Image Recognition Link Determination for Mobile Content Acquisition
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Solution Overview
Problem
Current methods for locating specific items, content, or applications are inefficient, error-prone, and require multiple steps, often involving typing and selecting from lists, which can be cumbersome and prone to errors, especially in finding media or app store content.
Innovation Solution
A system utilizing image recognition on mobile devices to identify tags associated with images, linking them to relevant content or applications, allowing for single-step acquisition or retrieval of desired items, applications, or information, by integrating image recognition capabilities into standard camera applications and using remote servers for processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If barcode/QR code scanning is used to locate specific items, then item identification accuracy is improved, but device complexity and user burden increase due to requiring specialized scanners and downloaded applications
Solution Approach 1:
The patent makes the camera application perform multiple functions: standard photography and image capture, plus automatic tag recognition and content location. By integrating tag recognition capabilities into the existing camera app, the system eliminates the need for separate barcode scanner devices and specialized applications, while maintaining accurate item identification
Solution Approach 2:
The system enables automatic tag recognition and content location without requiring user intervention to download applications or configure settings. The camera application automatically processes captured images to identify tags and retrieve associated content, making the service self-activating and eliminating user burden
2Ease of operation
If traditional search methods are used to locate content, then ease of operation is maintained through simple typing, but productivity and time efficiency deteriorate due to multiple steps and manual selection from lists
Solution Approach 1:
The system performs preliminary actions by automatically recognizing tags in captured images and pre-retrieving associated content links before user request. This eliminates the need for users to manually type searches and browse through result lists, as the system has already prepared the relevant content for immediate access
Solution Approach 2:
The patent replaces manual mechanical search operations (typing, scrolling, selecting from lists) with automatic image recognition and computational processing. The camera captures the image, the system automatically identifies tags, and content is retrieved without physical user interaction beyond taking the photo, substituting mechanical user actions with automated digital processes
Data Source
AI summary
A system for link acquisition and usage using image recognition comprises an interface, a processor, and a memory. The interface is for receiving an image. The processor is configured to: determine one or more tags for the image; determine one or more links associated with the one or more tags; and cause an action associated with a selected link of the one or more links. The memory is coupled to the processor and is configured to provide the processor with instructions.