Remote Deposit Image Editing and Quality Assessment
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Solution Overview
Problem
Remote deposit systems face issues with image quality variations, leading to errors in information extraction and validation, resulting in rejected deposits and user dissatisfaction due to poor image capture or processing quality.
Innovation Solution
A method and system for troubleshooting and editing deposit document images, including image editing controls to correct defects, perform OCR, and process edited images, allowing for improved image handling and increased successful deposit sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If remote deposit systems rely on digital image analysis for processing, then processing speed and convenience are improved, but image quality variations cause errors in information extraction and validation
Solution Approach 1:
The system performs preliminary image quality assessment and validation checks before the main processing stage. By pre-identifying images that meet quality thresholds, the system ensures reliable information extraction while maintaining efficient processing of qualifying images.
Solution Approach 2:
The patent introduces an intermediary image quality assessment module that acts as a mediator between image capture and main processing. This intermediary layer evaluates image characteristics and either approves images for processing or requests recapture, thereby ensuring reliability without bottlenecking the overall processing speed.
2Ease of operation
If users capture images with various devices, then ease of operation is improved, but image quality and resolution vary dramatically
Solution Approach 1:
The system dynamically adjusts processing parameters based on detected image quality characteristics. By modifying parameters such as contrast enhancement, noise filtering, and resolution scaling according to the specific image properties, the system maintains consistent processing results across images captured with different devices while preserving user convenience.
3Quantity of substance
If bi-tonal conversion is performed to reduce file size, then storage efficiency is improved, but information loss occurs in low contrast or low-resolution images
Solution Approach 1:
The system performs preliminary assessment of image contrast and resolution before applying bi-tonal conversion. By pre-identifying images that would lose critical information during conversion, the system can either maintain them in grayscale format or request recapture, thereby preventing information loss while still achieving file size reduction for suitable images.
4Reliability
If remote deposit systems automatically reject deposits with undecipherable images, then processing reliability is improved, but user dissatisfaction increases due to returned deposits
Solution Approach 1:
The system implements a feedback mechanism that provides users with specific reasons for rejection and guidance on how to recapture acceptable images. By delivering actionable feedback rather than simple rejections, the system maintains validation reliability while improving user satisfaction through constructive communication that helps users successfully complete their deposits.
Data Source
AI summary
Improved systems and methods for detecting and correcting image errors and risks in remote deposit systems during an in-line or in-process troubleshooting session are disclosed. Various embodiments include systems for displaying remote deposit session data to a support technician with links for invoking an image display or image editor user interface during a troubleshooting session. The links can be included in one or more individual remote deposit session events, records, or tasks, such as check image uploads and bi-tonalization events. The image editor can be used to manually or automatically correct any detected errors or flaws in uploaded or processed deposit document images. The corrected check images can be then be stored and used to complete or reprocess a remote deposit.