Technical vision systems
for the control
of production processes
for concrete block machines
based on machine vision

New approach for your production
according Industry 4.0 concepts

Building materials production

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Computer vision

Neural networks

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A deep understanding of modern information technologies and production needs makes our solutions in demand in such industries as:







Automatic quality control

Concrete blocks manufacturing
Precast concrete manufacturing

Autoclaved aerated concrete blocks production

Clay brick production
Plywood, fiberboard, chipboard, drywall production
Current situation

We implement automatic quality control using neural nets which does not require significant changes on the production line

Alexander
Kozyrev
CTO
Quatromatic

We see that even in the most conservative industries, modern technologies in computer vision, machine learning, digital assistants and quality control systems

can significantly increase efficiency.

Preventing the production of defective products

1.
Minimization of the negative impact of the human factor
2.
Collection and analysis of big data, which is now much easier to collect
3.

Automatic generation of production reports

4.

QuatroPBC

Digital operator assistant to reduce production losses in the production of paving bricks.

An example of such solution —

We share our implementation experience: we tell how automation changes performance indicators, how much does it cost, how the quality of the product changes.

Learn more about modern opportunities —

About Quatromatic
One of the key competencies of our team is artificial intelligence, machine vision and neural network image processing technologies.
We have been dealing with these technologies for more than 6 years, we have implemented several large projects related to computer vision, including for product control in various industries.

Also in our team are experts in the field of production of concrete bricks, who have built and operate several modern and efficient plants.

We believe that modern technologies of computer vision, machine learning, digital assistants and quality control systems will significantly improve the efficiency of even the most conservative industries by minimizing the negative impact of the human factor, preventing the production of defective products, collecting and analyzing big data that was previously collected was impossible

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