Unified Recognition Frame Interface for Image Analysis
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Solution Overview
Problem
Current image recognition software lacks a generic, easy-to-use graphical user interface that can efficiently manage complexity by presenting multi-level application elements simultaneously, leading to difficulties in adoption and deployment by non-expert users.
Innovation Solution
A Recognition Frame provides a generic human-computer interface that presents multi-level application elements, including image display, data display, and processing options, within a single interface, allowing for context-dependent processing and maintaining application state without requiring database knowledge, supporting high volume applications and flexible configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate software applications are used for different image recognition tasks, then functional capability is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent combines multiple separate image recognition software applications into a single integrated application. The system provides a unified graphical user interface that presents multi-level application elements (images, masks, measurements, statistics) simultaneously in a single window, eliminating the need to switch between multiple separate software programs while maintaining all necessary functional capabilities.
Solution Approach 2:
The patent creates a universal image recognition platform that performs multiple functions within a single application. The system handles image acquisition, preprocessing, segmentation, measurement, and statistical analysis all through one interface, making the software adaptable to various image recognition tasks without requiring separate specialized applications.
2Adaptability or versatility
If multiple separate software applications are used for different image recognition tasks, then functional capability is improved, but ease of operation deteriorates
Solution Approach 1:
The patent combines multiple separate image recognition software applications into a single integrated application. The system provides a unified graphical user interface that presents multi-level application elements (images, masks, measurements, statistics) simultaneously in a single window, eliminating the need to switch between multiple separate software programs while maintaining all necessary functional capabilities.
3Ease of operation
If application specific turnkey solutions are purchased, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent creates a universal image recognition platform that performs multiple functions within a single application. The system handles image acquisition, preprocessing, segmentation, measurement, and statistical analysis all through one interface, making the software adaptable to various image recognition tasks without requiring separate specialized applications.
4Ease of operation
If a single interface presents all application elements simultaneously, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent segments the graphical user interface into distinct functional regions that present different application elements simultaneously. The interface is divided into areas for displaying images, masks, measurements, and statistics, allowing all elements to be visible at once while maintaining organizational structure through spatial segmentation rather than requiring users to navigate multiple windows or menus.
Data Source
AI summary
A Recognition Frame presents multi-level application elements to the user simultaneously through a computer graphical user interface. The interface consists of an image display panel for displaying image channels; a data display panel for displaying object measurements and summary statistics; a configuration display panel for displaying recipe content; a master tab for selecting the panels. It also consists of a processing toolbar for context dependent processing tool display. The Recognition Frame further comprises a second side frame for data object display and charting. The second side frame has a tabular arrangement consisting of properties tab, controls tab, and charts tab. The Recognition Frame links application elements through a complex data model wherein interface display is automatically updated when one element is changed.