Vehicle Damage Detection Booth Using Structured Light Imaging
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Solution Overview
Problem
There is a need to accurately assess vehicle damage, particularly dents and scratches, to ensure safety and prevent dangerous vehicles from being used, as existing methods are inefficient in detecting and quantifying such damage quickly and reliably.
Innovation Solution
A vehicle damage detection system comprising a booth with damage assessment cameras and a data processor that captures images of the vehicle using structured and non-structured light, identifies damage, and generates a report, which can be transmitted to users if the damage exceeds a predetermined threshold, allowing for informed decision-making before vehicle usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection methods are used to assess vehicle damage, then operators can evaluate dents and scratches, but the process is time-consuming and lacks consistency in damage quantification
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical imaging system using cameras to capture vehicle surfaces. The system uses image processing algorithms to automatically detect, measure, and quantify dents and scratches, eliminating the need for manual measurement tools and operator judgment while providing consistent, precise damage assessment results.
Solution Approach 2:
The system enables self-assessment of vehicle damage through automated image capture and analysis. The cameras and processing algorithms independently evaluate the vehicle condition without requiring human operators, allowing the system to autonomously generate damage reports with quantified measurements of dents and scratches.
2Reliability
If comprehensive damage assessment is performed to ensure vehicle safety, then all dents and scratches can be detected, but the complexity of the detection system increases
Solution Approach 1:
The patent divides the vehicle surface into multiple inspection zones captured by different cameras positioned at various angles. Each camera focuses on specific areas (front, rear, sides) and captures images of particular body panels. This segmentation allows comprehensive coverage of the entire vehicle while keeping each camera's field of view and processing requirements manageable, balancing thoroughness with system simplicity.
Solution Approach 2:
The imaging system uses multiple cameras that serve dual purposes: capturing both dent detection images and scratch detection images from the same hardware platform. The system universally assesses multiple damage types (dents, scratches, panel gaps) across all vehicle surfaces using a unified camera network, reducing overall system complexity compared to having separate specialized systems for each damage type.
3Productivity
If automated image processing is used to identify damage, then damage can be quickly quantified, but the system requires sophisticated algorithms and processing power
Solution Approach 1:
The system performs preliminary image capture with multiple cameras positioned to capture all relevant vehicle surfaces simultaneously as the vehicle passes through the inspection booth. Images are captured in advance during a single vehicle passage, allowing subsequent processing to occur without waiting for additional vehicle positioning or re-capturing, thereby accelerating the overall assessment speed while distributing processing load.
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
The system enables quick and accurate detection of vehicle damage, enhancing safety by informing users of potential risks and facilitating informed decisions regarding vehicle usage or repair, while also providing a method for valuing vehicles based on their condition.
Implementation Method 1
a first field of view in which a structured light image will be reflected from a structured light source located within the booth to be visible to at least one of the one or more damage assessment cameras by a vehicle moving along a vehicle pathway
Implementation Method 2
a second field of view in which a non-structured light image will be reflected to be visible to the single camera when a vehicle moves along the vehicle pathway
Data Source
AI summary
A vehicle damage detection system comprising: a booth having a booth entrance for a vehicle to enter the booth and a booth exit for the vehicle to exit the booth; a plurality of damage assessment cameras orientated to capture damage assessment images of the vehicle when the vehicle is located at a damage assessment zone within the booth; a data processor configured to: receive the damage assessment images; execute a program to identify and assess damage to the vehicle using the damage assessment images; and generate a damage report quantifying the damage to the vehicle.