Mobile Device Object Recognition for Vehicle Manual Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for providing vehicle owner's manual information are not user-friendly, particularly for unfamiliar users, as they rely on physical manuals or require complex instructions, lacking intuitive methods for identifying vehicle components and accessing relevant information.
Innovation Solution
A computer program product for a camera-enabled mobile device that receives digital images of vehicle components, identifies them using an object recognition engine, and displays associated owner's manual information, with the option to enhance recognition through speech input and utilize augmented reality, while storing images for future reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical owner's manual is used, then information is comprehensive, but accessibility is poor and user-friendly
Solution Approach 1:
The patent creates a digital copy of the physical owner's manual in the form of a mobile application. This digital copy contains the same comprehensive information but makes it easily accessible through the camera interface, allowing users to view information on their smartphone screen rather than physically searching through a manual.
Solution Approach 2:
The patent replaces the mechanical system of physical manual handling with a digital system. Instead of physically flipping pages or searching through text, users point a camera at vehicle components and receive information through image recognition and display on a mobile device, substituting mechanical search with optical and digital processing.
2Ease of operation
If camera-based object recognition is used, then user-friendliness is improved, but recognition accuracy may be insufficient
Solution Approach 1:
The patent incorporates feedback mechanisms where the system displays captured images of vehicle components and allows users to confirm or correct the identification. The system learns from user interactions and can refine its recognition accuracy over time, providing feedback loops that improve measurement precision while maintaining ease of use.
Solution Approach 2:
The patent performs preliminary actions by capturing and storing multiple images of vehicle components from different angles and conditions. This pre-processing creates a database of reference images that improves future recognition accuracy, allowing the system to maintain high user-friendliness while achieving better measurement precision through accumulated learning data.
3Adaptability or versatility
If manual information provision is used, then information is static, but adaptability to different vehicle models and components is limited
Solution Approach 1:
The patent creates a universal system that can identify and provide information about various vehicle components across different vehicle models. The camera-based recognition system is designed to work with multiple types of components (buttons, switches, controls) without requiring model-specific programming, making the system adaptable while managing complexity through standardized recognition protocols.
Solution Approach 2:
The patent introduces dynamic adaptability where the system can learn and adapt to different vehicle models and component variations through ongoing image recognition and user feedback. Rather than being static, the system evolves its recognition capabilities based on real-world usage, allowing it to handle diverse vehicle components while maintaining manageable complexity through iterative improvement.
Data Source
AI summary
There is provided a communication system that includes a vehicle and a mobile device, and a method uses that system to provide vehicle owner's manual information. The method includes the steps of: receiving a digital image of a portion of a vehicle; identifying an object of the vehicle in the digital image; associating the object with at least one reference object image stored in an object library comprising a plurality of reference object images; displaying owner's manual information based on the association; and storing at least a portion of the digital image in the object library as a new reference object image for future identifications.