Asset Management
The future of asset management lies at the intersection of artificial intelligence (AI), advanced data acquisition techniques, and digital twins. By leveraging AI algorithms trained on LiDAR-derived point clouds and high-resolution photogrammetry data, we can now create precise digital twins of powerline infrastructure. Additionally, AI-powered image analysis facilitates automated defect detection, allowing for early intervention and preventative maintenance, further enhancing the safety and reliability of infrastructure.
GeoAI Viewing Platform
Digital twin is one of the most advanced technology for asset management. Leveraging cutting-edge SLAM and 3DGIS technology, GeoAI digital twin platform simplifies asset management processes with unparalleled efficiency. It begins with a comprehensive scan of your environment using advanced camera and lidar scanner. Our AI-powered algorithm then seamlessly generates detailed point clouds, panoramic models, and mesh models of the scanned project. Utilizing AI-driven dynamic object removal, unwanted elements are deleted from the scene, ensuring a clear and accurate representation.
These 3D asset models can seamlessly synchronize with other professional 3D software, enhancing interoperability and workflow efficiency. With precision down to the centimeter level, our platform enables precise measurements and annotations, facilitating collaboration and informed decision-making. Equipped with this 3D viewer, stakeholders can continuously monitor and update assets, implementing preventive actions as needed to optimize asset performance and longevity.
Powerline Digital Twin
GeoAI presents an advanced and user-friendly solution tailored for the comprehensive inspection of power lines through the analysis of LiDAR point clouds. This cutting-edge GeoAI technology boasts a range of powerful tools for classification of critical elements such as power lines, transmission towers, vegetation, buildings, and various other objects of interest within the surveyed area.
One notable feature of GeoAI is its capability to automate the detection of user-defined danger points, addressing concerns such as vegetation encroachment and potential tree fall hazards. This ensures a proactive approach to risk management and enhances the overall safety and reliability of power line infrastructure.
Moreover, GeoAI goes beyond mere analysis by incorporating built-in reporting functions that empower users to swiftly generate detailed project reports. These reports provide a comprehensive overview of the inspection results, facilitating informed decision-making and streamlined communication within project teams. The versatility of GeoAI extends to result exports, allowing users to seamlessly transfer findings in KML formatted files, ensuring compatibility and ease of integration with other geospatial systems. In essence, GeoAI not only simplifies and enhances the power line inspection process but also contributes to a more informed and proactive approach to infrastructure management.
Infrastructure Health Monitoring
In a world where aging infrastructure poses potential failures could have catastrophic consequences, GeoAI steps in as a solution. Traditional methods of inspection for structural defects are not only costly and time-consuming but also pose significant risks. GeoAI revolutionizes this process by harnessing the power of close-range photogrammetry and machine vision.
This innovative approach enables us to automatically detect structural defects in infrastructure. By utilizing machine vision technology, we ensure accurate assessments while minimizing costs and time. The data is now ready to be processed into an asset management plan. It is ultimately contributing to safer and more sustainable asset management for infrastructure.
Asset Management Portfolio
GeoAI have developed innovative solutions such as concrete spalling detection using advanced artificial intelligence techniques. Leveraging the power of GeoAI, we have created algorithms capable of accurately identifying and assessing concrete spalling, a common deterioration issue in infrastructure assets like bridges and buildings.
As part of our commitment to transparency and accessibility, we have showcased our concrete spalling detection capabilities through a demonstration video providing stakeholders with a visual overview of our technology in action. Additionally, our approach integrates seamlessly with digital twin platforms, offering remote monitoring and visualization of asset conditions. It is therefore can enhance asset management strategies and optimizing lifecycle performance.