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Engineering notes
What we write about industrial automation, artificial intelligence and field data. Not marketing copy — applicable technical notes.
- Automation
- Machine Vision
- Production Data
- Artificial Intelligence
More articles
Choosing your first machine vision project: what to inspect first
Choosing the first machine vision project decides the outcome before any software is written. Which inspection problems are easy and which are hard, five questions that screen a candidate, why lighting dominates, rule-based versus deep learning, and the right order for a feasibility study.
Read MoreMeasuring OEE correctly: what gets lost between the counter and the report
OEE is a product of three definitions, not three factors. The scope of planned production time, the ideal cycle time source, the micro stop threshold and reason classification can make the same line read 74% or 86%. Which signals to collect, which definitions to write down, and why clock sync comes first.
Read MoreBefore you start with AI in manufacturing: a data readiness checklist
Industrial machine learning projects stall on the data, not the model. Failures are rare: if two years of history contain three of them, no model can be built from it. A seven-point checklist, from tag dictionaries and deadbands to clock sync and concept drift.
Read MoreSmart solutions, secure tomorrows
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