Machine Vision

Also called: industrial vision system

Machine Vision — definition

Machine vision is the use of cameras and image-processing algorithms to automatically inspect, measure, guide or identify objects within an industrial process.

Common applications include dimensional inspection, surface defect detection, presence verification, code reading and providing positional feedback to guide robots. Systems range from simple sensor-based checks to complex algorithms including deep learning for defect classification.

Why it matters to industrial buyers

Machine vision can perform inspection tasks at speeds and consistency levels beyond manual visual checking, but requires proper lighting, lens and algorithm selection to be reliable.

Key reference points

Common uses

Dimensional checking, defect detection, code reading and robot guidance are common machine vision applications.

Lighting dependency

Consistent, application-appropriate lighting is commonly cited as critical to reliable machine vision performance.

Commonly confused with

  • simple photoelectric sensor

    A photoelectric sensor typically detects presence or absence at a point; machine vision captures and analyses an image to extract shape, position or quality information.

How it is used in practice

A machine vision system inspected label placement on bottles and rejected units where the label was misaligned beyond tolerance.

Frequently asked questions

Does machine vision require artificial intelligence?

Not necessarily; many applications use rule-based image processing, while more complex defect classification may use trained models.

Can machine vision guide robots in real time?

Yes, vision-guided robotics is a common application where the vision system provides positional data to the robot controller.

Go deeper on the platform

Related terms

More in Automation & Production Systems

Reference content only. Global B2B Group is independent of equipment manufacturers and financing institutions; definitions are provided for education and do not constitute engineering, financial or legal advice.

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