3D Surface Scan Damage Assessment for Precise Property Inspection
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Solution Overview
Problem
Existing damage detection systems rely on human assessment and low-resolution photographs, leading to under or overestimation of damage scope and introducing errors and delays in response.
Innovation Solution
Utilizing three-dimensional surface scans from drones or LIDAR on mobile devices, combined with artificial intelligence and machine learning, to accurately assess damage conditions and generate detailed damage reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional surface scans are used instead of low-resolution photographs, then damage detection precision is improved, but device complexity increases
Solution Approach 1:
The patent transitions from two-dimensional photographs to three-dimensional surface scans, adding a depth dimension to damage assessment. This dimensional enhancement enables more accurate measurement of damage scope, volume, and spatial relationships while maintaining practical deployment through mobile devices and drones.
Solution Approach 2:
The patent replaces manual human assessment with automated AI-based analysis of three-dimensional scan data. The system automatically processes complex spatial data to identify and quantify damage, substituting human visual inspection and manual measurement with computational algorithms that operate on structured 3D point cloud data.
2Loss of time
If autonomous drones are deployed for damage assessment, then response time is reduced, but device complexity and operational risk increase
Solution Approach 1:
The patent implements autonomous drones that independently navigate to damage sites, capture three-dimensional scans, and transmit data without requiring continuous human intervention. The system performs self-navigation, self-data-collection, and self-reporting functions, enabling rapid response while reducing the need for complex human-drone coordination protocols.
Solution Approach 2:
The patent introduces an automated processing system that acts as an intermediary between drone data collection and human decision-making. The AI-based damage assessment platform processes raw three-dimensional scan data, generates structured damage reports, and presents actionable insights to users, simplifying the overall system operation despite the complexity of autonomous drone deployment.
3Reliability
If manual damage assessment is performed by personnel, then safety risks are introduced, but automation requires higher initial investment
Solution Approach 1:
The patent replaces human personnel with autonomous drones for on-site damage assessment, eliminating exposure to safety risks such as structural collapse, hazardous materials, or unstable environments. The system uses automated navigation and remote operation to ensure that no human personnel are physically present in dangerous zones during data collection.
Solution Approach 2:
The patent creates a digital three-dimensional copy of the damaged structure through laser scanning and point cloud generation. This virtual replica allows for thorough inspection and analysis without requiring physical contact with or proximity to the actual damaged structure, enabling safe assessment of hazardous or inaccessible areas.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances damage detection accuracy, reduces response time, and minimizes human error by providing precise damage assessments and automated reporting.
Implementation Method 1
Light Detection and Ranging (LIDAR) on a user device, such as a mobile computing device, may be used to scan an area of a premises and/or generate a three-dimensional map of the area based on the scan
Data Source
AI summary
Disclosed herein are systems, methods, and computer-readable media for damage assessment using multi-dimensional surface scans. In an example embodiment, an electronic damage assessment request related to the property is received. The electronic damage assessment request comprises first location information. Based on second information provided by a mobile device comprising a LIDAR sensor associated with the computing platform, the mobile device is determined to be in a target spatial location corresponding to the first location information. Based on determining that the mobile device is in the target spatial location, a scan is initiated by the LIDAR sensor. Depth sensor data associated with a surveyed area of the property is received from the LIDAR sensor. Based on the depth sensor data, a three-dimensional surface scan of the surveyed area of the property is generated. Damage to the property is assessed based on the generated three-dimensional surface scan. A damage report including the assessed damage is generated and transmitted to an interactive display interface of a computing system.