Camera Bill Capture for Fast Payee Identification
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Solution Overview
Problem
Existing systems struggle to efficiently add new payees to customer accounts in financial institutions due to the lack of a standardized format for bills, making it difficult for customers to know where to focus their camera when capturing images for payee identification.
Innovation Solution
A system that utilizes optical character recognition to extract and identify blocks of text from variable bill formats, comparing them against a payee database to automatically associate the payee with the customer's account, with manual entry as a fallback for unmatched cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual payee information input is required, then payee association accuracy is improved, but customer operation time and complexity increase
Solution Approach 1:
The system performs automatic payee identification by capturing an image of the bill and using optical character recognition to extract payee information, eliminating the need for manual input. The system self-identifies the payee by comparing extracted data against a payee database, thereby reducing both time and operational steps while maintaining accuracy through automated verification.
Solution Approach 2:
The manual mechanical process of typing payee information is replaced with an optical recognition system. The camera captures the bill image, and optical character recognition technology automatically extracts and identifies the payee, substituting manual data entry with automated image processing and pattern recognition.
2Productivity
If camera is used to capture bill image, then data entry time is reduced, but difficulty in identifying where to focus increases
Solution Approach 1:
The system automatically processes the entire bill image without requiring the customer to manually locate or crop specific sections. The optical character recognition system scans the complete image and automatically identifies and extracts payee information, making the process as simple as capturing a full photo of the bill.
Solution Approach 2:
The system handles various bill formats and layouts universally by processing the entire captured image. Rather than requiring different approaches for different bill types, the system can identify payee information from any standard bill format through comprehensive image analysis and pattern recognition.
3Measurement precision
If comprehensive bill information is captured, then payee identification accuracy improves, but image processing complexity increases
Solution Approach 1:
The system extracts only the relevant payee information from the comprehensive bill image using optical character recognition. Rather than analyzing every element of the bill, the system selectively identifies and extracts the specific data fields needed for payee identification, simplifying processing while maintaining accuracy.
Solution Approach 2:
The bill image is automatically segmented into relevant information blocks through optical character recognition. The system divides the complex image into structured data elements such as payee name, address, and account information, making processing more manageable while ensuring complete payee identification.
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
Enables rapid and accurate addition of payees to customer accounts, typically within seconds, by leveraging optical character recognition and database matching, reducing the need for manual input and enhancing the efficiency of bill payment processes.
Implementation Method 1
obtain image data regarding the image of the bill using an imaging device
Data Source
AI summary
A provider computing system associated with a provider institution includes a processing circuit configured to receive image data from a user computing deviceassociated with a user, the image data pertaining to a bill of a user issued by a payee, obtain a token from the user computing device, transform the image data into computer-readable data, extract a data structure from the computer-readable data based on identified data from the bill of the user, identify the payee from the payee database based on determining a match level meets a threshold, and add the payee to an account of the user to enable authorization of a payment to the payee via the user computing device.