GUI Calendar Date Selection via Week Start Day Analysis
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Solution Overview
Problem
Contemporary text association methods in codeless AI struggle to accurately select dates from GUI calendars due to dense text and repeated numbers, leading to inaccuracy in automated date selection tasks.
Innovation Solution
A method that detects a calendar in a GUI, recognizes the month name and date numbers, identifies the week start day, and uses this information to accurately select the position of a target date by generating a simulation grid and verifying the position through speculation, enabling precise date selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contemporary text association methods use image recognition and text recognition to locate GUI elements, then they can find controls and text in simple interfaces, but they fail to accurately select dates from calendar menus due to dense text and repeated numbers
Solution Approach 1:
The patent segments the calendar menu into distinct components: header section (month name, year), week day labels, and date grid cells. By dividing the calendar into these functional segments, the system can apply different recognition strategies to each segment, improving date selection accuracy despite the dense layout and repeated numbers
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges image recognition and text recognition. This intermediary analyzes the spatial relationships and structural patterns within the calendar, using the detected week start day and month name as contextual mediators to disambiguate repeated date numbers across different weeks
2Productivity
If automated methods use simple text recognition to identify date numbers, then they can quickly locate numbers in the calendar, but they cannot distinguish which numbers correspond to the target date due to repeating patterns
Solution Approach 1:
The patent implements a feedback mechanism where the system first identifies the week start day and month name, then uses this information to validate potential target date locations. The recognized structural elements provide feedback that helps confirm whether a detected number corresponds to the actual target date, improving reliability without significantly reducing speed
Solution Approach 2:
The patent performs preliminary actions by first detecting the calendar structure, identifying the month name, and determining the week start day before attempting to locate the target date. This preliminary structural analysis creates a contextual framework that enables accurate date identification while maintaining efficiency
3Loss of information
If the system recognizes all date numbers in the calendar, then it can identify multiple instances of the same number, but it cannot determine which instance corresponds to the target date without additional contextual information
Solution Approach 1:
The patent uses the detected week start day and month_name as intermediary contextual information. These intermediaries bridge the gap between recognizing multiple date numbers and identifying the correct target date instance, preserving essential contextual information without requiring complex analysis of the entire calendar layout
Solution Approach 2:
The patent extracts key contextual elements (month_name, week start day) from the calendar structure and uses these extracted elements to identify the target date. By taking out only the essential contextual information needed for date disambiguation, the system avoids the complexity of analyzing the complete calendar layout while preventing loss of critical date context
Data Source
AI summary
Systems and methods include determining a target date; detecting a calendar in a graphical user interface; recognizing a month name in the detected calendar; recognizing one or more date numbers in the detected calendar; identifying a week start day for the detected calendar; identifying a position in the detected calendar associated with the target date based on the identified week start day for the detected calendar and the recognized one or more date numbers in the detected calendar; and automatically selecting the position in the detected calendar associated with the target date.