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Vision King – Paper & Cellulose

Technology Description

The primary objective is to identify defects and imperfections on the surface of paper, such as:

Tears
and Nicks

Tear in the paper web

Dents and
Mechanical Marks

Crease in the paper web

Stains and
Discolorations

Stain on the paper surface

Fibers and
Hairs

Hair on the paper surface

Computer vision applied to paper surface inspection has become an essential solution for ensuring quality in paper manufacturing processes. Vision King uses cameras and image processing algorithms to detect defects, irregularities, and specific characteristics on the paper surface that are difficult to identify with the naked eye.

Paper reel at the winder of the paper mill
Paper machine running the web at production speed
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2
3
4
Paper manufacturing process covered by Vision King inspection
1

Vision King identificando pedra encrustada na superfície da madeira

Wood Log Inspects:

Rocks

Contaminants

Plastics

2

Wood Pulp Inspection:

Granulation

Contaminants

3

defeito de cabelos no papel identificado pelo Vision King
Wet Paper Inspection:

Lints and Contaminants

Stains and Dirt

4

defeito de rasgo no papel identificado pelo Vision King
Final Product:

Size and Cutting

Mechanical Marks

Tears and Nicks

Technologies and Techniques Used in Inspection

Cameras and
Sensors

Image
Processing

Artificial
Intelligence

Real-Time
Systems

Advantages

  • Safety and Real-Time Capability:

    Computer vision technology can operate in environments too hazardous for people, such as in close proximity to high-speed machinery.

  • Precision and Consistency:

    Computer vision technology is more precise and consistent than manual inspection, reducing human errors and increasing efficiency.

  • High Speed:

    Real-time analysis allows for immediate defect detection, eliminating the need to stop machinery for inspection.

  • Increased Quality:

    The system’s comprehensive and immediate analysis of production helps detect issues stemming from machinery, raw materials, or even mechanized handling. This prevents defects from propagating throughout the batch and enables proactive equipment adjustments.

  • Analysis and Reporting:

    Computer vision systems can collect data over time, allowing for the identification of trends and root causes of defects, in addition to optimizing processes.

  • Cost Reduction:

    The technology reduces the amount of scrap generated across all phases of the production process, mitigating the possibility of manufacturing defects reaching the customer.

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