Portable Vehicle Imaging Gate for Multi-Angle Incident Assessment
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Solution Overview
Problem
Conventional vehicle imaging techniques suffer from limited accessibility and incomplete data capture, requiring users to travel long distances and failing to adequately assess vehicle features beyond the side and overhead exteriors.
Innovation Solution
A portable imaging gate apparatus with multiple imaging assemblies at various angles captures vehicle image data, including undercarriage views, which is analyzed by an external processing server to identify features related to vehicle incidents, updating risk evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If stationary imaging apparatuses are used for vehicle imaging, then imaging capability is provided, but accessibility is poor and users must travel great distances
Solution Approach 1:
The patent transforms the stationary imaging apparatus into a mobile robotic vehicle that can autonomously navigate to the user's location. This dynamic conversion allows the system to move from a fixed position requiring user travel to a mobile platform that brings imaging services directly to users, thereby improving accessibility and eliminating travel time.
Solution Approach 2:
The robotic vehicle acts as an intermediary between the user and the imaging system. Instead of users directly accessing stationary imaging apparatuses, the robotic vehicle serves as a mobile intermediary that travels to the user, performs imaging tasks, and returns data, thereby resolving the accessibility and travel time issues.
2Loss of information
If conventional stationary imaging apparatuses are used, then side and overhead exterior views are captured, but data completeness is limited and undercarriage views are missed
Solution Approach 1:
The robotic vehicle dynamically adjusts its imaging capabilities by switching between different imaging assemblies (side-view cameras, overhead cameras, and undercarriage cameras) based on its position and task requirements. This dynamic configuration allows comprehensive data collection including undercarriage views without requiring a permanently complex multi-position stationary structure.
Solution Approach 2:
The imaging system is segmented into multiple specialized imaging assemblies (side-view, overhead, undercarriage) that are distributed across different positions. The robotic vehicle integrates these segmented imaging functions into a single mobile platform, allowing comprehensive coverage while managing complexity through modular design.
3Reliability
If multiple imaging assemblies at various angles are deployed, then comprehensive vehicle data is captured, but device complexity increases
Solution Approach 1:
The robotic vehicle is designed as a universal platform that performs multiple functions: navigation, imaging from various angles, data transmission, and risk evaluation. By consolidating side-view, overhead, and undercarriage imaging capabilities into a single multi-functional vehicle, the system achieves comprehensive data collection while managing complexity through integration rather than separate stationary apparatuses.
Solution Approach 2:
The system dynamically activates only the imaging assemblies needed for the current task and position. The robotic vehicle can switch between different imaging modes (side-view, overhead, undercarriage) as required, rather than maintaining all imaging systems continuously active, thereby improving reliability when needed while managing overall system complexity.
Data Source
AI summary
A gate-based vehicle image capture system for analyzing vehicle image data is presented. The system may include a portable imaging gate apparatus configured to capture vehicle image data of a vehicle. The portable imaging gate apparatus may include a plurality of imaging assemblies positioned at a plurality of viewing angles. The system may further include an external processing server configured to receive the vehicle image data from the portable imaging gate apparatus. The external processing server may also analyze the vehicle image data to identify a plurality of vehicle features, and determine a first vehicle feature from the plurality of vehicle features. The first vehicle feature may be related to a vehicle incident. The system may also include a provider server configured to receive the first vehicle feature from the external processing server, and update an aspect of a risk evaluation based on the first vehicle feature.