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EIT Food - R&D Project

Campden BRI Hungary, Maspex, KSM Vision
to implement R&D project
guided by EIT Food

R&D on the automation and digitization of
the food product label quality control processes

Current solutions on the market require manual handling, especially in terms of calibration and parameterization for new formats and products.

The innovative label quality inspection  system being developed as part of the R&D project will provide 100% automated product control on production lines for two product categories – jars and pouche packaging – while simplifying the quality control procedure.

The project reflects the mission of the EIT Food organization (supported by the EIT, a body of the European Union) to create a net-zero food system
by automatizing quality control processes, reducing waste and optimizing resource utilization.

1

Mission

Automating and digitizing the label quality inspection process as part of the food industry’s green transformation. By preventing errors in food packaging, the project will contribute to system resilience, reduce costly recalls and maintain consumer confidence.

Consortium

  • EIT Food
    Leadership

    Europe’s leading organization for
    food innovation, supported by the
    European Institute of Innovation
    and Technology (EIT),
    a body of the European Union,
    co-funded by the European Union.

  • Campden BRI Hungary
    Communication & Promotion

    Independent non-profit R+D+I institute
    catering to the needs of the food industry,
    agriculture and related industries. It is one
    of the most important service providers to
    food companies in Eastern and Central Europe.
    Campden BRI Hungary’s goal is to provide
    unique and competitive knowledge to
    stakeholders of the food industry.

  • Maspex
    FAT on production lines

    The largest private company in the
    food industry in Poland and one of the largest
    in Central and Eastern Europe. Sales to
    70 markets worldwide on 6 continents.

  • KSM Vision
    Design & Implementation

    Trusted partner of the automated quality control industry. Since 2012, developing proprietary AI-driven optical quality control systems. KSM Vision systems use deep neural networks, allowing manual inspection to be completely eliminated from the production process.

They trust our know-how:

  • In our opinion, the application of neural networks and the classification function for detected defects distinguishes KSM Vision's solution from competitive alternatives, and the system's achieved efficiency ensures quality control on the level of leading manufacturers' systems.
    MLEKOVITA, listed on the FORBES 100 ranking of the largest private Polish companies (2022).
    mgr. inż. Dariusz Sapiński,
    President of the Board
  • During the design process, KSM Vision demonstrated great flexibility in adapting the system to the expectations of BIOFARM's Production Department. (...) Since the implementation of the BLISPECT vision technology on BIOFARM's first production line nearly two years ago, KSM Vision's Service Department has been and remains available to BIOFARM employees with a good response time.
    BIOFARM Jarosław Pieczuro,
    President of the Board
  • KSM Vision Sp. z o.o. developed a system for quality control of glass vials for tablets. (...) A major advantage of the system is the use of machine learning algorithms, which allows for easy and quick system adjustment.
    ADAMED Group Dariusz Stępień,
    Director of Infrastructure and Media

Our R&D on the solutions with the use of neural network potential are backed by our renowned partners: