Engineering Journal
Machine Vision Inspection Engineering
Articles here document the design decisions, tradeoffs, failure modes and validation methods behind complete inspection systems — imaging and illumination, inspection logic, controls integration, traceability and acceptance. Written for the engineer who has to make the station work on a running line.
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OCR vs OCV in Manufacturing: Reading a Code Is Not Verifying It
OCR answers “what does the camera think this says?”. OCV answers “does this match what this unit was supposed to be marked with?”. On a multi-SKU line, only the second question protects you.
Read the articleOCR vs OCV in Manufacturing: Reading a Code Is Not Verifying It
OCR answers “what does the camera think this says?”. OCV answers “does this match what this unit was supposed to be marked with?”. On a multi-SKU line, only the second question protects you.
Published 2026-09-03 · 9 min read
How to Design a Date-Code Inspection System That Survives Production
Most date-code inspection stations are demonstrated on clean samples in a quiet room and then meet condensation, vibration and a changeover. Here is the design order that holds up.
Published 2026-09-03 · 11 min read
Wrong-Label Prevention: Identity, Placement and Variable-Data Verification
A label station that only checks presence will pass a perfectly applied wrong label. Preventing mislabeling means checking four separate things, and one of them is a data problem.
Published 2026-09-03 · 10 min read
Line Scan vs Area Scan for Print Inspection: Where the Architecture Changes
The choice is not a camera preference. It changes synchronization, illumination, bandwidth, defect reporting and what the operator can act on.
Published 2026-09-03 · 11 min read
Packaging Inspection System Architecture: From Trigger to Reject
The camera is the least interesting part. What determines whether a packaging inspection station works is the chain from photo-eye to reject confirmation — and what happens when a link in it is late.
Published 2026-09-03 · 11 min read
Rules-Based Vision vs AI Defect Detection: Use the Simplest Tool That Holds Up
Deep learning is genuinely useful for appearance defects nobody can specify. It is also the most expensive way to solve a measurement problem you could have solved with a threshold.
Published 2026-09-03 · 10 min read
Why Machine Vision Systems False-Reject Good Product — and How to Diagnose It
A station that worked at commissioning and rejects good product three months later has almost never had an algorithm failure. Something physical or procedural moved. Here is the order to look.
Published 2026-09-03 · 10 min read
What a Machine Vision Feasibility Study Should Prove Before You Buy Hardware
A feasibility study is not a demo. It is a small set of experiments that either establishes the imaging exists or tells you the application needs a mechanical change — before anyone issues a purchase order.
Published 2026-09-03 · 11 min read
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