AI-Based Slab Surface Defect Inspection System

AI-Based Inspection of All Four Longitudinal Slab Surfaces Using Deep Learning and Industrial Machine Vision

Surface defects on slabs can affect product quality during subsequent production stages. In addition, the recurrence of certain defect patterns may indicate a problem with production equipment.

For example, the continuous appearance of longitudinal scratches on a slab surface may be an early indication that one of the line rollers is malfunctioning or jammed.

Fanavar Fartak Espadana’s intelligent slab surface defect inspection system uses advanced imaging, machine vision, and artificial intelligence technologies to enable automated inspection of multiple slab surfaces and accurate recording of detected defects.

The Challenge

Surface defects on slabs can affect the quality of the final product during subsequent production stages.

Identifying and analyzing recurring defect patterns is also highly important, as some of these patterns may indicate problems with production equipment.

For example, recurring longitudinal scratches on a slab surface may provide an early indication of a malfunctioning or seized roller in the casting line.

Fanavar Fartak Espadana’s Solution

Using specialized imaging and illumination, the system inspects all four longitudinal surfaces of each slab: the top, bottom, and two side surfaces.

After image acquisition, the system automatically detects, classifies, and locates defects and creates a surface defect map.

A dedicated digital quality record is created for each slab, allowing product quality data and detected defects to be recorded and traced.

System Benefits

Comprehensive Slab Surface Inspection

Inspection of all four longitudinal surfaces provides a more complete view of the quality condition of each slab.

Data-Driven Quality Control

A dedicated digital quality record and defect map are created for each product.

Identification of Recurring Patterns

Recurring defects can be analyzed to support the identification of production process problems.

Preventive Maintenance Support

Analysis of recurring defect patterns can support the early identification of certain equipment abnormalities and help reduce the risk of unplanned downtime.

Technologies Used

  • Artificial Intelligence and Deep Learning
  • Industrial Machine Vision
  • Specialized Illumination
  • Multi-Surface Imaging
  • Defect Classification
  • Automated Defect Mapping

System Capabilities

  • Inspection of all four longitudinal surfaces of each slab
  • Automatic detection of surface defects
  • Defect classification
  • Defect localization on slab surfaces
  • Creation of a defect map for each slab
  • Creation of a dedicated digital quality record
  • Monitoring of recurring defect patterns
  • Generation of real-time quality and process alerts

Key Specifications

  • Inspection of all four longitudinal surfaces of each slab
  • Automatic defect detection
  • Defect classification and localization
  • Creation of a dedicated quality record for each slab
  • Creation of a defect map
  • Monitoring of recurring defects
  • Generation of real-time alerts related to quality and production processes

System Innovation

The application of this system is not limited to product quality control.

By monitoring recurring defect patterns, the system can provide operators with valuable information about the condition of production processes and equipment.

The continuous appearance of a specific defect pattern may be an early indication of an equipment abnormality. This capability supports preventive maintenance and can help reduce the risk of unplanned production-line downtime.

Target Customers and Market

  • Slab producers
  • Continuous casting units
  • Integrated steelworks

The system has been developed and commercialized for industrial use. It also has potential applications in both domestic and international steel markets.