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AI and Drones Revolutionize Bridge Maintenance for Enhanced Infrastructure Sustainability
October 9, 2024
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AI and Drones Revolutionize Bridge Maintenance for Enhanced Infrastructure Sustainability

In a groundbreaking development for infrastructure maintenance, advanced artificial intelligence (AI) and drone technology are being harnessed to detect and address corrosion in steel bridges. This innovative approach, developed by NTT Corporation and NTT e-Drone Technology Corporation, marks a significant leap forward in ensuring the safety and longevity of critical infrastructure while potentially reducing maintenance costs and environmental impact.

The new method combines AI-powered image recognition with drone technology to overcome the limitations of traditional visual inspections. By automating the process of corrosion detection and depth estimation, this solution addresses the longstanding challenges faced by infrastructure managers in maintaining steel structures. The Federal Highway Administration has previously highlighted the inconsistencies in corrosion detection due to varying operator experience and equipment sensitivity, issues that this AI-drone integration aims to resolve.

A real-world application of this technology was successfully demonstrated on a bridge in Kumagaya City, Japan. Drones captured high-resolution images of the bridge structure, which were then analyzed by AI algorithms to detect areas of corrosion and estimate the depth of damage. This approach not only improves the accuracy of inspections but also significantly reduces the need for costly and potentially hazardous manual inspections that often require scaffolding or specialized equipment.

Looking ahead, NTT plans to expand the application of this technology beyond bridges to include other steel structures such as towers and guardrails. The company aims to introduce this as a comprehensive inspection support technology by fiscal year 2025, contributing to a more sustainable approach to infrastructure maintenance. By reducing inspection costs and improving the efficiency of corrosion detection, this innovation has the potential to address the rising costs of infrastructure maintenance while ensuring public safety and extending the lifespan of critical structures.

Technologies Used:

  • AI Image Recognition: Analyzes drone-captured images to detect corrosion and estimate its depth, improving accuracy over traditional visual inspections.
  • Drone Imaging Systems: Capture high-resolution images of bridge structures, enabling access to hard-to-reach areas without the need for scaffolding.
  • Ultrasonic Devices: Used in conjunction with AI analysis to measure the loss in steel cross-sections of corroded areas, enhancing the precision of damage assessment.

Companies Involved:

Sustainability Focus:

  • Resource Efficiency: Reduces the need for physical inspections and associated resources, minimizing environmental impact.
  • Infrastructure Longevity: Enables early detection and intervention, extending the lifespan of steel structures and reducing material waste.
  • Safety Enhancement: Improves worker safety by reducing the need for manual inspections in hazardous areas.
  • Cost Reduction: Lowers maintenance costs through efficient and accurate inspections, allowing for better allocation of resources.

SDGs Impacted:

  • SDG 9 (Industry, Innovation and Infrastructure): Promotes resilient infrastructure through innovative maintenance techniques.
  • SDG 11 (Sustainable Cities and Communities): Enhances the safety and sustainability of urban infrastructure.
  • SDG 12 (Responsible Consumption and Production): Supports efficient use of resources in infrastructure maintenance.

Geographic Focus: Japan

Industry Focus: Infrastructure, Construction

Source: DroneLife

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