Check Information Extraction via Video Frame Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods struggle to efficiently determine and process check information from physical checks in a digital format for online banking and financial transactions, as they require manual input and lack accuracy.
Innovation Solution
A system and method utilizing video recording and optical character recognition (OCR) to analyze video frames of checks, generating scores for frame quality, and selecting the highest-scoring frame to extract check information, which is then transmitted for settlement and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input methods are used to enter check information, then the process can be completed, but the accuracy and efficiency are poor
Solution Approach 1:
The patent replaces manual mechanical data entry with an automated optical character recognition (OCR) system that captures check images and automatically extracts information. This substitution eliminates human error in data entry while significantly increasing processing speed, thereby simultaneously improving both accuracy and efficiency.
Solution Approach 2:
The system creates digital copies of physical checks through image capture and uses these copies for information extraction. By working with replicated digital versions rather than the original physical documents, the system can process multiple checks simultaneously without wear or damage to originals, enhancing both accuracy through consistent digital representation and productivity through parallel processing.
2Measurement precision
If video recording and OCR analysis are used to extract check information, then accuracy improves, but system complexity increases
Solution Approach 1:
The system employs a multi-functional integrated platform that combines video recording, image processing, OCR analysis, and data extraction capabilities within a single system. This universal approach allows one system to handle the entire workflow from physical check capture to digital information extraction, improving accuracy while avoiding the complexity of multiple separate systems through unified architecture.
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges the physical check and the digital information system. This intermediary includes image capture devices and OCR software that translate physical document information into machine-readable format, thereby improving accuracy of data transfer while managing system complexity through a standardized intermediate representation layer.
3Reliability
If multiple video frames are analyzed to determine check information, then reliability improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing multiple video frames of the check in quick succession before final processing. These pre-captured frames serve as redundant data sources that can be analyzed to verify information consistency, thereby improving reliability. The preliminary capture phase is separated from the analysis phase, allowing efficient batch processing that minimizes overall processing time while ensuring accurate information extraction through multiple frame verification.
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 accurate and reliable determination of check information, enabling efficient digital processing and settlement of physical checks, enhancing the transition to digital banking systems.
Implementation Method 1
generating respective optical character recognition (OCR) data associated with the plurality of video frames
Data Source
AI summary
Systems and methods are provided for determining check information. According to one or more embodiments, a method may include accessing, by a computer including one or more processors, a video recording of a check. The method may also include determining, based at least in part on the video recording, a plurality of video frames associated with the check. Furthermore, the method may include generating respective optical character recognition (OCR) data associated with the plurality of video frames. Additionally, the method may include determining, based at least in part on the respective OCR data, respective scores associated with the plurality of video frames.