Pellet Size Measurement

Pellet Size Measurement in Steel Production

Pelletizing is a critical stage in the steel production process. Accurate pellet sizing and proper size grading play an important role in maintaining product quality and reducing process waste.

To address this requirement, Fanavar Fartak Espadana has developed an AI-powered system for accurate pellet dimension measurement and size classification.

The system continuously evaluates material conditions and provides valuable data for pellet grading, quality inspection, and process control. This information can support production optimization and help reduce waste caused by process and production deviations.

One of the key features of the system is its ability to provide real-time measurement and inspection results. Results are presented through a defect map, enabling operators to quickly identify potential issues and take appropriate corrective action.

All measurement and inspection data can also be stored for more detailed analysis and long-term evaluation.

By providing accurate and timely information, the system supports more efficient quality control and enables production-line adjustments aimed at improving product quality while minimizing process waste.

Fanavar Fartak Espadana applies advanced technologies and artificial intelligence to support productivity improvement and production cost reduction in the steel industry. This pellet measurement system is one of the solutions developed toward this objective.

Optical Character Recognition (OCR)

Industrial OCR and Image Processing

With industrial image processing as one of its core areas of expertise, Fanavar Fartak Espadana has developed advanced software packages designed to address image-processing requirements across industrial applications with high speed and accuracy.

These solutions use modern image-processing technologies and advanced algorithms to enable detailed analysis of industrial images.

One of the company’s key developments is an advanced image-processing module capable of recognizing numbers applied to different surfaces using various printing techniques.

This capability enables the identification and recording of information marked on industrial components and products, supporting production control, traceability, and quality assurance processes.

Slab Dimension Measurement

The Fanavar Fartak Espadana image-processing system can also be used for slab dimension measurement.

By integrating an additional camera into the system, slab dimensions can be measured accurately and in real time. This capability is particularly valuable in steel production processes where accurate dimensional measurement and control of slabs are required.

Applications in Steel Casting

One of the primary applications of this combined software and hardware solution is in the steel casting process.

In this environment, accurate and rapid data processing is important for maintaining product quality. Fanavar Fartak Espadana’s industrial image-processing systems are designed to support these demanding inspection and measurement requirements.

Intelligent Conveyor Belt Surface Defect Inspection System

Intelligent Conveyor Belt Condition Monitoring

Intelligent and comprehensive conveyor belt condition analysis can significantly improve maintenance efficiency and help reduce maintenance-related costs in steel production facilities.

Using precision sensors, artificial intelligence modules, and laser-based measurement systems, the solution enables continuous monitoring and identification of potential conveyor belt defects and risks.

Early detection of such conditions can help reduce the risk of unexpected failures and unplanned production downtime while supporting longer equipment service life.

Key Features of Intelligent Conveyor Belt Analysis

1. Detection of Hidden Damage and Potential Risks

The intelligent monitoring system is designed to identify damage that may not be visible during conventional external inspection.

Potential conditions may include internal cracks, advanced corrosion, and structural weaknesses that could otherwise remain undetected during their early stages.

When abnormal conditions are detected, the system can generate alerts to support timely inspection and preventive action.

2. Detection of Surface and Operational Defects

The system can continuously monitor physical and operational conveyor belt defects, including:

  • Holes, cuts, and cavities
  • Trapped foreign objects and protruding sections
  • Belt-edge damage and abnormal surface wear
  • Belt cleanliness and conditions associated with inadequate cleaning

3. Belt Thickness Measurement and Detailed Mapping

An advanced laser module enables accurate measurement of conveyor belt thickness.

In addition to identifying weakened areas and locations susceptible to damage, the collected data can be used to generate a detailed 3D map of the belt, providing valuable information for future maintenance and replacement planning.

4. Comprehensive Information for Maintenance and Replacement

By collecting detailed condition data, the system provides information about the current state of the conveyor belt.

This may include the precise locations of detected defects as well as information for determining appropriate specifications for replacement belts, helping improve maintenance and replacement planning.

Benefits of Intelligent Conveyor Belt Inspection

  • Reduced Risk of Unexpected Failures: Early identification of developing defects can reduce the likelihood of major conveyor belt failures.
  • Improved Operational Efficiency: Reducing unplanned downtime can contribute to lower operating costs and improved production continuity.
  • Maintenance Cost Optimization: Preventive maintenance can reduce the need for extensive and costly corrective repairs.
  • Improved Safety: Continuous conveyor belt condition monitoring can help reduce equipment-related risks to personnel.