Voice Activated Network Interface for Mobile Administration
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Solution Overview
Problem
Current network management tools are limited by their reliance on traditional command-line or graphical interfaces, making it difficult for network administrators to perform complex tasks outside of a desktop environment, especially for those who are mobile or have disabilities, as they lack the necessary input-output capabilities.
Innovation Solution
The implementation of a voice-activated network control (VANC) system that converts voice inputs into computer-readable commands, allowing administrators to manage networks using voice commands, which can be executed on network devices, enabling remote access and accommodating users with disabilities through a VANC client and server module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional command-line or graphical interfaces are used for network management, then network administrators can perform management tasks, but it becomes difficult to perform complex tasks outside of a desktop environment and limits accessibility for mobile users and users with disabilities
Solution Approach 1:
The patent replaces traditional mechanical input devices (keyboard, mouse) with voice-based acoustic input. The voice-activated network control system allows administrators to issue commands through speech recognition, eliminating the need for physical interaction with traditional interfaces and enabling operation from any location with voice input capability.
Solution Approach 2:
The system provides universal access to network management functions through a single voice-activated interface that can be used across multiple devices and locations. The VANC client application can run on various platforms (mobile devices, tablets, computers) and provides the same network management capabilities regardless of the device type, making the system adaptable to different environments and user needs.
2Adaptability or versatility
If voice-activated control is implemented, then accessibility for users with disabilities and remote operation is improved, but the system complexity increases with VANC client and server modules
Solution Approach 1:
The system is divided into distinct functional modules: a VANC client application that captures and processes voice input, a speech-to-text engine for conversion, a VANC server that receives and executes commands, and a feedback mechanism. This segmentation allows each component to be optimized independently and deployed flexibly across different systems, reducing the complexity burden despite the multi-component architecture.
Solution Approach 2:
The patent introduces intermediary components including a speech-to-text conversion layer and a command interpretation layer that mediate between voice input and network device execution. These intermediaries abstract the complexity from the user while providing structured processing, allowing the system to handle complex network management tasks without requiring the user to understand the underlying system complexity.
3Ease of operation
If voice commands are converted to computer-readable form, then natural language input is enabled, but the conversion and parsing process adds processing time
Solution Approach 1:
The system performs preliminary speech-to-text conversion and command parsing before command execution. By pre-processing voice input into structured text commands and validating them in advance, the system reduces the time required during actual command execution. The VANC client prepares commands for submission to the server, and the server pre-loads necessary device information, minimizing latency during critical operations.
Solution Approach 2:
The patent implements optimized processing pathways that skip unnecessary intermediate steps. The speech recognition system directly converts voice to actionable commands without excessive intermediate processing, and the command parsing efficiently identifies key parameters and executes relevant operations immediately, reducing overall processing time while maintaining accuracy.
Data Source
AI summary
In an example, there is disclosed a method of providing voice-activated network control (VANC), including: receiving a voice input; converting the voice input to a computer-usable form; parsing the voice input into key tokens; building a network policy macro from the key tokens; and causing commands based on the network policy macro to be executed on a target device. There is also disclosed one or more apparatuses for performing the method, and one or more computer-readable mediums having stored thereon executable instructions for realizing the method on a device.