Auditory Metadata Software Configuration via Image Recognition
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Solution Overview
Problem
Conventional techniques for configuring business software are complex and prone to human errors, requiring extensive expertise and time, and often restrict developers to specific design systems, making it difficult to update cross-referencing between different systems.
Innovation Solution
A novel technique that captures digital images or audio recordings of data schemas, business plans, and workflows, which are then analyzed to generate metadata for software configuration, allowing developers to configure software using various design systems without expertise in specific platforms or architectures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional configuration techniques are used, then developers can configure software, but the process is complex and time-consuming requiring extensive expertise
Solution Approach 1:
The patent replaces manual configuration operations with optical recognition technology. Users capture images of configuration information, and the system automatically extracts and processes the data through image recognition and natural language processing, substituting the mechanical process of manual navigation and input with automated digital processing.
Solution Approach 2:
The system enables self-service configuration by automatically extracting configuration parameters from captured images, generating corresponding code, and configuring software without requiring developer expertise. The automated extraction and code generation processes allow the system to configure itself based on captured information.
2Reliability
If developers manually configure software through multiple screens, then configuration can be completed, but human errors increase and multiple attempts are required
Solution Approach 1:
The patent replaces manual configuration operations with automated image recognition and code generation. The system captures configuration information visually, automatically extracts parameters, generates corresponding code, and applies configuration, eliminating manual intervention and reducing human errors throughout the process.
Solution Approach 2:
The system creates accurate digital copies of configuration information from captured images. The image recognition technology extracts precise configuration parameters and reproduces them as structured data and code, ensuring accuracy without manual transcription errors.
3Adaptability or versatility
If developers work with specific design systems, then software can be configured, but updating cross-referencing design systems requires endless hours
Solution Approach 1:
The patent creates a universal configuration system that can process images containing configuration information from multiple different design systems. The image recognition and natural language processing capabilities are design-system-agnostic, allowing the same system to extract and configure parameters across various design systems without requiring separate processing logic for each.
Solution Approach 2:
The system replaces manual cross-referencing and updating of design systems with automated image recognition and code generation. When design systems change, users simply capture updated configuration information in images, and the system automatically extracts new parameters and generates corresponding code, eliminating the need for manual cross-referencing updates.
Data Source
AI summary
In accordance with embodiments, there are provided mechanisms and methods for facilitating auditory media metadata-based software configuration using design systems according to one embodiment. In one embodiment and by way of example, a method includes identifying an auditory message of contents including a workflow of transactions to be performed by a software application associated with a software design system, where the auditory image represents a digital voice message captured by one or more of a microphone and a digital audio recorder. The method may further include translating the contents into metadata compatible with the software design system, generating a process flow corresponding to the workflow and based on the metadata, and configuring the software application based on the process flow such that one or more objects of the software application are augmented based on the process flow.