00

Solution

SOL-09

Quality & Vision

Machine Vision & Inspection

Inline inspection, measurement and code verification, specified against a defect library you approve before FAT.

00

Solution

Quality & Vision

Machine Vision & Inspection

Inline inspection, measurement and code verification, specified against a defect library you approve before FAT.

Line drawing of an assembly line with four camera stations and data matrix readers

FIG. 1

Illustrative application drawing · see the linked project record

SOL-09

01

Problem & outcome

What it solves

01

Problem & outcome

What it solves

The problem

Manual visual inspection depends on the inspector, the shift and the lighting. Defects that escape reach the customer; false rejects waste good product. Vision only works when the requirement is defined before the camera is chosen.

The problem

Manual visual inspection depends on the inspector, the shift and the lighting. Defects that escape reach the customer; false rejects waste good product. Vision only works when the requirement is defined before the camera is chosen.

Intended outcome

Intended outcome

Defects caught at the station that causes them, with images and results stored against each part.

Typical scope

1–8 cameras per line

Indicative range · confirmed per project

Typical scope

1–8 cameras per line

Indicative range · confirmed per project

02

Engineering

Approach, applications and scope

02

Engineering

Approach, applications and scope

Technical scope

Engineering approach

We build a defect library with your quality team, run a feasibility study on real samples, and only then choose optics, lighting and processing. Acceptance criteria — detection rate and false-reject rate — are agreed before FAT.

Typical applications

  • Presence, position and assembly checks

  • Dimensional measurement

  • Label, print and code verification

  • Robot guidance

Scope

  • Feasibility study on client samples

  • Optics, lighting and enclosure design

  • Reject handling and result storage

  • Challenge-set testing at FAT and SAT

Technical scope

Engineering approach

We build a defect library with your quality team, run a feasibility study on real samples, and only then choose optics, lighting and processing. Acceptance criteria — detection rate and false-reject rate — are agreed before FAT.

Typical applications

  • Presence, position and assembly checks

  • Dimensional measurement

  • Label, print and code verification

  • Robot guidance

Scope

  • Feasibility study on client samples

  • Optics, lighting and enclosure design

  • Reject handling and result storage

  • Challenge-set testing at FAT and SAT

Talk to an engineer

Discuss your inspection requirement

An engineer replies within one business day.

Talk to an engineer

Discuss your inspection requirement

An engineer replies within one business day.

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