Form Management Server Automating Element Recognition
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Solution Overview
Problem
Manual completion of similar forms is time-consuming and inefficient, as it requires multiple steps and recognition of various graphical input elements, which existing technologies fail to automate effectively.
Innovation Solution
A form management server that identifies form elements and contextual information from electronic images, allowing for automatic processing and matching with template forms to determine actions for filling out forms, using AI analysis and digital models to enhance recognition and processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual completion of forms is performed, then data accuracy can be maintained through human review, but time consumption increases significantly
Solution Approach 1:
The patent replaces manual mechanical form completion with an automated computer vision system that uses optical character recognition (OCR) and image processing algorithms to extract form data automatically. The system captures form images, processes them through digital models to identify form elements and their values, and populates digital forms without human intervention, thereby eliminating time consumption while maintaining accuracy through programmable extraction rules.
Solution Approach 2:
The system enables forms to be completed automatically by the computer vision system itself without requiring human operators. The automated pipeline independently performs image capture, processing, data extraction, and form population, making the form completion process self-service and eliminating the need for manual review while preserving data accuracy through systematic validation.
2Productivity
If automated form processing is implemented, then time efficiency improves, but system complexity increases
Solution Approach 1:
The patent divides the form processing system into distinct modular components: image capture module, image processing module with OCR, data extraction module using digital models, and form population module. Each module performs a specific function and can be independently configured or replaced, reducing overall system complexity while maintaining high productivity through specialized processing at each stage.
Solution Approach 2:
The system employs universal digital models and processing algorithms that can handle multiple types of forms and form elements through a single integrated platform. The same image processing and OCR infrastructure serves various form formats and styles, reducing the need for separate specialized systems and thereby managing complexity while achieving broad productivity gains.
3Ease of manufacture
If traditional form processing methods are used, then implementation is simple, but automation capability is insufficient
Solution Approach 1:
The patent replaces traditional manual form processing with automated computer vision technology, achieving high extent of automation through optical character recognition and image processing. The system automatically captures form images, processes them through digital models to extract data, and populates forms without human intervention, thereby significantly improving automation capability while maintaining implementation feasibility through standardized processing pipelines.
Data Source
AI summary
A form management server computer (“server”) and processing methods are disclosed. In some embodiments, the server is programmed to cause presentation of a result of identifying form elements from an image of a form and allow correction of the result or specification of actions to be performed on the form elements. The server is programmed to then receive a new image of a new form, identify form elements in the new form from the new image, and determine actions to be performed on the form elements in the new form based on the specification of actions for previously processed forms.