Adaptive Image Processing for Mobile Payment Interface Population
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Solution Overview
Problem
Current payment systems on mobile devices face challenges in efficiently populating digital interfaces due to limited input and display capabilities, making it difficult for users to accurately interact with and initiate payment transactions or schedule recurring payments.
Innovation Solution
A computer-implemented system that uses adaptive computer vision and machine learning algorithms to extract parameter values from captured image data, automatically populating digital interfaces on mobile devices without user intervention, enabling efficient interaction with payment interfaces on devices with limited input and display functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual input methods are used on mobile devices, then device complexity remains low, but productivity and accuracy in populating payment interfaces deteriorate due to limited input capabilities
Solution Approach 1:
The patent introduces an intermediary image processing system that acts as a mediator between the user and the payment interface. This system captures images of physical documents or screens, processes them through computer vision algorithms, and automatically extracts data to populate digital payment interfaces, thereby enhancing productivity without requiring direct user input on complex fields
Solution Approach 2:
The patent replaces manual mechanical input methods (typing, clicking) with an automated optical recognition system. By substituting mechanical input with image-based data extraction, the system achieves faster and more accurate interface population while the complexity is encapsulated in the background processing system rather than the user interface
2Measurement precision
If manual data entry is required for payment interfaces, then device complexity remains manageable, but measurement precision and accuracy of data input deteriorate
Solution Approach 1:
The patent replaces manual data entry with automated optical character recognition and computer vision algorithms that extract parameter values directly from images. This substitution significantly improves measurement precision and accuracy by eliminating human error in data transcription, while the complexity of the extraction system operates transparently in the background
Solution Approach 2:
The system performs self-service by automatically extracting and populating interface parameters without requiring user intervention for data input. The image processing system independently identifies, extracts, and maps data from visual inputs to the required interface fields, achieving high accuracy while keeping the user interface simple
3Adaptability or versatility
If comprehensive interface fields are provided on mobile devices, then adaptability and versatility improve, but ease of operation deteriorates due to limited display and input capabilities
Solution Approach 1:
The patent applies preliminary action by pre-processing and extracting data from images before the user needs to interact with the payment interface. The system proactively captures and processes relevant information from physical documents or screens, automatically filling in interface fields so that users don't need to manually input data for each field, thereby maintaining completeness while simplifying operation
Solution Approach 2:
The image processing system serves as an intermediary that bridges the gap between comprehensive interface requirements and limited user input capabilities. It automatically transfers data from visual sources to the interface fields, enabling the interface to remain comprehensive and adaptable while the user only needs to provide minimal input or simply capture an image
Data Source
AI summary
The disclosed embodiments include computer-implemented systems, apparatuses, and processes that, among other things, automatically generate and populate digital interfaces based on adaptively processed image data captured by a network-connected device operating within a computing environment. For example, an apparatus may receive, from a device, a first signal that includes image data identifying a document associated with a data exchange capable of initiation by the device. The apparatus may detect, within a first portion of the image data, a presence of first textual content associated with a first parameter of the data exchange, extract a first value characterizing the first parameter from the first textual content, and generate and transmit a second signal that includes the first value to the device. The second signal includes information that instructs the device to display the first value within a portion of an interface corresponding to the first parameter.