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February 21, 2026Procedia CIRPOpen Access

XAI-Enabled Inspection Agent for Automated Defect Detection and Intelligent Reporting in the field of Non-Destructive Testing and Smart Manufacturing Systems

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Authors

VVVishwesh VishweshDBDavid Böttger

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Overview

Novel AI framework enhances defect detection in non-destructive testing, suggesting improved efficiency and transparency.

Key Points

  • The study aims to develop an AI-enabled inspection agent to improve defect detection and reporting in non-destructive testing.
  • Integration of a 3D Convolutional Neural Network for volumetric defect detection.
  • Use of a customized 3D Grad-CAM engine for visual explanations.
  • Implementation of a retrieval-augmented generation pipeline for automated report generation.
  • Development of a web-based demonstrator with an interactive chat interface for user queries.
  • Demonstrated enhanced defect detection accuracy with interpretable visualizations.
  • Automated compliance checks aligned with ISO standards and regulation guidelines.
  • Reduced reliance on manual interpretation, leading to faster inspection cycles.
  • Unified system architecture fostering modularity and user-friendly interaction.

Cite This Study

Vishwesh et al. (2026) studied this question.

synapsesocial.com/papers/69994b41873532290d01f7b0https://doi.org/10.1016/j.procir.2025.09.002
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