Improving manufacturing efficiency with computer vision and machine learning technologies.

The Q-Vision platform is a modular solution that includes hardware and software solutions for both identifying production defects and preventing equipment failures, as well as ensuring personnel safety.
Improving manufacturing efficiency with computer vision and machine learning technologies.

The Q-Vision platform is a modular solution that includes hardware and software solutions for both identifying production defects and preventing equipment failures, as well as ensuring personnel safety.
Integrated solutions in the field of object and face recognition, implemented to ensure security and improve production efficiency
Integrated solutions in the field of object and face recognition, implemented to ensure security and improve production efficiency
Digital transformation of production
Why Computer Vision Technologies Are Important in Manufacturing
  • 1
    The pace of digitalization
    The pace of digital transformation in manufacturing is gaining momentum, and computer vision technologies are playing a key role (Deloitte)
  • 2
    Many tasks related to video analytics
    Video analytics systems can improve the efficiency of analysis where a specialist would spend more time, especially in areas with increased danger.
  • 3
    Increased safety requirements
    Risky production processes require prompt response. Video analytics allows timely monitoring of risks and signaling of threats
  • 4
    Competitiveness factor
    The introduction of proven modern technologies allows to reduce the cost of production and operating costs while simultaneously improving the quality of products and technological processes

Q-Vision Technologies
Object recognition
Analyze objects and their visual attributes with high accuracy
Tracking movements
people, transport, production machinery, parts on the conveyor
Number plate recognition
identifiers, codes, markers both on static transport and on moving objects
Face recognition
Possibility of mass identification of persons and verification of identity in the flow
Monitoring the availability of PPE
Recognizing the presence or absence of personal protective equipment for an employee
Identifying dangerous activities
Monitoring compliance with safety rules and regulations during work
Flaw detection using computer vision technologies
The camera system allows for faster, better and larger-scale analysis of workpieces than personnel. During the analysis, the system identifies all possible types of defects, reduces the human factor and the percentage of errors made by personnel when identifying defects. When a defect is detected, the system sends a signal to the operator in real time and also provides all the necessary information about the workpiece number and the type of defect. This allows for timely rejection of the workpiece or sending it for appropriate revision.
Effects of implementing video analytics in flaw detection
  • Increased productivity
    Improving the quality of blanks and reducing the amount of defects. Reducing financial losses and consumables.
  • Collection of analytical data
    Obtaining statistics on all possible types of defects and analytics of the impact on output products. The ability to adjust the technological process as accurately as possible based on analytics.
  • Reducing the influence of human factors
    Reducing the percentage of errors by personnel involved in the process of identifying defects in workpieces. Eliminating the risk of missing a defect due to inattention and other factors.

Contact us
We will implement and configure Q-Vision individually for your business processes


  1. Fill out the form
  2. Our manager will contact you
  3. We will prepare an individual solution for your requirements.
Attribution: see figures for Q-Vision