IBLAG/
Certification

AI Model trained to evaluate Test-Reports, it is trained with the complete FCC database by IB-Lenhardt AG

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Optimized FCC Certification with AI Support

FCC certification is an essential requirement for market access in the United States. At IB-Lenhardt AG, our established digital platform TAMSys has long supported efficient FCC certification. Recently, we have enhanced TAMSys with AI capabilities to further streamline the process, reduce processing times, and improve transparency.

How Our AI-Enhanced Solution Works

Automated Document Analysis

  • Pre-checks compliance reports and extracts relevant data from unstructured documents.
  • Uses custom OCR models and NLP techniques to process legacy PDFs and standardize technical terminology.

Process Optimization and Validation

  • Applies machine learning algorithms to identify inconsistencies in technical data and documentation.
  • Uses automated pattern recognition to detect critical compliance parameters, reducing the need for manual reviews.

Streamlined Workflow

  • Integrates multiple data sources (e.g., FCC certification records, compliance documents) for a comprehensive view of the process.
  • Reduces the typical certification duration, facilitating faster market entry.

Key Benefits

Efficiency

  • Decreases processing times, potentially reducing certification from several weeks to a few days.
  • Lowers manual document review requirements.

Accuracy

  • Improves document validation reliability through AI-driven analysis.
  • Enhances consistency in compliance assessments.

Transparency

  • Provides greater process visibility, allowing for improved tracking and control throughout the certification workflow.

Expertise

  • Combines long-standing operational experience with advanced AI technology to support compliance with FCC requirements.

Technical Overview

Natural Language Processing Models

  • Used for classifying and validating compliance documents in a generalized manner.

Computer Vision Techniques

  • Analyzes technical diagrams and images to incorporate visual data into the review process.

Advanced Machine Learning Algorithms

  • Cross-references data from multiple sources to ensure consistency.
  • Preliminary analyses indicate up to 94% accuracy in document validation, an 89% reduction in processing times, and fewer validation errors. (Figures based on early analyses and subject to further validation.)

Conclusion

IB-Lenhardt AG continues to refine TAMSys to support the FCC certification process. By integrating advanced AI features into our well-established platform, we aim to offer a more efficient and transparent pathway to market access.

For more information on our AI-driven FCC certification solutions, please contact us.