3D Deformation Analysis for Vehicle Paint Cost Calculation
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Solution Overview
Problem
Existing methods for computing the cost of materials for painting motor vehicles are inefficient as they rely on arbitrary parameters and do not accurately account for the damaged area, leading to incorrect calculations and waste.
Innovation Solution
A system that analyzes deformations in motor vehicles using three-dimensional imaging and laser scanning to calculate the cost per square centimeter of materials needed, allowing for precise quantification of materials required for repairs, reducing waste and environmental impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If painting houses are multiplied by a conventionally established parameter to compute material cost, then the calculation process is simple, but the accuracy of material quantity estimation deteriorates
Solution Approach 1:
The patent segments the vehicle surface into multiple panels or zones, each with its own deformation analysis. Instead of treating the entire vehicle body as a single unit, the system divides it into manageable sections (doors, hoods, fenders, etc.) and analyzes deformations separately for each segment. This allows for more precise material quantity calculations while maintaining computational efficiency through modular processing.
Solution Approach 2:
The patent transitions from two-dimensional area measurements to three-dimensional volumetric analysis by incorporating deformation depth data. The system uses 3D scanning and laser measurement to obtain not just the surface area of damaged panels but also the depth of deformations, enabling calculation of the actual volume of material needed for repair. This dimensional addition significantly improves material estimation accuracy.
2Productivity
If the entire panel is considered for material calculation, then the computation is straightforward, but the actual material needed for the damaged portion cannot be accurately determined
Solution Approach 1:
The patent extracts and isolates only the damaged portions from the complete panel data. Through 3D scanning and comparison with reference surfaces, the system identifies and separates the deformed areas from the undamaged portions. This extraction allows the system to calculate material requirements solely for the damaged sections, improving both computational efficiency and material quantity accuracy by ignoring unnecessary intact areas.
Solution Approach 2:
The patent applies different treatment and material calculation methods to different regions of the vehicle panels based on their damage characteristics. Each local area is analyzed individually to determine the specific deformation type, depth, and extent, allowing for tailored material estimation that reflects the actual repair needs of each local zone rather than applying a uniform approach to the entire panel.
3Ease of operation
If painting hours multiplied by regional parameter is used to compute cost, then the method is easy to implement, but material waste increases due to incorrect calculations
Solution Approach 1:
The patent replaces manual estimation methods with automated 3D scanning and computational algorithms. Instead of relying on experienced painters to visually assess damage and estimate material needs, the system uses laser scanning, 3D reconstruction, and computer-based deformation analysis to automatically calculate precise material requirements. This substitution of mechanical/manual processes with digital systems maintains ease of implementation while dramatically reducing material waste through accurate calculations.
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 approach enables accurate calculation of material costs, reduces waste, and provides cost savings by determining the exact amount of paint needed for specific repairs, regardless of color differences.
Implementation Method 1
un known device for capturing three-dimensional spatial information, in particular with the aid of a laser
Data Source
AI summary
A system and a process are described for computing the cost of usable and consumable materials for painting motor vehicles, from the analysis of deformations in the motor vehicles, the process comprising the following steps: loading image data relevant for a three-dimensional image of a damaged vehicle in a vehicle images memory; in the images memory of the damaged vehicles, recalling the image data of at least one three-dimensional image of a sample vehicle from a database of images of sample vehicles; automatically comparing the three-dimensional image of the damaged vehicle with the corresponding three-dimensional image of the sample vehicle identifying, through an automatic comparison between the two images: damage position or deformation and detecting the distorted regions; selecting through graphical tools for delimiting or pointing out the damaged or distorted regions identified from the automatic comparison on at least one of the two images; computing perimeter, area and/or volume from the damaged or distorted region or regions; computing a deformation severity degree and assigning the deformation severity degree to every damaged or distorted region; computing labor times and costs for repairing the damaged or distorted area; and producing a virtual image of the sample vehicle.