INTRODUCTION

To address bridge inspection challenges, our drone-based solution combines advanced imaging with AI-driven analysis and digital twin technology. This approach not only makes inspections safer and faster but also enhances diagnostic accuracy. With digital twin models, we create virtual replicas of bridge structures, enabling us to monitor changes over time and detect issues early. AI-powered identification tools then help pinpoint specific structural weaknesses, guiding targeted maintenance decisions and supporting infrastructure longevity.

under bridge inspection with a drone

- EFFICIENT WORKFLOW -

STEP 01
DATA CAPTURE

The inspection process starts by designing an optimized flight path based on a realistic 3D digital twin of the bridge. This virtual model provides a detailed foundation for precise route planning, ensuring all critical areas are covered. Drones then follow the planned route to capture high-resolution imagery, enabling comprehensive and accurate data collection for further analysis. This streamlined approach ensures safety, efficiency, and thorough coverage of the inspection area.

STEP 02
DATA PROCESSING

The process combines precise positioning and alignment of collected image data with AI-driven defect recognition. Data processing ensures accuracy by refining spatial information, while advanced algorithms identify and categorize structural issues with high precision. Together, these steps deliver actionable insights, transforming raw data into a reliable basis for maintenance and management.

data-process
STEP 03
INSPECTION MANAGEMENT

The "Inspection Management" step integrates all collected data into a centralized platform, ensuring seamless oversight and effective management of the inspection process. It allows for easy access to report, real-time tracking, and efficient workflow coordination. This comprehensive management system helps ensure data integrity, supports decision-making, and facilitates proactive maintenance strategies.

Y For a detailed Riebo bridge inspection workflow, please refer to Riebo Bridge Inspection: Step-by-Step Guide >

RIEBO BRIDGE INSPECTIONS VS. TRADITIONAL

  • RIEBO BRIDGE INSPECTIONS
  • Enhanced Accuracy

    AI and high-resolution images improve defect detection.

  • Full Coverage Inspections

    Drones eliminate blind spots with digital twin simulation.

  • Efficient Deployment

    Low-cost, user-friendly drones ensure flexibility and efficiency.

  • Precision Measurements

    Millimeter-level defect accuracy with advanced positioning.

  • 3D Visualization

    Digital twin integration for detailed maintenance analysis.

  • TRADITIONAL
  • Human Error in Diagnoses

    Misdiagnosis and missed detections from technical and experiential limitations.

  • Access Challenges

    Difficulties in reaching high or inaccessible areas, creating blind spots.

  • Cost and Safety Issues

    High costs, inefficiency, and risks with inspection vehicle rentals.

  • Low Data Quality

    Poor image quality, low accuracy, and limited coverage.

  • Limited Digitization

    Low integration and difficulty in reviewing results.

COMPONENTS OF THE INSPECTION SYSTEM

DATA
ACQUISITION SYSTEM

The collection system uses the DJI M300/350 RTK drone and Riebo's advanced inspection camera, the SF10, designed for precision bridge inspections. This camera has the specialized lens and shutter that reduce distortion and improve image quality, even in complex lighting conditions. Riebo's route planning software, AeroMap Pro, allows for customizable, 3D-based route planning to ensure full coverage. This integrated system provides high-resolution, accurate data capture for bridge inspections, enhancing efficiency and safety.

multi rotor

INTELLIGENT INSPECTION MANAGEMENT PLATFORM

Riebo Inspect Master is a comprehensive digital platform that centralizes bridge inspection management. It addresses challenges like lack of intuitive reporting, low data reusability, and ineffective process supervision. The platform integrates personnel management, data tracking, AI-based defect identification, 3D defect visualization, historical comparison, and statistical analysis, enabling efficient, accurate, and customizable reporting.

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