Advanced visualization system

Surface defect detection for steel slabs

18% fewer hidden defects
Up to €120K annual savings
15x faster data processing

About the client

One of our client’s customers is a German steel manufacturer actively investing in digital transformation. The company runs its own R&D department focused on developing innovative technologies to improve production processes.

Challenges we faced

The client needed a solution to visualize high-resolution surface scan data from steel slabs. Traditional client applications struggled with performance and usability when dealing with several gigabytes of raw data. 

On top of that, the system had to support real-time analytics, deliver clear reporting and remain easy to deploy across various production environments.

Implemented solution

Working closely with the client’s R&D team, XPG Factor developed a next-generation defect visualization system – stable, scalable, and built to handle heavy data loads. The result outperformed previous tools in both reliability and functionality.

Solution’s key attributes

  • Advanced visualization engine
    At the core of the system is a high-performance engine that transforms raw surface scan data into precise raster images. With pixel-level accuracy, quality control teams can quickly and reliably identify surface defects like scratches and dents.
  • Real-time reports & analytics
    Immediately after scanning, the system generates visual reports for each slab. These include image-based and data-driven insights, helping operators compare results, identify trends, and take corrective action with minimal delay.
  • Seamless integration & flexibility
    The platform integrates smoothly into existing plant systems and supports a range of scanner types and data formats. Its modular architecture also allows for plug-in analytics algorithms and customizable defect classification thresholds.

Methodology & transparency

The project followed an Agile development process, with regular sprints, weekly syncs, and transparent communication. All features were tested and refined in direct collaboration with the client’s R&D team, ensuring fast iterations and solutions tailored to real production needs.

Results & business value

After commissioning, the developed system has proven its effectiveness by speeding up processes and improving the accuracy of defect detection:

15x faster data processing

Large data volumes are now processed significantly faster, enabling quicker decisions and shorter feedback loops.

Early detection of hidden defects

Higher scan accuracy allows the system to catch issues that would otherwise go unnoticed, reducing defect rates by 18%.

Up to €120,000 annual savings

By streamlining visual inspection and cutting down scrap rates, the system helps save substantial operational costs each year.

Team composition

Scrum master
Project manager
2 backend developers
Frontend developer
DevOps engineer
QA engineer

Technologies

Backend
Python
REST API
Data processing
Pandas
OpenGL
Infrastructure & Deployment
Kubernetes
DevOps & Automation
CI/CD/CD

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