AR Vehicle Seat Fastening Validation With Real-Time Feedback
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Solution Overview
Problem
Vehicle operators face challenges in properly fastening vehicle seats due to the complexity and lack of standardization, leading to potential safety hazards from improperly secured occupants during accidents.
Innovation Solution
A computer-implemented method using augmented reality (AR) technology on mobile devices to validate the proper fastening of vehicle seats through image analysis and machine learning, providing real-time feedback and guidance on correct fastening procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fastening validation techniques are used, then the fastening process can be completed, but the complexity of multiple straps, harnesses, anchors, and buckles makes it difficult to ensure proper fastening
Solution Approach 1:
The patent employs image capture devices to photograph the fastening process and machine learning models to analyze these images, providing real-time feedback to users about whether the fastening is correct. This automated feedback loop resolves the contradiction by objectively validating the complex fastening process without requiring users to manually verify each component.
Solution Approach 2:
The patent replaces manual mechanical verification of fastening components with an automated optical and computational system. Image capture devices and machine learning algorithms substitute for human visual inspection and manual checking, simplifying the user's task despite the inherent complexity of the fastening system.
2Reliability
If multiple fastening components are used to ensure safety, then occupant protection is improved, but the fastening process becomes more complex and time-consuming
Solution Approach 1:
The patent provides step-by-step guidance through the fastening process, showing users the correct sequence and method for securing each component. By preparing and presenting instructions in advance, the system reduces the time required for fastening while ensuring all safety requirements are met.
Solution Approach 2:
The real-time image analysis and feedback mechanism allows users to quickly verify whether their fastening actions are correct, preventing rework and reducing the overall time required to achieve proper fastening of multiple components.
3Ease of operation
If standardized fastening procedures are implemented, then ease of operation is improved, but adaptability to different vehicle seat configurations is reduced
Solution Approach 1:
The patent uses machine learning models that can adapt to different vehicle seat configurations dynamically. The system processes images of various seat types and learns the appropriate fastening procedures for each configuration, providing customized guidance while maintaining a consistent user interface and interaction model.
Data Source
AI summary
Methods and systems for validating proper fastening of vehicle seats via an application executing on a mobile computing device. The method and systems may include: obtain input data via an input interface of the mobile computing device, the input data including one or more of vehicle data, vehicle seat data, or child data; obtain underlay layer data generated by an image sensor of the mobile computing device; generate overlay layer data based upon the input data and/or the underlay layer data, the overlay layer data including an indication associated with proper fastening of the vehicle seat; corelate the overlay layer data with the underlay layer data; the one or more processors to create an AR display based upon the correlation; and/or present the AR display via an AR interface of the mobile computing device.