Voice Recognition Payment Terminal for Order Assembly
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Solution Overview
Problem
The existing methods for assembling orders in restaurants and similar settings are inefficient and unreliable, particularly in noisy environments, as they often require manual input and lack streamlined communication between team members and systems.
Innovation Solution
A method utilizing a fixed payment terminal with voice recognition technology and mobile terminals for order taking and assembly, allowing team members to use voice commands to manage orders, pick articles, and complete assembly tasks efficiently, with features like voice training, color coding for user identification, and simultaneous order management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual input methods are used for order taking and assembly, then device complexity is reduced, but productivity and reliability deteriorate due to inefficiency and errors
Solution Approach 1:
The patent replaces manual mechanical input methods (keyboard typing, physical button pressing) with voice recognition technology. Team members speak commands naturally and the system converts speech to digital instructions, eliminating the need for manual interaction with physical interfaces while significantly improving order assembly speed and accuracy.
Solution Approach 2:
The system enables team members to independently manage orders through voice commands without requiring training on complex manual interfaces. The voice-activated terminal allows users to pick articles, update order status, and communicate with kitchen staff purely through speech, making the system self-intuitive and reducing operational complexity.
2Ease of operation
If voice recognition technology is implemented, then ease of operation and productivity improve, but reliability worsens in noisy environments
Solution Approach 1:
The patent implements localized acoustic optimization by positioning microphones strategically near the terminal device and using directional audio capture. The system focuses on capturing voice signals from specific directions (where team members stand) while filtering out ambient noise from other areas of the restaurant, thereby maintaining high recognition accuracy despite noisy surroundings.
3Productivity
If multiple team members use the terminal simultaneously, then productivity improves through collaboration, but device complexity and coordination difficulty increase
Solution Approach 1:
The patent uses color-coded visual indicators displayed on the terminal screen to represent different team members and their current tasks. Each user is assigned a specific color that appears on the display, allowing simultaneous users to quickly identify whose turn it is to speak or which orders are being handled by whom, thereby simplifying multi-user coordination without adding complex authentication systems.
Data Source
AI summary
Method of order assembly, including the following steps: a plurality of orders each including a plurality of articles are displayed successively or simultaneously on an assembly screen; team member from among a plurality of team members says the order on which he will work ("prepare orange order"), reads article identifications on the assembly screen, will pick the physical article or articles corresponding to these identifications and verbally designates these articles by means of voice commands; the designation of orders and of articles indicated by the team member as well as various commands said by the team member during the method of assembly are recognized by means of a voice recognition system; the order concerned is updated on the assembly screen so as to indicate that the article or articles has or have been picked.