An automated line where robots machine and inspect automotive components

AUTOMOTIVE & METAL

Automotive & Metal

Connect weld bead, surface and dimensional quality with equipment health and heavy-duty mobility.

FACTORY PAINS

Priority factory bottlenecks

Start from recurring losses and ownership gaps, not technology labels.

  • 01

    Inspection variation caused by reflective, dirty and vibrating environments

  • 02

    Separation of weld or machining quality from equipment health

  • 03

    Limited access to data from legacy PLCs and sensors

  • 04

    Complex safety and routing for heavy-load material flow

REFERENCE ARCHITECTURE

Application architecture

The focus is how data and machine action connect, not a list of boxes.

  1. 01

    Measure

    SurfaceMetrix and InspectAI quantify beads, surfaces and dimensions.

  2. 02

    Monitor

    PredictCare monitors vibration, current and temperature changes.

  3. 03

    Connect

    EdgeLink connects legacy control with upper-level data systems.

  4. 04

    Move

    FleetOS and heavy-load platforms manage material movement.

  5. 05

    Operate

    QualityOS compares process, lot and equipment-health history.

RECOMMENDED SOLUTIONS

Recommended solution set

Select only the required components and make interfaces and ownership explicit.

Precision inspection equipment measuring 3D geometry on a production line
MetrologyP0 · concept validation

SurfaceMetrix 3D

Inline 3D surface, shape and dimensional metrology

Measures steps, burrs, beads, warpage and surface geometry at production speed with explicit calibration and measurement-system criteria.

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An industrial robot and camera inspecting a product surface
Vision AIP0 · concept validation

InspectAI

Low-data hybrid AI visual inspection

Combines rule-based logic and Hybrid AI to validate defect decisions while preserving evidence, dataset lineage and production operating criteria.

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A technician inspecting industrial equipment sensors and an edge device
ControlConcept · validation required

PredictCare

Sensor-based anomaly detection and asset health

Detects changes in vibration, current, temperature and pressure signals and supports maintenance decisions with operating-context evidence.

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A control cabinet connecting PLCs and industrial edge computers
ControlP0 · concept validation

EdgeLink

Brownfield protocol, data and AI gateway

Connects legacy PLCs, sensors and upper-level systems while keeping write authority, timing and safe-state responsibilities explicit.

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Multiple autonomous mobile robots moving pallets in a logistics center
MobilityP0 · concept validation

FleetOS

Multi-vendor fleet orchestration and traffic management

Coordinates heterogeneous mobile robots, traffic, charging and plant missions while preserving safety interfaces and operational ownership.

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An operations display showing measurement graphs and quality data from inspection equipment
MetrologyP0 · concept validation

QualityOS

Recipe, calibration, model, SPC and lot traceability

Organizes inspection and metrology results, recipes, calibration, models and lot history in a common quality data structure.

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KPI ITEMS

KPIs to measure

  • Measurement repeatability and reproducibility
  • Surface-condition variation
  • Alarm quality and response time
  • Safe stop and recovery
  • Heavy-load route and uptime
  • Process and equipment root-cause traceability

GATE PROCESS

Deployment gates

  1. 01
    DiscoverySite diagnosis
  2. 02
    PoCFeasibility
  3. 03
    PilotLine integration
  4. 04
    Roll-outProduction deployment
  5. 05
    OperateImprove

FAQ

Questions before assessment

Can highly reflective or contaminated surfaces be inspected?

Lighting, optics, sensing principle and sample variation must be evaluated together. A sample test defines the measurable range and exception conditions first.

Does AI directly control the equipment?

Safety PLCs and deterministic control retain authority. AI is limited to approved prediction, recommendation and bounded optimization roles.

AUTOMOTIVE & METAL

Define the scope for your Automotive & Metal site

We review the baseline, samples, interfaces, safety and quality conditions and propose the PoC gates.

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