Deformation Detection on Reflective Metal Surfaces
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Solution Overview
Problem
Current methods for identifying deformations on reflective metallic surfaces, such as those on motor vehicles, are limited by their size, operator discomfort, and inefficiency, particularly when dealing with small deformations or frequent inspections in high-density areas prone to hail or collisions.
Innovation Solution
A portable deformation identification device using a lighting system with light-emitting diodes and a target with grooves and dark bands to project streaks onto the surface, combined with a camera system for image capture and processing, allowing for efficient detection of deformations without direct observation of raking light, reducing operator fatigue and enabling easy movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional raking light inspection is used to identify deformations, then operator expertise can detect irregularities, but the operator experiences eye strain and discomfort from positioning their eye within the light beam
Solution Approach 1:
The patent creates a visual copy of the deformation information by projecting structured light patterns onto the surface and capturing the reflected pattern with a camera. The camera records an image that copies the deformation data, which is then processed to highlight irregularities. This eliminates the need for the operator to directly view the raking light while preserving the ability to detect deformations through the captured and processed image data.
Solution Approach 2:
The patent introduces a camera and image processing system as an intermediary between the light source and the operator's eyes. Instead of the operator directly observing the light reflection patterns, the camera captures the reflected light pattern and the processing unit enhances the visualization of deformations. This intermediary system transfers the deformation detection function from direct human observation to an automated optical-mechanical system.
2Ease of operation
If portable deformation identification devices are designed to be lightweight and movable, then ease of transport is improved, but the device may lack sufficient illumination intensity for effective deformation detection
Solution Approach 1:
The patent employs dynamic control of the light source intensity, allowing the illumination system to adjust its output based on operational requirements. The microcontroller unit can modulate the LED brightness to provide sufficient illumination intensity for effective deformation detection while managing power consumption. This dynamic adjustment enables the portable device to maintain adequate light output without requiring oversized or high-power fixed illumination systems.
Solution Approach 2:
The patent combines multiple functions into a single integrated portable unit: the lighting system, camera, processing unit, and power supply are merged into one device. This integration allows the device to be self-contained and portable while maintaining sufficient illumination capability through efficient use of LED technology and power management. The combined system eliminates the need for separate heavy-duty lighting equipment.
3Measurement precision
If structured light projection is used to enhance deformation visibility, then measurement precision is improved, but the device complexity increases due to additional optical components
Solution Approach 1:
The patent applies structured light patterns (such as grids or lines) only to specific regions of the surface being inspected, rather than illuminating the entire surface uniformly. The camera captures only the relevant reflected patterns from the area of interest. This localized approach enhances deformation detection precision in the inspected region while minimizing the complexity of the overall optical system, as only the necessary portion of the surface requires structured illumination.
Solution Approach 2:
The patent replaces complex mechanical optical systems with electronic control and digital image processing. Instead of using mechanically complex optical components to create and analyze light patterns, the system uses electronically controlled LEDs to project patterns and a camera with digital image processing to analyze the reflected patterns. The microcontroller unit coordinates the lighting and imaging, substituting mechanical complexity with electronic control and software-based pattern recognition.
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
Facilitates the detection of deformations of all sizes, reduces operator discomfort, and enhances efficiency by allowing for autonomous operation and quick assessment of deformation presence and quality, while being cost-effective and easily portable.
Implementation Method 1
a plurality of light-emitting diodes arranged on an inner surface of the base of the housing
Implementation Method 2
at least one camera configured to capture images of the reflection on the reflective metallic surface to be inspected of the light emitted by the lighting device
Data Source
Figure 1~6
Figure 3~7
Figure 8A~8B
AI summary
The present invention relates to a device for analyzing deformations (200) on a reflective metallic surface (3), in particular a body panel of a motor vehicle (30). This deformation analysis device (200) comprises a deformation identification device (100) including: • a lighting device (1) disposed in a housing (5) comprising a plurality of light-emitting diodes (7) and a target (9) having a plurality of grooves (11) configured to allow the passage of at least a portion of the light emitted by the plurality of light-emitting diodes (7), • at least one camera (101) configured to capture images of the reflection on a reflective surface (3). The deformation analysis device (200) further comprises: • an additional fixed camera (201).• a processing unit configured to link files created by the identification device (100) and by the additional camera (201).