Image Processing Apparatus for Automatic Transfer Destination Extraction
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Solution Overview
Problem
Existing image processing systems require users to repeatedly read and input transfer destination information, such as financial institution names and account numbers, which is time-consuming and labor-intensive.
Innovation Solution
An image processing apparatus that communicates with a server to extract and recognize numbers and position information from image data of a bill, allowing for automatic acquisition and transmission of transfer destination information, thereby reducing user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user manually inputs transfer destination information each time, then the system can accurately capture the transfer details, but the user experience deteriorates due to time consumption and labor intensity
Solution Approach 1:
The system performs preliminary action by automatically extracting and storing transfer destination information from bill images in advance. The extraction unit captures the number and position information from the bill, and the storage unit preserves this data for later use. This preliminary processing eliminates the need for manual input during actual transfer operations, significantly improving user experience and reducing time consumption.
Solution Approach 2:
The system implements self-service by enabling automatic acquisition of transfer destination information through optical character recognition. The reading unit captures bill images, the extraction unit automatically identifies the number and position information, and the acquisition unit retrieves the necessary transfer destination details without requiring user intervention. This self-service mechanism directly addresses the technical contradiction by eliminating manual input while maintaining accurate transfer destination capture.
2Productivity
If the system automatically extracts number and position information from bill images, then the transfer process is streamlined and time is saved, but the system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the image processing task into distinct functional modules: a reading unit for capturing bill images, an extraction unit for identifying numbers and positions, a storage unit for preserving extracted data, and an acquisition unit for retrieving transfer destination information. This modular segmentation reduces overall system complexity by making each component independent and easier to develop, maintain, and debug, while still achieving high productivity through automated information extraction.
3Reliability
If the user manually designates transfer destination information, then the system can verify accuracy, but the labor required increases significantly
Solution Approach 1:
The system implements feedback by having the extraction unit automatically identify and verify transfer destination information from the bill image. The storage unit preserves the extracted number and position information, and the acquisition unit retrieves this pre-verified data. This feedback mechanism ensures accuracy by cross-checking the extracted information against the original bill image, eliminating the need for manual verification while significantly reducing labor requirements.
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
This solution significantly reduces the time and labor required for users to set transfer destination information, streamlining the transfer process and minimizing errors by automating the extraction and transmission of necessary details.
Implementation Method 1
a reading unit configured to read an original on which a transfer destination is written and generate image data of the original
Implementation Method 2
an extraction unit configured to extract a number having a predetermined number of digits by performing optical character recognition on the image data
Data Source
AI summary
An image processing apparatus capable of reducing time and labor of a user required to set information on a transfer destination. The image processing apparatus communicates with a server which provides a transfer service. An original on which a transfer destination is written is read to generate image data of the original. Optical character recognition is performed on the image data to extract a number having a predetermined number of digits. The number and position information of the number in the image data are stored. Information on the transfer destination, included in the image data, is acquired based on the number and the position information of the number. Control is performed to transmit a transfer instruction notification including the information on the transfer destination to the server.