FTL's Structural Damage And Repair Inferencing Tool (SDARIT) leverages FTLs 2D and 3D computer vision and machine learning pipeline. It provides an automated pier repair planning tool that accepts inputs from remote sensing systems and is capable of identification, volume approximation, location, and tabular summation of defects, all approximated from conventional construction practices. This system addresses an immediate Navy need for Port Damage Repair (PDR), which commonly includes gathering of 3D point-clouds. Currently, all key details of the scanned data are interpreted and entered through a process that is both manual and laborious. FTL proposes that this bottleneck can be alleviated by automatically converting structural 3D scan data into actionable Battle Damage Assessments (BDAs). SDARIT combines classically-coded algorithmic point-cloud dissection and pattern manipulation with neural network damage recognition. It does not rely on libraries of pre-modelled mechanical components, but address the inherent variability and lack of uniformity, precision, and accuracy in port structures. SDARIT will deliver volumetric construction details on both existing and missing components, while differentiating design variability from gross defects and battle damage.
Benefit: The proposed technology, when implemented, will allow a significant enhancement in structural damage surveying; at first for piers, but eventually across a wide variety of architectural structures. In addition to providing value to the Navy by accelerating the tempo and efficiency of repairing battle theater ports of opportunity, SDARITs enabling technology has applications far beyond piers and battle damage. The basic insight for using physics-based structural pattern recognition to drive ML recognition algorithms has applications throughout structures, including commercial and residential buildings, and extends to damage preparedness associated with earthquakes and climate-related disaster. This represents a market of over $20 billion per year and rising rapidly. In applications that require rapid characterization of structural damage, FTL Labs (FTLs) Structural Damage And Repair Inferencing Tool (SDARIT) system can find a significant market. FTL believes that the proposed Navy application is the perfect launch-pad for a disruptive software enterprise rivaling Autodesk ($4B) and Bentley ($1B).
Keywords: Repair Planning Tool, Repair Planning Tool, Building Information Modeling (BIM), Machine Learning (ML), Point Cloud Conversion, battle damage assessment (BDA), 3D Point Cloud Data, Structural Damage And Repair Inferencing Tool (SDARIT), Expeditionary Pier Repair
