See the detail.
Control the
quality.
Complete inspection systems for automotive manufacturing. Industrial perception, AI and automation connected to a clear quality decision.
Quality decisions.
Production realities.
Product variation, scarce defect samples and tight cycles shape the inspection system.
The right decision.
A clear reference.
Evaluate missed defects and unnecessary rejects separately. Match measurement methods to the feature, datum and tolerance.
The complete check.
Within the cycle.
Coordinate handling, movement, image acquisition, inference and controls around the required production timing.
Stable operation.
Defined recovery.
Plan verification, recipe control, incomplete checks and recovery, including changes in materials and product configuration.
A system that works.
A cost that makes sense.
Consider review, rework, changeover, maintenance and downtime when evaluating the total cost of inspection.
Every feature.
Part of the whole.
Explore connected checks for bumper modules and automotive assemblies.
The right part.
In the right place.
Check presence, orientation and visible engagement against the correct product configuration.
- Engineering considerations
- Part identity, fixtures and visibility
- Evidence
- Feature-level results and exception routing
Measure what
actually matters.
Evaluate local position, gap or profile using a measurement method matched to the tolerance and surface.
- Engineering considerations
- Datums, calibration and measurement uncertainty
- Evidence
- Measured values and a defined decision rule
Read the surface.
Understand the context.
Separate relevant surface conditions from acceptable material variation under controlled illumination.
- Engineering considerations
- Defect definitions, boundary samples and lighting
- Evidence
- Localized findings for review or disposition
Appearance is
one part of the answer.
Connect suitable electrical, communication or functional tests when visible assembly alone cannot establish conformity.
- Engineering considerations
- Test access, interfaces and customer specifications
- Evidence
- Linked functional results and test status
A result with
a history.
Associate inspection results with the product, approved recipe and subsequent rework or reinspection.
- Engineering considerations
- Identity, retention rules and controlled versions
- Evidence
- Retrievable product-level quality records
Six disciplines.
One delivery scope.
Vision, mechanics and software share the same production requirement.
Machine vision & measurement
Optics, lighting, 2D imaging and local 3D measurement matched to the feature.
02AI & anomaly detection
Normal variation, defect recognition and quality references evaluated together.
03Mechanical & station engineering
Fixtures, datums, part handling and access designed around the assembly.
04Automation & controls
PLC, HMI, station sequencing and coordinated line interfaces.
05Robotic inspection
Repeatable sensor positioning for complex geometry and multiple views.
06Quality software & data
Product-linked records, plant connectivity and controlled configurations.
Research depth.
Production purpose.
Our team’s sustained research into anomaly-detection applications informs how we approach variation, scarce defect samples and practical deployment.
We combine the inspection method with controlled imaging, quality references and a defined response on the line. Each application establishes its own evidence for acceptance.
Observe
Controlled imaging & product context
Evaluate
AI, measurement & quality references
Act & record
Station response & product history
Confidence comes
from the evidence.
Evaluate the installed inspection process against the application and the customer’s acceptance requirements.
The feature.
The reference.
Product requirements, defect definitions, representative samples and agreed boundary decisions.
The inspection.
The installed process.
Repeatability, defect evaluation, complete cycle behavior, interfaces and exception handling.
The configuration.
The operating history.
Recipes, model versions, verification records and review when the inspection process changes.
Built for the part.
Ready for the
next program.
Integrated systems
Connect sensing, equipment and software in a defined production scope.
Repeatable deployment
Carry reusable modules, interfaces and validation methods into new variants and additional stations.
Quality intelligence
Develop product-linked data and application knowledge to support review, improvement and future inspection workflows.
A closer look
at the technology.
Practical thinking on anomaly detection, local intelligence and useful quality data.
Anomaly detection, with a quality reference
Learning normal variation is the starting point. A production decision needs a defined quality reference.
Read insightEdge AI, engineered for the production line
Connect local inference, station behavior and controlled model updates.
Read insightQuality records that follow the part
Connect inspection, production release and reinspection in a consistent product history.
Read insightManufacturing that
understands quality.
Our vision is to enable manufacturing systems to understand quality and act on it reliably.
We turn industrial vision and AI into verifiable, maintainable inspection systems that help manufacturers control quality risk and inspection cost.
Purpose & engineering responsibility