INTRODUCTION

To effectively address the numerous challenges in the field of bridge inspection, RIEBO has meticulously developed an innovative solution powered by drone technology. This solution deeply integrates ultra-high-resolution imaging, AI-driven defect detection, and digital twin technology.

On the one hand, the application of these advanced technologies makes bridge inspection operations safer and more efficient, significantly improving inspection speed. On the other hand, leveraging the digital twin model of the bridge enables comprehensive monitoring of the dynamic changes in bridge defects over time. This allows for timely and accurate identification of potential issues, thereby providing a solid and reliable scientific basis for subsequent bridge management and maintenance. Ultimately, it ensures the safe operation and long-term stability of bridges.

Y Further reading Bridge Drone Inspection Solution →

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.

Advantages of Our Solution

  • Digitalized Defect Management

    Displays defect location, distribution, and severity in 3D, supporting maintenance, trend tracking, and preventive decisions.

  • Comprehensive Surface Inspection

    Overcomes spatial limitations by enabling close-up inspection of critical components and automatically generates inspection flight paths, ensuring complete data collection.

  • Increased Efficiency and Reduced Costs

    Utilizes easy-to-operate consumer drones for flexible, single-operator deployment, enabling frequent, routine inspections.

  • Reliable Inspection Results

    Tasks are performed according to standardized protocols, augmented by AI technology to eliminate human errors. All data is traceable for verification.

  • Reduced Safety Risks

    Replaces manual labor in high-risk operations, minimizing accidents caused by equipment failure or non-compliance.

COMPONENTS OF THE INSPECTION SYSTEM

SPECIALIZED INSPECTION CAMERA

With the rapid rise of the low-altitude economy, drones have transformed productivity across industries. However, in precision-demanding fields like UAV inspections and dam monitoring, existing aerial cameras fall short of meeting strict accuracy requirements. To tackle this challenge, RIEBO developed the SF10 Medium-Format Inspection Camera, capable of detecting cracks as small as 0.1mm, delivering unparalleled performance to support high-precision inspection tasks.

The SF10 achieves its remarkable inspection resolution and precision through its advanced technical architecture. It features a medium-format image sensor with exceptional pixel density, offering a resolution of 11,276 x 9,200 pixels. Paired with RIEBO’s proprietary 120mm ultra-telephoto optical lens, capable of resolving up to 100 megapixels, this capability forms the critical foundation for achieving sub-millimeter inspection accuracy.

Additionally, the SF10 integrates a high-precision three-axis gimbal, offering exceptional dynamic control accuracy with deviations kept within 0.002°. This ensures the camera remains perfectly stable at the moment of exposure, enabling the capture of clear, high-resolution images of defects and providing reliable data for precise analysis.

multi rotor
AeroInspectPro

INTELLIGENT INSPECTION PLANNING

AeroInspectPro meticulously developed by RIEBO Technology, is a professional flight path planning software tailored for drone applications across various fields, including roads, bridges, dams, rivers, construction, power corridors, precision agriculture, and cultural heritage preservation. The software performs detailed inspection flight path planning based on the target's 3D model or point cloud model. By utilizing high-precision 3D model data, the planning process aligns more closely with real-world scenarios, ensuring comprehensive and accurate inspections.

Technologically, AeroInspectPro adopts advanced 3D visualization techniques for flight path planning, enabling automated path generation while allowing users to dynamically adjust parameters during operation, significantly enhancing planning efficiency.

AI Crack Damage Detection

The process begins with the YOLOv5 crack detection model, which identifies whether a test image contains cracks. For images with detected cracks, the U-Net3+ segmentation model extracts crack pixels, generating a binary crack image. Next, through image denoising, crack skeleton and edge extraction, and an eight-direction search method for width measurement, the system obtains detailed crack morphology and width information.

Currently, the RIEBO Galaxy AI platform has been trained on over 10,000 high-resolution crack damage datasets, achieving a crack detection accuracy of over 90%. As the dataset expands, the accuracy is expected to improve further.

bridge crack
inspection management platform

RIEBO TONGTU INSPECTION

RIEBO Tongtu Inspection is a professional platform dedicated to digitalized inspection management, offering the following key advantages:

  • Deep Integration of Spatial and Temporal Data

    Combines high-precision digital twin mapping with historical data tracking, providing comprehensive insights into the evolution of inspection targets for data-driven decision-making.

  • AI-Powered Defect Detection and Precision Management

    Automates defect identification with advanced AI, ensures accuracy through manual verification, and supports precise localization and 3D model annotation.

  • Streamlined Operation and In-Depth Insights via 3D Models

    Enables fast defect localization, 3D photo mapping, and unique defect tracking for intuitive, detailed, and long-term condition monitoring.

  • Closed-Loop Precision Management for the Entire Process

    Streamlines the entire inspection process with standardized workflows and intelligent automation, ensuring efficiency, accuracy, and seamless task execution.

INSPECTION SOLUTIONS

  • Road Inspection Solution

    Riebo's road inspection solution utilizes advanced UAVs and AI to efficiently detect and classify road surface issues like cracks and fractures with over 95% accuracy.

    Road Inspection Solution →
    road inspection solution
  • Electroluminescence (EL) Inspection Solution

    EL Inspection Solution utilizes DJI drone platforms equipped with high-sensitivity electroluminescence (EL) cameras to detect hidden defects in solar cells, such as cracks, dark spots, and ribbon marks.

    EL Inspection Solution →
    Solar Cell Inspections
  • Agricultural Remote Sensing Program

    Riebo's Ultra-High Resolution Precision Agricultural Remote Sensing Program, which leverages advanced UAV-mounted cameras to collect detailed agricultural data for improved crop monitoring, pest detection, and precision farming.

    Agricultural Remote Sensing Program →
    agricultural remote sensing