Inspection Applications

Most stalled vision projects were scoped around a device instead of a defect. Before hardware, we write down the defect population: what it looks like, how small it is, how often it occurs, whether it is visible under any single lighting geometry, and what the line does when it is found.

That statement determines resolution, optics, lighting geometry, trigger strategy, and whether rules-based tooling is sufficient or a learned model is justified.

• Packaging & labels — presence, placement, seal integrity, print legibility on films, cartons, pouches and bottles.
• Printed webs — continuous line-scan inspection of repeating print with registration and streak/void defects.
• Codes & characters — OCR, OCV, 1D/2D code read and grade, date and lot verification against the work order.
• Surface & product defects — scratches, dents, contamination, texture and cosmetic classes.
• Custom high-speed imaging — short exposure, strobed, multi-camera or synchronized acquisition problems.

Inspection target

Part, package, web or code, with drawings or samples

Smallest feature

Minimum defect or character stroke width to resolve

Throughput

Parts/min or web speed and whether motion is indexed or continuous

Presentation

Fixture repeatability, orientation, spacing, product variability

Environment

Washdown, heat, humidity, condensation, ambient light, vibration

Reaction

Reject mechanism, PLC handshake, data retention, audit requirements

If the inspection is a single, stable, well-lit measurement on a slow indexed line, a self-contained smart camera from Cognex or KEYENCE is often the lowest-lifecycle-cost answer, and our comparison content says so plainly. Custom engineering earns its keep when the imaging is hard, the defect set is broad, multiple cameras must be synchronized, or the data has to leave the sensor.