Fast, objective & reproducible

Quality inspection with machine vision

MVTec machine vision software is used in virtually every type of industrial quality inspection. In modern automated production environments, machine vision replaces manual inspection because it is faster, objective, reproducible, and does not suffer from fatigue or attention loss. This ensures consistent inspection quality, even at high throughput.

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Machine vision systems support a wide range of quality inspection tasks.

Detecting different types of defects on products.

Identifying cosmetic flaws such as scratches, dents, or surface irregularities.

Comparing a product’s shape or geometry to a reference, for example a CAD model.

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Typical application examples

Quality inspection with machine vision is used across many industries, for example to:

  • Inspect laser-welded joints in lithium-ion battery production.
  • Identify hotspots during solar cell production to ensure full functionality.
  • Check whether ice cream products (e.g., popsicles) meet specifications for shape and size.
  • Inspect car seat covers for surface defects.
  • Detect defects on electrode sheets in battery manufacturing.
  • Check beverage bottles for correct filling and defects on, for example, the bottle mouth.

TECHNOLOGIES IN OUR SOFTWARE

Quality inspection methods

Blob analysis
Morphology
Rule-based classification
Deflectometry
Photometric stereo
Shape-based matching

3D shape matching
Surface 3D matching
Deep-learning-based 
- semantic segmentation
- anomaly detection
- edge extraction

VIDEOS

Application examples

Quality Inspection: Find defects quickly & precisely with deep-learning-based machine vision
What does an automated quality inspection workflow with machine vision look like? Find out how deep learning can improve the efficiency of your production line.
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Quality inspection
Deep Learning
Quality control of baked goods
Using MVTec’s HALCON deep learning, the quality control system for baked goods is able to analyze up to 140 pieces per minute 24 hours a day!
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Quality inspection
Application Example
Deep Learning
HALCON
Quality Control with Deep OCR from MERLIC
Deep OCR is a holistic deep-learning-based approach for OCR. This new technology brings machine vision one step closer to human reading.
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Quality inspection
Application Example
Deep Learning
MERLIC
Optimize Quality Control with MERLIC 5
Incorrectly packed toast packages lead to disruptions in the production process. Find out how this challenge was solved with MERLIC 5.
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Quality inspection
Application Example
MERLIC
Print quality inspection of bar and data codes with MVTec HALCON
In this tutorial, you'll learn how to apply print quality inspection to bar and data codes with MVTec HALCON.
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Quality inspection
Step-by-step tutorial
HALCON

BENEFIT FROM OUR KNOWLEDGE

Our services & support

INDIVIDUAL SOLUTION FOR YOU
Free evaluation of your application

Do you want to know if we offer the right solution for your industry? Send us your software application design and our experts will check it. Within one week you will get a proposed solution – including, if useful, an example program. 

WHITE PAPERS
Practical insights

Explore our white papers to gain practical insights and expert knowledge on industrial machine vision.

MVTec Software