What Is Machine Vision?

Direct answer

What Is Machine Vision?

Machine vision uses cameras, optics, lighting and software to inspect parts automatically. A basic cell needs 4 elements: camera, lens, light and trigger; many projects compare 2D images with 3D height data.

Quick answer

What is the short answer for what is machine vision??

Machine vision uses cameras, optics, lighting and software to inspect parts automatically. A basic cell needs 4 elements: camera, lens, light and trigger; many projects compare 2D images with 3D height data.

Quick answer

What should be confirmed before RFQ?

The 4 core inputs are camera, lens, lighting and trigger timing.

Quick answer

What evidence should Deyi Vision review?

2D vision solves contrast tasks while 3D vision adds height or profile evidence.

Key takeaways

What this page should help engineering teams decide.

Machine vision turns production images into pass, fail, measurement or traceability decisions.
The 4 core inputs are camera, lens, lighting and trigger timing.
2D vision solves contrast tasks while 3D vision adds height or profile evidence.

Product families commonly involved.

Key point

Machine vision is an automated inspection method.

A camera or sensor captures the part, software checks the image against a rule, and the system outputs a decision such as pass, fail, position, measurement or code result.

Key point

The camera is only 1 part of the system.

Reliable inspection usually needs at least 4 matched elements: camera, lens, lighting and trigger. If one element is wrong, software cannot make the result repeatable.

Key point

2D and 3D vision solve different evidence problems.

2D vision works from image contrast, edges and printed information. 3D vision adds height, profile or volume data when color or contrast alone cannot separate good and bad parts.

Selection framework

Use this guide as a pre-RFQ decision filter, not as a part-number shortcut.

Machine vision selection is usually stable when the project starts from the inspection condition instead of a catalog model. Before requesting a quote, define what must be detected or measured, how the part moves, what surface behavior affects contrast and which factory constraint cannot change.

For what is machine vision?, the engineering team should translate the requirement into testable inputs: sample images, target tolerance, line speed, field of view, working distance, mounting envelope and the current failure mode. That gives the factory enough evidence to map the request to camera, lighting, optics, reader or 3D routes.

Decision matrix

Three checks before locking the route.

01

Primary evidence

2D uses image contrast; 3D adds height or profile data.

02

Common output

Pass/fail, position, measurement or barcode result.

03

Minimum RFQ inputs

Prepare 5 inputs: part image, defect, FOV, speed and tolerance.

Comparison table

Use these data points to turn the concept into an RFQ-ready decision.

Factor	Practical rule	RFQ impact
Primary evidence	2D uses image contrast; 3D adds height or profile data.	Send sample images for 2D and height tolerance for 3D.
Common output	Pass/fail, position, measurement or barcode result.	State the decision the PLC or operator needs.
Minimum RFQ inputs	Prepare 5 inputs: part image, defect, FOV, speed and tolerance.	Shortens model selection and avoids catalog-only quoting.

Common mistakes

Problems that slow down selection.

Selecting by model number before the inspection target is measurable.
Treating lighting as an accessory instead of the main contrast-control tool.
Ignoring fixture stability, part variation and operator maintenance workflow.

Factory handoff

What Deyi Vision reviews after receiving the project details.

The factory route review starts by checking whether the image can be made stable with lighting and fixture control. Then the camera, lens, reader or 3D sensor route is sized against speed, resolution, interface and installation constraints.

If you already have a Keyence, Cognex, Basler, OPT, LMI, Hikrobot or barcode-reader reference, include it as a benchmark. Deyi Vision uses the reference to understand the application class; final selection still depends on real samples and production limits.

Guide to RFQ

Have a real part, sample image or production constraint?

Use the guide to frame the question, then send the details so engineering can recommend a route.

Request engineering RFQ

Guide FAQ

Questions related to what is machine vision?.

Ask engineering

What is machine vision in simple terms?

Machine vision is an automated way to inspect products with cameras, lenses, lighting and software so a production line can measure, locate, accept, reject or trace parts.

What are the main parts of a machine vision system?

The core parts are camera, lens, lighting, trigger or sensor, controller or software, I/O and mechanical fixture. Camera selection is only one part of the system.

When should a factory use machine vision?

Use machine vision when manual inspection is too slow, inconsistent or unable to meet the required measurement, barcode, positioning or defect-detection repeatability.