This story was made in collaboration with Safe Software partner Globema.
Facilitating smarter construction with AI-driven progress monitoring
AI Clearing is revolutionizing the construction industry with its AI Clearing Core™ platform, the world’s first solution for fully automated construction progress tracking and real-time quality control. This cutting-edge platform leverages AI to analyze 3D models generated from aerial photos, identifying millions of objects with 100% accuracy. Trained on a massive dataset of over 4.2 million building objects, the AI system precisely determines the size, shape, and location of these elements, providing an unparalleled level of detail.
AI Clearing Core™ integrates drone-based data, 3D project information, and construction schedules to deliver near real-time objective analyses covering the entire construction site. These insights are accessible through an interactive online reporting panel, empowering construction teams to quickly verify progress, identify discrepancies between planned and actual construction, and implement necessary corrections promptly. This proactive approach minimizes costly rework, reduces risks, and mitigates potential customer claims.
However, the diverse nature of construction projects presents a significant data challenge. AI Clearing works across a wide range of infrastructure developments, including solar farms, roads, and pipelines, requiring them to handle a multitude of spatial data formats. This required a robust solution capable of seamlessly converting and analyzing data from various sources, including proprietary formats.
AI Clearing needed a platform that could not only handle the sheer volume of data but also address the complexities arising from different coordinate systems, structures, and origins, including text-based information. The need for a comprehensive and versatile data integration tool became essential to the success of AI Clearing’s platform.
Supporting infrastructure projects through seamless data integration
AI Clearing leveraged FME to build the foundation of their solution. With FME, the team created sophisticated data conversion models tailored to the nuances of various data formats and structures. AI Clearing uses FME to perform a variety of critical tasks, including:
- Converting data from a multitude of formats,
- Seamlessly integrating non-spatial and spatial data,
- Cleaning and attributing spatial data for database import,
- Generating mileage for linear projects,
- Verifying data accuracy (both geometry and attributes), and
- Ensuring data completeness and exporting data from databases.
FME’s no-code, intuitive authoring environment eliminates the need for programming skills, enabling efficient spatial data processing. The team can incorporate diverse project scenarios within a single workflow, each adaptable to specific input data formats and characteristics, offering unparalleled flexibility.
With FME, workflows that previously took five hours in a popular GIS software are now completed in just half an hour—a 10x improvement. This efficiency gain translates to faster project turnaround times and quicker access to critical insights.
FME minimizes the risk of errors through robust data transformation and validation capabilities. The automation of AI Clearing’s data validation process allows the team to promptly notify clients about any data discrepancies, such as object duplicates that could skew analysis results. This proactive approach ensures data integrity and enhances the reliability of AI Clearing’s platform.
Finally, FME’s caching functionality allows data analysis to be performed at different processing stages within the workflow, further optimizing efficiency and enabling iterative analysis.
AI Clearing has revolutionized construction progress monitoring with FME, offering quicker project turnaround times and access to critical insights. By leveraging FME, the team can support diverse infrastructure projects with confidence, ensuring that real-time insights drive smarter, more efficient construction management.
