or process feedback near the operation that creates or assembles the feature.
Use Case
Estimate configured dimensions without contact when the required tolerance can be supported by the camera, optics, calibration, fixture and part presentation.
AI optical dimensional inspection uses a calibrated image setup to estimate configured lengths, diameters, gaps or positions without contact. It is appropriate when the required tolerance can be supported by the camera, optics, calibration, fixture and part presentation. United Vision manages the visual decision and plant-owned model workflow.
Inspection sequence
The film shows the complete measurement condition rather than an isolated overlay. A part is held in a repeatable nest, the configured feature is measured against the approved limit, and material flow resumes only after the decision.
Operational value
Some dimensions can be checked at the line without contact when the optical system and presentation support the required tolerance. The value comes from a repeatable measurement decision connected to production, not from placing a graphic over an image.
A qualified optical check can support routing, review or process feedback near the operation that creates or assembles the feature.
A stable nest, qualified optics and calibration turn image pixels into a defensible estimate for the configured feature.
Once the imaging station and workflow are established, other optically suitable dimensions can be assessed without assuming every tolerance belongs in the same system.
Plant-owned lifecycle
United Vision connects this use case to the same plant-controlled workflow used to implement, update and extend visual inspection across the factory.
Collect calibrated images across acceptable parts, out-of-limit examples, fixtures and normal production variation.
Specify the feature, nominal value, tolerance, measurement method and decision required by the process.
Establish calibration, edge or feature detection and the plant-approved comparison logic.
Run the qualified measurement on supported hardware and connect the result to the intended operating response.
Verify calibration and requalify when optics, fixtures, part geometry, working distance or tolerances change.
Explore the complete plant-controlled inspection workflow, deployment-readiness questions and customer data and IP position.
Qualification
The required measurement uncertainty must be comfortably supported by the complete imaging system and the way the part is presented.
Define the feature, nominal value, tolerance, required uncertainty, sampling expectation and whether the result is for process guidance or acceptance.
Evaluate resolution, lens distortion, working distance, depth variation, lighting, edge contrast and calibration traceability across the field of view.
Qualify fixturing, orientation, vibration, motion and occlusion. If the feature cannot be seen consistently, software cannot recover the missing measurement evidence.
Buyer questions
Direct answers for quality, operations, automation and manufacturing engineering teams evaluating this use case.
Depending on the qualified image setup, optical inspection may estimate configured lengths, diameters, gaps, radii, positions or edge relationships. The required tolerance, feature visibility and measurement uncertainty determine suitability.
Not as a general rule. A camera-based line check and a coordinate measuring machine serve different measurement needs. The plant should decide whether the optical method is suitable for process monitoring, screening or acceptance based on metrology requirements.
There is no responsible universal accuracy figure. Capability depends on resolution, optics, calibration, working distance, lens distortion, lighting, fixture repeatability, feature contrast, environmental conditions and the required measurement range.
Not always, but motion changes exposure, blur, trigger timing and achievable uncertainty. The film uses a repeatable nest because controlled presentation can make a demanding measurement more defensible. The actual method must be qualified for the line.
It can be evaluated, but a camera suitable for presence detection may not support dimensional measurement. Sensor resolution, lens, distortion, calibration stability, mount, working distance and image access must match the tolerance need.
Production inference always runs on a supported factory-owned edge device close to the line. The camera-to-verdict path does not depend on a round trip to a vendor cloud. Edge hardware, latency, interfaces and failure behavior are qualified for this inspection.
No. United Vision is hardware- and cloud-agnostic within supported configurations. The plant can bring qualified cameras and edge devices, and United Vision cloud services run in a supported cloud account chosen and owned by the customer.
Not within the licensed factory. One factory license supports unlimited United Vision use cases. The inspection still requires suitability assessment, imaging, integration and production validation, and any hardware or services are scoped separately.
Related guidance
Use the supporting guidance to evaluate readiness, select the right technical approach and keep the inspection current after deployment.
See where deterministic metrology, learned variation or a combined approach best fits the decision.
Read moreTest value, visibility, data readiness and response clarity before committing to production.
Read moreConnect dimensional, surface and thermal checks to the production workflows around them.
Read moreBring drawings or specifications, representative parts, tolerance and uncertainty requirements, current measurement method, cycle time and available camera or fixture details.