Remote Check Deposit OCR With Delayed Check Image Submission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional remote check deposit systems face challenges in capturing clear and precise images of checks, particularly on resource-constrained devices, leading to user frustration and inefficiencies in optical character recognition (OCR) processes.
Innovation Solution
A method and system for remote check deposit using a mobile device that performs optical character recognition (OCR) locally, verifies image quality, and provides user-controlled image capture, followed by server validation, ensuring privacy and efficiency by minimizing network usage and offloading processing to the mobile device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If remote check deposit systems use traditional OCR processes on resource-constrained mobile devices, then check data extraction can be performed, but processing accuracy and speed deteriorate due to device limitations
Solution Approach 1:
The patent divides the OCR processing into two segments: a lightweight initial OCR process runs on the mobile device to extract check data, and a more comprehensive validation OCR process runs on the server to verify and correct the extracted data. This segmentation allows the mobile device to perform basic extraction without requiring full processing capability, while the server handles the computationally intensive validation tasks.
Solution Approach 2:
The patent introduces an intermediary validation process where the server acts as a mediator between the mobile device's initial OCR extraction and the final check data confirmation. The server validates the extracted data against the original check image, correcting errors and confirming accuracy, thus bridging the gap between limited mobile processing and high-accuracy requirements.
2Reliability
If users manually review captured check images before submission, then image quality can be verified, but processing time and user effort increase
Solution Approach 1:
The system implements automatic image quality verification through multiple validation mechanisms: the server automatically checks image clarity, completeness, and readability; OCR processes automatically validate extracted data against the image; and the system provides automated feedback to users about image quality issues, eliminating the need for manual user review while maintaining high reliability.
Solution Approach 2:
The patent implements a feedback loop where the system automatically analyzes captured check images, provides real-time feedback to users about image quality (such as blur, lighting, or completeness issues), and guides users to recapture images if needed. This automated feedback mechanism replaces manual review while reducing processing time through immediate validation and correction guidance.
3Reliability
If check images are transmitted to the server for processing, then validation can be performed, but network consumption and processing delays increase
Solution Approach 1:
The patent extracts and processes only the essential check data locally on the mobile device using lightweight OCR, then transmits only this extracted data and essential image information to the server for validation. This extraction approach minimizes network transmission requirements while maintaining validation accuracy, as the server validates against the original image but only needs to verify the extracted data rather than process the entire image.
Solution Approach 2:
The system performs preliminary OCR extraction and basic validation on the mobile device before transmitting data to the server. This preliminary action reduces the amount of data that needs to be transmitted and processed remotely, as the initial data extraction and filtering occur locally, minimizing network consumption while ensuring the server receives pre-processed, relevant information for final validation.
4Ease of operation
If traditional remote check deposit processes are used, then users can deposit checks remotely, but user frustration increases due to image capture difficulties
Solution Approach 1:
The patent implements real-time feedback during the image capture process, where the system analyzes the captured check image immediately and provides users with specific guidance on quality issues (such as blur, improper lighting, or incomplete capture). This feedback loop helps users understand what needs to be corrected and how to recapture the image properly, reducing frustration by making the quality requirements clear and actionable.
Solution Approach 2:
The system performs preliminary validation of captured images before allowing users to proceed with the deposit process. If image quality is insufficient, the system preemptively blocks submission and provides specific guidance on what needs to be improved, preventing users from wasting time on poor-quality submissions. This preliminary anti-action against poor-quality captures reduces overall user frustration by catching issues early and providing clear correction guidance.
Data Source
AI summary
Methods and systems for remote check deposit are disclosed. A check for deposit is processed without the need for a server to receive any image of the check initially. Instead, optical character recognition (OCR) data is received at the server from a mobile device. Verification processing for the check is then performed using the OCR data. If the verification process is successful, a confirmation notification is sent to the mobile device. Subsequently, after sending the confirmation notification, a check image is received, from which the OCR data was determined. The check is, in turn, processed for deposit using the received check image.