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MACHINE VISION · BASICS

What Is Machine Vision?

Machine vision is the use of cameras, lighting and a computer to inspect, measure, identify or guide objects automatically. In industry it checks products for defects, reads codes, verifies assembly and guides robots, faster and more consistently than a person can, and today it increasingly runs AI models at the edge.

01

The Short Answer

A machine vision system captures an image, processes it and makes a decision, such as pass or fail, many times a second. Traditional systems use rule-based measurement tools; modern ones add deep learning models that can judge variable products, such as baked goods or natural materials, where fixed rules struggle.

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    Camera and optics Capture the image at the resolution and speed the task needs.
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    Lighting Makes the features that matter stand out consistently, shift after shift.
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    Computer Runs the inspection software, often an edge AI computer beside the line.
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    Software and outputs Makes the decision and signals the line to reject, sort or adjust.
02

Why It Matters

Machine vision replaces subjective manual checks with the same objective decision on every product. Our food factory case study shows machine vision PCs inspecting every muffin and adjusting the ovens, and our edge AI computers run this kind of workload on the line.