Machine Vision Inspection Guides: Selection and Design | EEK
Practical guides to specifying a vision system: equipment selection, cameras and lighting, acceptance criteria, accuracy, defect samples and PLC integration.
How Should Visual Inspection Accuracy Be Defined? Stop Treating the Pixel Equivalent as Accuracy
Visual inspection accuracy and pixel equivalent are not the same thing. This article explains the relationship between the smallest resolvable defect, pixel sampling, imaging contrast and judgement stability, and how to work backwards from the "minimum defect size" to an imaging solution.
View Inspection Highlights →Industrial Camera Selection: Area Scan or Line Scan, and How Resolution Is Calculated
Industrial camera selection guide: it explains the applicable scenarios of area scan and line scan cameras, how to calculate resolution, the logic for choosing shutter and exposure, and how camera selection constrains and is constrained by illumination, lens and cycle time.
View Inspection Highlights →Light Source and Illumination Selection: Where 80% of Defect Detectability Is Decided
Machine vision light source selection guide: it explains which defects each common illumination method suits: diffuse light, low-angle light, coaxial light, backlight and stripe light; and how to combine illumination schemes according to material and defect characteristics.
View Inspection Highlights →How many defect samples are enough? The sample threshold for deep learning inspection
How many defect samples does deep learning visual inspection need? This article explains how sample quantity relates to defect morphology complexity and judgement strictness, and the feasible paths and necessary preconditions for small-sample scenarios.
View Inspection Highlights →How to Integrate Vision Systems with PLCs and Production Lines
Guide to integrating visual inspection systems with PLCs and production lines: covering when to use common communication methods such as I/O, TCP, RS485, Modbus, S7 and Profinet, plus key timing design points for trigger, judgement and rejection.
View Inspection Highlights →Machine Vision Inspection Acceptance: How to Write a Standard Nobody Will Argue About
Guide to acceptance criteria for machine vision inspection projects: it explains how to agree escape rate and over-rejection rate, how to define the sample set, how to describe acceptance conditions, and key practices to avoid disputes at the acceptance stage.
View Inspection Highlights →How to Choose AI Visual Inspection Equipment: A Selection Guide for Industrial Presence/Absence Inspection Equipment
Selection guide for industrial vision presence/absence inspection equipment: item by item, it explains how to determine object size, smallest detectable target, FOV, working distance, lens focal length, pixel sampling, light source illumination, algorithm selection and PLC communication interlocking.
View Inspection Highlights →Didn't Find Your Inspection Object?
Inspection objects on the factory floor vary enormously; as long as the workpiece can be imaged clearly and "pass" and "fail" can be stated clearly, there is a chance of automating the judgement. Send us your workpiece for an actual test.