Get in Touch
Digital Quality 4.0 · AI-powered inspection

MAPP Vision — AI-powered quality & defect detection.

An AI-driven machine vision module for manufacturing that automatically detects quality issues, guides operators, and integrates seamlessly with your automation and MES ecosystem.

Request a Demo Key features
The problem

Human inspection is inconsistent by design, not by fault.

Visual inspection depends on attention, lighting, fatigue and how many parts the operator has already looked at that shift. Escape rates rise late in a shift for reasons that have nothing to do with competence.

Rule-based vision handles well-defined features. Defects that vary in appearance — scratches, surface texture, subtle misalignment — are where AI-based classification earns its place.

Detects

Scratches & surface defects

Detects

Dents & deformation

Detects

Misalignment & wrong orientation

Detects

Missing parts & labelling issues

Key features

What MAPP Vision does.

Defect detection & classification

Identifies scratches, dents, misalignments, missing parts, wrong orientation, labelling issues and surface defects — and classifies them so the response can be automated rather than escalated.

AI model training & controlled improvement

Rule-based or AI-based inspection with manual retraining whenever new defect images or scenarios are added — so performance changes deliberately, not silently.

High-speed real-time processing

Designed for cycle-time-critical applications, making an accept/reject decision inside the station's available window.

On-premise deployment

Inspections execute on local infrastructure. Images and models stay inside your plant network.

Predictable by design: models are retrained deliberately when new defect scenarios are added, rather than adapting continuously — so behaviour on a validated line does not change without someone approving it.

Applications

Where it is deployed.

  • Automotive BIW
  • Powertrain components
  • Plastics & moulded parts
  • Electronics assembly
  • FMCG packaging lines
  • Machining & finishing
  • Weld inspection
  • Assembly verification
  • Surface defect detection
  • Dimensional checks
  • OCR & barcode validation
  • Packaging quality checks
Vision inspection loop A camera captures the part, the AI model classifies it, a pass or fail decision is sent to the PLC, and the image plus result is stored in the MES record. CAPTURECAMERA + LIGHTING CLASSIFYAI / RULE MODEL DECIDEPASS / FAIL TO PLC RECORDIMAGE + RESULT TO MES COMPLETE IMAGE TRACEABILITY — EVERY DECISION KEEPS ITS EVIDENCE
Business benefits

What it delivers.

Zero-defect standards

Consistent inspection applied to every part, across every shift, without attention decay.

Less manual inspection

Reduced dependence on dedicated inspection headcount for repetitive visual checks.

Lower rework & scrap

Defects caught in-station rather than discovered downstream when more value has been added.

Faster issue resolution

Classified defects point at a cause rather than simply flagging a reject.

Complete image traceability

Every decision retains its image and audit trail, linked to the unit record.

Increased line uptime

Automated decision-making removes the stop-and-check pauses manual inspection imposes.

Related

Connected products & services

Platform

MAPP ZEN

Vision results land in the same quality record as manual inspection and SPC data.

 Module 03

MAPP TRAIL

Attach the inspection image and verdict to the serialised unit's genealogy.

 Service 03

Turnkey automation

Vision inspection integrated into the cell we design, not bolted on afterwards.

Looking for something else?

Get in touch

Send us images of the defect you cannot catch.

A short feasibility assessment on your own sample images is the fastest way to know whether this will work for your part.

Request a Demo
Blog