WEBER automation
Image-based inspection


Classic vs. deep learning-based methods
for the quality control
of flat workpieces in the industry


Classic and deep learning-based inspection of flat workpieces


The inspection of flat workpieces plays a central role in modern industrial production. Traditional methods based on manual processes and conventional image processing are now being compared with more efficient deep learning-based technologies. This text explores the differences between these approaches, highlighting their advantages and disadvantages as well as their applications and challenges in today's manufacturing landscape.

Metal surface inspection

For the surface inspection of metallic workpieces, WEBER relies on targeted homogeneous lighting to capture a wide variety of surface defects and micrographs for large inspection areas.

Wood surface inspection

The surface inspection of solid or veneered wood panels requires fundamentally different inspection requirements. WEBER offers the right customized inspection system for every type of wood and every surface finish.

Deep learning
based surface inspection

WEBER's industrial, image-based inspection systems enable the precise detection of surface defects in continuous conveyor operation, especially in inline inspection after the sanding process. These systems efficiently complement the WEBER sanding machine. With the latest high-resolution 2D camera technology, individual lighting concepts, proven classic image processing and advanced deep learning-based image processing algorithms, combined with many years of experience in the field of surface quality of ground workpieces, WEBER offers customized inspection systems that meet the specific requirements of customers

Individuelle Systemlösungen

Classic and deep learning
based inspection of flat workpieces

Industrial image-based inspection systems from WEBER detect surface defects in continuous conveying operation (inline inspection) after the grinding process and thus complement the downstream process to the WEBER grinding machine. With high-resolution 2D camera technology, individual lighting concepts, classic image processing as well as deep learning-based image processing algorithms and years of experience in the surface quality of ground workpieces, WEBER offers appropriate inspection systems depending on customer requirements.

Height-based 3D inline inspection

The system enables image-based inspection using a sensor that projects a laser line onto the measurement object and uses it to create a profile for measurement and inspection tasks. With just a few clicks, you can easily correct angular errors, position deviations or vibrations and thus carry out a simple and error-tolerant inspection.

Thanks to the line-based recording of the workpiece, a high resolution can be achieved with little space requirement and numerous workpiece features, such as the rounding radius of the workpiece, can be determined.

Facts:

  • High measurement speed of up to 16 kHz with 3200 profile data points
  • Output of height and brightness of each point
  • Intelligent image capture to avoid false reflections
  • Stable on all surfaces thanks to high dynamic range and x-resolution from 2.5μm
  • Wide range of measuring ranges available
  • Integrated encoder interface
Häufig gestellte Fragen

FAQ
Frequently asked questions

This is done using deep learning. Here it is important to "show" the algorithm many boundary patterns so that it can use them to make a good and appropriate classification.

Among other things, it is possible to check geometric dimensions. 

The main benefit is the achievement of an ever higher level of quality with the lowest possible failure and complaint rates.

The trend will be accelerated by the constant reduction in the cost of computer performance, the ever-increasing flexibility of systems and the broadening of the range of applications. At the same time, requirements in terms of quality and product safety are growing.

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