3D machine vision sensor mounted on a robot arm

More precise production with machine vision

With industrial camera systems and machine vision technology, we improve accuracy, quality inspection and automation efficiency on production lines.

Definition

What is industrial machine vision?

Industrial machine vision (image processing) is the software analysis of camera images to perform product recognition, defect detection, part location, measurement and robot guidance in production. It provides faster and more consistent inspection than the human eye.

2D and 3D cameras, the right lighting and machine vision software work together. The camera tells the robot where a randomly placed part sits on the conveyor, and the robot picks it from the correct point without the need for a fixture.

On the quality inspection side, missing parts, scratches, deformation, wrong labels or out-of-tolerance products are automatically rejected from the line, and every inspection is recorded.

  • 2D / 3D camera
  • Machine vision
  • Robot guidance
  • Measurement
Yellow robots working together on an assembly line
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What does it deliver?

The roles of machine vision in production

Machine vision systems inspect with greater speed and precision than the human eye, raising operational quality.

01

Improves accuracy

Ensures products are correctly positioned, aligned and identified.

02

Strengthens quality control

Detects defects, missing parts, deformation or non-conforming products.

03

Guides robots

Helps robots pick and process products from the correct point.

04

Standardizes the process

Helps maintain the same quality level on every product.

05

Increases efficiency

Optimizes processes with faster inspection and fewer errors.

06

Collects data

Records the result of every inspection to provide traceability.

Yellow industrial robot picking parts with a multi-gripper end effector
Applications

Where and how does the camera work?

We integrate machine vision into a robot cell or a standalone inspection station.

  • Part locationSends the coordinates of a part on the conveyor to the robot.
  • Defect detectionSorts out surface defects and missing components in seconds.
  • MeasurementVerifies critical dimensions without contact and with repeatable results.
  • Reading and verificationReads barcodes, QR codes and labels to prevent wrong products.
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Areas of use

Which processes use machine vision?

A wide range of applications, from quality inspection to robot guidance.

Quality inspection

Automated surface, assembly and dimensional inspection.

Robot guidance

Camera-assisted picking of randomly placed parts.

Assembly verification

Checking part presence and orientation.

Packaging and labeling

Traceability through label, date and code reading.

Sorting

Sorting products by type, color or size.

Measurement stations

Non-contact dimensional measurement and tolerance checks.

Questions

Frequently asked questions about machine vision

What is the difference between 2D and 3D machine vision?

A 2D camera sees the position, color and shape of a part on a plane, which is sufficient for flat parts and label reading. A 3D camera also measures depth and is used for robotic picking of stacked or randomly placed parts and for volume measurement.

Can machine vision be added to my existing line?

Yes. A camera station is usually added to an existing conveyor or robot cell and integrated into the line with a reject mechanism and PLC communication.

Why is lighting so important?

Lighting matters because machine vision accuracy depends largely on image quality. The right lighting makes defects stand out and prevents changes in ambient light from affecting the result.
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Let us strengthen your production together

Share your application and goals, and together we will define the right robot cell, layout and investment plan for you.

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