Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Intelligent Automated Defect Detection: AI Solutions for Roads, Welding, and Industrial Inspection

Intelligent Automated Defect Detection: AI Solutions for Roads, Welding, and Industrial Inspection

Zargarzadeh, Hassan
Naddaf-Sh, Amir-M
Naddaf-Sh, Sadra

Hardcover

Technology & Engineering

PREORDER - Expected ship date October 15, 2026

ISBN10: 1041287976
ISBN13: 9781041287971
Publisher: CRC Press
Published: Oct 15 2026
Pages: 242
Language: English

This book presents cutting-edge research on the integration of artificial intelligence, deep learning, and computer vision with traditional nondestructive testing (NDT) methods. It compiles recent advances in automated defect detection across critical infrastructure and industrial applications.

Intelligent Automated Defect Detection: AI Solutions for Roads, Welding, and Industrial Inspection demonstrates how AI-driven solutions are transforming quality inspection from subjective, time-intensive manual processes into real-time, scalable, and objective automated systems. The book provides comprehensive coverage of machine learning applications in civil infrastructure inspection and industrial welding quality assurance, utilizing radiography, ultrasonic B-scans, and time-series sensing. The authors present state-of-the-art deep learning architectures including convolutional neural networks, transformer models, and foundation models like the Segment Anything Model (SAM), alongside practical guidance on developing explainable AI systems and overcoming data scarcity challenges. The book offers proven methodologies for transitioning from proof-of-concept studies to robust real-world applications that enhance inspection efficiency while reducing costs and failure risks. Real-world case studies are included throughout, with additional applications available on the authors' GitHub page.

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