2D Map Alignment for Building Documentation Change Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for creating and comparing digital 2D floorplans of buildings are complex, require specialized personnel, and are time-consuming, especially in sensitive situations like crime or accident scene investigations, due to the need for bulky scanning equipment and manual labeling and comparison processes.
Innovation Solution
A system utilizing a processor and memory with computer executable instructions to receive and compare 2D maps generated by a coordinate measurement scanner and a portable computing device, aligning and identifying differences between maps taken at different times using image recognition techniques for automatic annotation and segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing scanning systems use bulky scanning equipment mounted on movable structures, then measurement precision can be achieved, but the scanning process becomes time-consuming and complex
Solution Approach 1:
The patent uses image sensors to capture visual representations of the environment and processes these images to generate 2D floorplans, rather than using traditional bulky laser scanners. This copying approach through image-based measurement achieves the required precision while significantly reducing scanning time and equipment complexity
Solution Approach 2:
The patent replaces the mechanical laser scanning system with an image-based system using cameras and image processing algorithms. This substitution eliminates the need for complex movable structures and laser equipment, achieving the same measurement goals through optical imaging and computational methods
2Measurement precision
If existing systems require specialized personnel to perform scanning and manual labeling, then measurement precision is maintained, but device complexity and operational difficulty increase
Solution Approach 1:
The patent implements automated image processing and floorplan generation that performs the measurement and documentation tasks independently without requiring specialized personnel. The system automatically processes images, identifies features, and generates accurate 2D floorplans, eliminating the need for skilled operators while maintaining precision
Solution Approach 2:
The patent transforms the measurement process from manual coordinate measurement to automated image parameter analysis. By changing the input parameters from physical measurement data to image pixel data, the system achieves automated processing that maintains accuracy while reducing operational complexity
3Loss of information
If manual labeling and comparison of digital 2D floorplans is performed, then information accuracy is maintained, but productivity decreases
Solution Approach 1:
The patent replaces manual visual inspection and labeling with automated image recognition and comparison algorithms. The system automatically detects changes between sequential images and generates updated floorplans, maintaining information accuracy while dramatically increasing documentation speed and productivity
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
This system simplifies the process of documenting and comparing building layouts over time, reducing the need for manual intervention and enabling efficient tracking of changes and object states, facilitating faster and more accurate documentation in various applications.
Implementation Method 1
a scanning device that determines coordinates of surfaces in the environment by emitting a light and capturing a reflection to determine a distance
Data Source
AI summary
A system that includes computer executable instructions that, when executed by the processor, cause the processor to perform operations including receiving a first 2D map of a location. The first 2D map was generated at a first time based on first scan data from a coordinate measurement scanner and a portable computing device. The coordinate measurement scanner includes a light source, a first image sensor, and a controller. The portable computing device includes a second image sensor. A second 2D map of the location is received. The second 2D map was generated at a second time based on second scan data from the coordinate measurement scanner and the portable computing device. The first 2D map is aligned with the second 2D map, and their contents are compared. Any differences in the contents of the first 2D map and the second 2D map are output.