Machine Vision Knowledge Base: Lens Selection and Application Guides
Knowledge
Calibration and Measurement Stability FAQ | POMEAS
How contamination, temperature, vibration and LED ageing move a measurement, how often to verify calibration on a running line, and how to detect drift before bad parts are produced.
Zoom Lens Parfocality and Repeatability FAQ | POMEAS
Why the image softens or shifts after zooming, how to measure parfocality and zoom repeatability with the machine's own camera, and when a fixed-focal lens is the better answer.
Industrial Lens Selection: Calculations and Errors FAQ | POMEAS
Work backwards from tolerance to magnification, check image circle, mount and working distance, and avoid the five mistakes that show up during commissioning instead of on paper.
Object-Side Resolution vs Measurement Accuracy FAQ | POMEAS
A 1.86 micron object-side pixel does not mean 1.86 micron accuracy. What the number really is, where the errors come from, and how to build and verify an error budget.
When Is a Telecentric Lens the Wrong Choice? FAQ | POMEAS
Telecentric lenses are specified far more often than they are needed. Here is what they actually buy, what drives their size and cost, and a three-question rule for deciding.
Parts With Different Heights: Depth of Field FAQ | POMEAS
Why a stepped part looks soft on one level, why a step wall hides part of the lower surface, and how to verify depth of field, occlusion and scale before production.
Telecentric Lens for Dimensional Measurement and Inspection
How to build a telecentric-lens measurement station: turning tolerances into magnification, FOV and depth of field, choosing illumination, and preventing the failure modes that cost microns.
Telecentric vs FA Lens in Precision Measurement: 4 Checks
Telecentricity, edge and same-axis accuracy, depth of field versus part height, and when an FA lens wins: four checks before you specify.
What Is a Telecentric Lens? Working Principle, Types, and When to Use One
Learn how a telecentric lens keeps magnification constant to eliminate perspective error in machine vision measurement - working principle, the three types, and when to use one.
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