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Live2026-08-20 08:25 UTC+27 todayUpdated

Bertrandt introduces Production Cluster and evoVIU camera to make factory image processing easier

Bertrandt's new Production Cluster bundles production expertise and an evoVIU camera that can cut error rates by up to 90%.

Productivity increase
up to 40%
Error-rate reduction
up to 90%
Throughput boost
up to 25%
Camera models
2

What Happened

Bertrandt has introduced the 'Production Cluster,' a bundled offering that brings together specialists in process consulting, manufacturing engineering, digitalization, and plant engineering from its subsidiaries concept AG and evopro AG. The cluster aims to holistically transform production sites across all industries, from efficient existing facilities to fully networked smart factories. Bertrandt markets it as a way to make production future-ready, smart, and digitally connected.

With the 'Production Cluster,' we pursue a holistic approach that goes far beyond isolated optimization measures. Our goal is to create real added value for our customers: in addition to deep process expertise, they benefit from cutting-edge, flexible, and digital production solutions that unlock efficiency potential, accelerate time-to-market, and enable future-proof and sustainable value creatio
Michael Lücke, Member of the Executive Board of Bertrandt AG

The cluster includes the in-house developed evoVIU camera, which performs industrial image processing and can be used standalone or integrated into existing systems. Until now, this area was often considered complex and difficult to access. evoVIU changes that with an intuitive, browser-based no-code application, making image processing accessible to all user groups regardless of prior knowledge or existing systems. The VIU1 and VIU2 camera models cover conventional and AI-based applications, from simple data capture to real-time analysis of complex production data.

Typical applications supported by the cameras include:
  • Completeness checks
  • Quality assurance
  • Surface inspections
  • Measurements
  • Object and text recognition
  • AI-based classifications and anomaly detection

The flexible workflows allow companies to quickly develop, test, and adapt image processing applications without extensive programming or external support. Depending on the use case, customers can benefit from productivity increases of up to 40 percent and a reduction in error rates by up to 90 percent. evoVIU also enables seamless integration into existing systems and scales projects flexibly and cost-efficiently across various development stages.

With evoVIU, we are closing the gap between complex image processing and intuitive usability. Image processing should be accessible to everyone and easily adaptable - regardless of prior experience. evoVIU combines hardware and software into a holistic solution that shortens development cycles, increases efficiency and quality, and boosts throughput by up to 25 percent.
Stefan Kraus, Head of Product Development at evopro AG

Why this matters

For manufacturers across all industries, the cluster promises to make industrial image processing accessible without coding skills, enabling automated quality checks and inspection. Bertrandt says it can raise productivity by up to 40%, cut error rates by up to 90%, and shorten time-to-market. That helps production teams and businesses create more efficient, sustainable, and competitive factories.

Terms in This Story

no-code
A method of creating applications through visual interfaces rather than programming, allowing non-developers to build software.
industrial image processing
The use of cameras and software to automatically inspect, measure, or analyze objects on a production line.
AI-based
Relying on artificial intelligence algorithms, such as machine learning, to recognize patterns or make decisions from data.
time-to-market
The length of time needed to develop and launch a product; shorter is generally better for competitive advantage.
Read Original: Bertrandt

Summarised from the linked release; details can be imperfect — always verify against the original source.