Augmented Reality Vehicle Identification System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle identification systems are limited by their non-portable nature, requiring users to approach vehicles or perform extensive searches to gather information, especially when using mobile or handheld devices.
Innovation Solution
A method and system for object recognition on handheld devices that captures and analyzes images to identify vehicles, providing an augmented reality interface to retrieve vendor information and save search records, enabling portable and efficient vehicle identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional non-portable image recognition systems are used, then identification accuracy can be achieved, but portability and user convenience deteriorate
Solution Approach 1:
The system divides the identification task into multiple components: initial image capture by mobile device, preliminary processing, and subsequent detailed analysis. This allows the system to maintain portability while achieving accurate identification through distributed processing.
Solution Approach 2:
The system uses an intermediary database and communication protocol between the mobile device and the recognition system, enabling portable access to accurate identification results without requiring the entire system to be portable.
2Loss of information
If users approach vehicles to gather information, then detailed vehicle characteristics can be obtained, but time consumption and user burden increase
Solution Approach 1:
The system performs preliminary image capture and processing actions in advance, allowing users to obtain vehicle information immediately without needing to approach the vehicle or perform manual searches. The mobile device captures images and the system retrieves characteristics proactively.
Solution Approach 2:
The system replaces the mechanical action of physically approaching and inspecting vehicles with automated image capture and digital information retrieval, eliminating the need for user proximity while maintaining complete information acquisition.
3Loss of information
If extensive browsing of images and websites is performed, then vehicle characteristics can be found, but productivity and efficiency decrease
Solution Approach 1:
The system performs self-service by automatically capturing images, processing them, and retrieving vehicle characteristics without requiring users to manually browse multiple sources. The automated workflow completes the entire identification process efficiently.
Solution Approach 2:
The system merges multiple functions (image capture, image processing, database searching, and information display) into a single integrated workflow, eliminating the need for separate browsing actions and significantly improving productivity.
Data Source
AI summary
A method includes displaying and capturing image data containing an object and accessing a plurality of records related to objects, selecting a record related to the captured object, obtaining an identifier of a vendor of the object of the selected data record, combining the selected data record and the vendor identifier to form a search record, displaying, based on the search record, an augmented reality interface to receive a first interactive action for saving the search record, receiving the first interactive action, saving, in response to receiving the first interactive action, the search record into a searchable data structure, receiving a second interactive action, retrieving, in response to receiving the second interactive action, the search record from the searchable data structure, updating the vendor identifier based on the retrieved search record, and displaying information related to the search record.