Instant OCR During Document Upload for Mid-Stream Control
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Solution Overview
Problem
Existing document upload processes prevent users from making mid-stream adjustments, such as canceling or modifying the process, once it has been initiated, due to automated routines that continue until completion without user input.
Innovation Solution
Implementing instant optical character recognition (OCR) during the document upload process to automatically detect content and provide mid-stream adjustment options, allowing users to cancel or modify the upload based on risk assessments and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated routines are used for document upload processing, then processing efficiency is improved, but user control and ability to make mid-stream adjustments deteriorates
Solution Approach 1:
The system performs preliminary OCR scanning and risk assessment actions during the upload process before final completion. This allows the automated system to prepare processing steps in advance while still allowing user intervention to cancel or modify the process mid-stream, thus maintaining both efficiency and user control
Solution Approach 2:
The upload process is designed to be dynamic rather than static, allowing the system to transition between automated processing and user-controlled states. The process can be paused, cancelled, or modified at various stages, making the automated routine flexible and adaptable to user needs while maintaining processing efficiency
2Loss of information
If instant OCR scanning is performed during upload, then user information and control are improved, but processing time and system complexity increases
Solution Approach 1:
The system performs partial OCR scanning during the upload process rather than waiting for complete document receipt. This partial action provides users with information about document contents early in the process, allowing informed decisions about cancellation or modification without requiring complete processing of all documents first
Solution Approach 2:
The instant OCR scanner acts as an intermediary component that bridges document upload and risk assessment. It provides intermediate information about document contents during the upload process, enabling users to make informed decisions without delaying the overall processing workflow
3Reliability
If risk assessment is performed during upload process, then fraud prevention is improved, but system complexity and processing overhead increases
Solution Approach 1:
The risk assessment function is merged with the existing document upload process rather than being a separate post-processing step. The OCR scanning and risk assessment operations are combined into a single integrated workflow, allowing fraud prevention to occur during upload without requiring separate complex systems
Solution Approach 2:
Risk assessment is performed preliminarily during the upload process using instant OCR scanning of document contents. This preliminary risk assessment identifies potential fraud indicators early, allowing the system to flag suspicious documents before complete processing, thus improving fraud prevention without requiring complex post-upload analysis systems
Data Source
AI summary
Systems for performing instant optical character recognition (OCR) of documents to be uploaded to a server process for allowing mid-stream adjustments during the document upload process are disclosed. A system may include a mobile device with a document upload application and a backend system to which a document is to be uploaded. The backend system may initiate the OCR process automatically upon receiving images of documents to be uploaded and provide options to the document upload application for managing the upload process based on the results of the OCR process.