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AIS Vision Systems at Packaging Talks 2026: machine vision and AI for sustainable traceability

AIS Vision Systems at Packaging Talks 2026: machine vision and AI for sustainable traceability

16 - 06 - 2026

Our CEO, Jose Racionero, took part in the digitalization and traceability panel at Packaging Talks 2026, the Packaging Cluster’s flagship event, which brought together more than 150 industry professionals. On June 11 and 12, the Packaging Cluster held a new edition of Packaging Talks at Golf de l’Empordà, a...

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11 - 06 - 2026

Code verification vs. inspection: which one your line needs

Code verification vs. inspection: which one your line needs

Code inspection and verification sound similar, but they address different needs. Confusing them can lead to buying the wrong solution. Here we clarify the difference and help you decide what your production really needs. What code inspection is Inspection checks that the code is present, readable and contains the...

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11 - 06 - 2026

False rejects in production: what they cost and how to reduce them

False rejects in production: what they cost and how to reduce them

An inspection system that rejects good products is almost as problematic as one that lets bad ones through. False rejects cause waste, rework and unnecessary stoppages. Reducing them is one of the most profitable levers for improving a line’s efficiency. What a false reject is and why it happens...

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11 - 06 - 2026

How much does it cost to automate quality control: factors and ROI

How much does it cost to automate quality control: factors and ROI

“How much does it cost?” is always the first question, and the honest answer is: it depends. But more important than the upfront cost is the return. Automating quality control with machine vision usually pays for itself sooner than many companies expect. Factors that influence the price Cost depends...

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11 - 06 - 2026

How to choose a machine vision quality control system

How to choose a machine vision quality control system

Choosing a machine vision system is a decision that shapes the quality and efficiency of your production for years. It isn’t just about buying a camera, but about getting the complete solution right. This guide helps you decide with clear criteria. Start by defining the problem Before looking at...

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11 - 06 - 2026

100% inline inspection: why sampling is no longer enough

100% inline inspection: why sampling is no longer enough

For years, sampling-based quality control was the industry standard. But in a market that tolerates no errors, checking only part of production is a hard risk to justify. Machine vision now makes it possible to inspect 100% of units inline, without stopping production. The limits of sampling-based control Sampling...

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11 - 06 - 2026

7 types of defects a visual inspection system detects

7 types of defects a visual inspection system detects

A modern visual inspection system can detect flaws that would go unnoticed by the human eye, and do so on every unit that passes down the line. These are the seven most common types of defect that machine vision identifies and rejects in real time. 1. Labelling and positioning...

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11 - 06 - 2026

Deep Learning vs. traditional machine vision: when to use each

Deep Learning vs. traditional machine vision: when to use each

Not every inspection problem is solved the same way. Rule-based machine vision has worked brilliantly for decades, but Deep Learning has opened the door to inspections that were once impossible to automate. Understanding the difference is key to choosing the right technology. What traditional machine vision is Rule-based vision...

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09 - 06 - 2026

What is industrial machine vision and how does it work?

What is industrial machine vision and how does it work?

Industrial machine vision has become one of the key technologies of modern manufacturing. It allows machines to “see”, interpret images and make quality decisions in milliseconds, without human intervention. In this guide we explain exactly what industrial machine vision is, what components it relies on and how it is...

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