Automated Driver Body Parameter Matching for Interior Selection
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Solution Overview
Problem
Current methods for selecting car interior products, such as car seats and handlebars, are laborious, inaccurate, and costly due to the need for manual measurement and evaluation of driver body parameters, often requiring specialized equipment and resulting in suboptimal product selection.
Innovation Solution
A method and system using a mobile device with a camera to capture images of the driver's body, determining relevant body parameters, and matching them with car interior products from a database to provide a prioritized list for optimal selection, enabling automated and individualized choices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual measurement and evaluation of driver body parameters is used, then product selection can be performed, but the process becomes laborious and time-consuming
Solution Approach 1:
The patent replaces manual mechanical measurement methods with automated optical measurement using a camera system. The camera captures images of the driver's body, and image processing algorithms automatically determine body parameters, eliminating the need for manual measurement and evaluation by sales personnel.
Solution Approach 2:
The system enables self-service measurement where the driver themselves can be measured by the camera system without requiring specialized sales personnel. The automated image processing and product recommendation system allows the driver to obtain personalized product recommendations independently.
2Measurement precision
If specialized equipment and personnel are used for measurement, then measurement precision can be improved, but device complexity and costs increase
Solution Approach 1:
The patent uses a standard camera to capture optical images of the driver's body, creating a visual copy that can be processed to extract body parameters. This approach replaces complex specialized measurement equipment with a common camera device, maintaining measurement capability while reducing system complexity and cost.
Solution Approach 2:
The patent introduces image processing algorithms as an intermediary between the camera and body parameter determination. These algorithms automatically extract measurement data from images, eliminating the need for complex specialized sensors while maintaining measurement precision through computational analysis.
3Reliability
If manual evaluation by specialist salesperson is performed, then product matching can be done, but the process becomes error-prone and costly
Solution Approach 1:
The patent replaces manual evaluation by sales personnel with automated computer-based evaluation systems. The system automatically compares measured body parameters with product specifications in a database, eliminating human error in the evaluation and matching process while improving consistency and reliability.
Solution Approach 2:
The system provides automated feedback by comparing measured body parameters against product requirements and generating ranked recommendations. This feedback loop ensures accurate matching by systematically evaluating how well each product matches the driver's measurements, reducing subjective errors.
4Adaptability or versatility
If detailed information about car interior products is stored, then better product matching is possible, but data management complexity increases
Solution Approach 1:
The patent creates a universal database structure that stores product specifications in a standardized format applicable to various car interior products. This universal system can handle multiple product types (seats, steering wheels, pedals, etc.) with a single database architecture, improving versatility without proportionally increasing management complexity.
Data Source
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AI summary
The present application relates to a method (30) for selecting at least one car interior product from a plurality of car interior products stored in a database for a car driver (4), comprising the following process steps: inputting (30-1) at least one input parameter, in particular car type, area of use of the car, desired firmness of the seat cushioning, and/or anatomical characteristics of the car driver (4) by means of an input device (9) of a mobile device (6), taking (30-2) a photograph (14) of at least one body part of the car driver (4) by means of a camera (7) of the mobile device (6), determining (30-3) at least one body parameter of the car driver (4) on the basis of the taken photograph (14) by means of a controller (8-1),Determine (30-4) the suitability of a plurality of automotive interior products from the multitude of automotive interior products stored in the database as a function of a specific body parameter and as a function of at least one input parameter by the controller (8-1); determine (30-5) a prioritized list of the plurality of automotive interior products by the controller (8-1), wherein in the prioritized list the priority of the respective automotive interior products increases with increasing suitability; and output (30-6) a selection of at least one automotive interior product for the driver (4) by the mobile device (6), wherein the selection includes the at least one automotive interior product from the prioritized list of the plurality of automotive interior products whose respective specific suitability has the smallest difference or no difference at all from a maximum suitability.