Voice Input Money Transfer Using AI Intent Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for sending money via voice input lack efficiency and accuracy, requiring users to manually input account numbers and passwords, which can be cumbersome and prone to errors.
Innovation Solution
A device and method that utilize voice recognition to determine payment intentions, retrieve contact information from a stored list based on recipient names, and transmit this information to a bank server, along with the specified amount, to facilitate secure and accurate money transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual input methods (account numbers, passwords) are used for money transfer, then transaction security can be maintained, but user convenience and operation time increase significantly
Solution Approach 1:
The patent replaces manual mechanical input operations (typing account numbers, passwords) with voice-based acoustic input. The system captures spoken commands through a microphone, converts speech to text, and processes natural language instructions to execute money transfers, thereby eliminating the need for manual keyboard or touchscreen input while maintaining security through voice authentication.
Solution Approach 2:
The system enables users to initiate and complete money transfer operations independently through voice commands without requiring manual navigation through multiple interface screens or form fields. The voice-activated system automatically extracts transaction details, validates information, and executes the transfer based on spoken instructions, making the service self-serve the user's intent.
2Ease of operation
If voice recognition technology is implemented for money transfer, then user convenience improves, but system complexity and potential security risks increase
Solution Approach 1:
The patent introduces an intermediary processing layer between voice input and transaction execution. This includes speech-to-text conversion modules, natural language interpretation systems, and validation layers that mediate between the user's spoken command and the banking system's transaction processing, thereby managing complexity through structured intermediate processing steps.
Solution Approach 2:
The system segments the voice-activated money transfer process into distinct functional modules: voice capture, speech recognition, intent analysis, parameter extraction, validation, and transaction execution. Each module handles a specific aspect of the process, making the overall complex system manageable through functional decomposition and independent optimization of each component.
3Productivity
If voice input is used for recipient identification, then input speed increases, but accuracy may decrease due to voice recognition errors
Solution Approach 1:
The system implements feedback mechanisms where the recognized voice input is displayed or read back to the user for confirmation before executing the transaction. The system can also provide feedback by suggesting the most likely recipient based on voice recognition results and allowing users to correct misrecognized names, thereby improving accuracy while maintaining the speed benefits of voice input.
Solution Approach 2:
The system performs preliminary voice recognition and candidate matching before final transaction execution. It pre-processes the voice input to identify potential recipients, presents options to the user in advance, and allows confirmation or correction before the actual money transfer occurs, ensuring accuracy while maintaining efficient input speed.
Data Source
AI summary
An example device includes a memory configured to store at least one program; a microphone configured to receive a voice; and at least one processor configured to execute the at least one program to control the device to perform operations for sending money to a recipient. The operations include determining a payment intention of a user based on analyzing the received voice input; retrieving contact information from a stored contact list based on the name of the recipient; transmitting the name and the contact information of the recipient to a bank server together with an amount of money specified in the voice input; receiving remittance details from the bank server; and approving the remittance details. The device may analyze the received voice input by using an artificial intelligence (AI) algorithm.