OCR Data Update Workflow for Handwritten Document Revisions
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Solution Overview
Problem
Existing systems lack efficient methods to update and manage electronic data based on modifications made on printed documents, such as handwritten notes on paper, within a cloud service environment.
Innovation Solution
An information processing system that includes an OCR processing unit to detect modifications, a data editing unit to update electronic data based on detected changes, and a data history management unit to associate and manage data usage history, enabling seamless integration of handwritten data into electronic documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If handwritten modifications on printed documents are manually transcribed into electronic data, then data update accuracy is improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent replaces manual transcription (mechanical human operation) with OCR (optical character recognition) technology to automatically extract handwritten modifications from printed documents. The imaging device captures the document, OCR processing converts the visual text into machine-readable data, and the system automatically updates the electronic data accordingly, eliminating manual intervention while maintaining high accuracy
Solution Approach 2:
The patent introduces an intermediary processing system consisting of the imaging device, OCR processing unit, and data comparison module. This intermediary automatically bridges the gap between handwritten modifications and electronic data updates by capturing images, recognizing text, comparing with original electronic data, and applying updates without direct human involvement in the transcription process
2Quantity of substance
If all captured data from edge devices is processed and stored, then data completeness is improved, but system resource consumption and processing complexity increase
Solution Approach 1:
The patent performs preliminary actions by storing metadata information (such as document type, capture time, device ID) alongside the captured data before full processing. This preliminary organization allows the system to quickly identify and prioritize which data requires full processing, enabling selective handling of different data types and reducing overall processing complexity while maintaining completeness
Solution Approach 2:
The patent segments the data processing workflow into distinct modules: data reception module, OCR processing module, comparison module, and update module. Each module handles specific tasks independently, allowing parallel processing of multiple documents and reducing the complexity burden on any single processing component while ensuring complete data handling
3Productivity
If automatic update rules are applied to all data, then processing efficiency is improved, but risk of incorrect updates and data integrity loss increases
Solution Approach 1:
The patent implements feedback mechanisms where the system compares OCR-recognized text with the original electronic data, identifies modifications, and presents update suggestions to the user for confirmation. This feedback loop allows automatic processing to maintain efficiency while giving users control to review and approve updates, preventing incorrect modifications and ensuring data integrity
Solution Approach 2:
The patent applies automatic update rules selectively rather than universally - it automatically processes clearly identifiable modifications while requiring user confirmation for ambiguous or significant changes. This partial automation approach maintains processing efficiency for routine updates while preserving data integrity through user oversight for critical decisions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates the reflection of handwritten changes on paper into original electronic data, ensuring data integrity and user control over updates, while maintaining data security and history.
Implementation Method 1
executes OCR processing on data input from the edge device
Data Source
AI summary
An information processing apparatus, an information processing system, and an information processing method. The information processing apparatus communicates with an edge device communicably connected to the information processing apparatus, executes OCR processing on data input from the edge device, controls the edge device, authenticates a user, receives selection of data to be output to the edge device, stores the data output to the edge device, receives setting of data update rule, detects a modification from the data obtained by executing OCR processing according to the data update rule, stores a data history that indicates usage history of data input and output, determines original data input from the edge device among the stored data as target electronic data based on the data history, and updates the target electronic data based on the modification.