AR Network Real-Time Code Generation from Displayed Steps
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Solution Overview
Problem
Existing methods for generating and executing code to process documents are time-consuming, as they require building code and then reviewing it, which can take significant time and effort.
Innovation Solution
An augmented reality (AR) device network that captures images of data displayed on a screen, recognizes text associated with computer processing steps, and generates executable programming code in real-time, allowing for immediate execution and visualization of results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If code is built and reviewed manually, then code quality can be ensured, but significant time and effort are required
Solution Approach 1:
The system enables self-service code generation by automatically converting displayed processing steps into executable code without requiring manual programming. The AR device captures images of the displayed steps, converts them to code automatically, and presents the generated code for approval, eliminating the need for manual code writing while maintaining quality through automated conversion and review processes.
Solution Approach 2:
The patent replaces the mechanical process of manual code writing and review with an automated optical and computational system. The AR device uses image capture, optical character recognition, and automated code generation algorithms to substitute the manual mechanical process of programming, dramatically reducing development time while maintaining code quality through automated validation.
2Measurement precision
If code review process is implemented, then code accuracy can be verified, but additional time is required for each individual to approve or deny code
Solution Approach 1:
The system implements a feedback mechanism where generated code is automatically presented to users for review and approval. The AR device displays the generated code and allows users to provide feedback through gestures or commands, enabling rapid iterative refinement and approval without extending the overall process time significantly.
Solution Approach 2:
The system performs preliminary code generation automatically before the review stage, so that when code is presented for review, it is already fully formed and ready for evaluation. This preliminary automated generation reduces the time required during the review phase, as users only need to approve or request modifications rather than write code from scratch.
3Productivity
If real-time code generation is implemented, then development speed increases, but the complexity of the system increases
Solution Approach 1:
The AR device is designed with multi-functionality, combining image capture, optical character recognition, code generation, and display capabilities in a single device. This universality reduces the need for multiple separate systems and devices, managing complexity by integrating multiple functions into one platform while enabling real-time code generation.
Solution Approach 2:
The system uses an intermediary processing layer that converts displayed processing steps into code through automated recognition and generation. This intermediary layer acts as a mediator between the visual representation of steps and the executable code, simplifying the overall system architecture by creating a clear transformation pipeline while enabling real-time generation.
Data Source
AI summary
A method for deploying executable programming code, in real-time, leveraging an augmented reality (“AR”) device may be provided. The AR device may be a part of a network of AR devices. Each AR device within the network may be in electronic communication with each other during a duration of time that data displayed is captured, converted, analyzed, code generated and further visualized as a preview in an AR display through the AR device. The method may include capturing, continuously, images of data displayed on a display screen. The method may further include analyzing each captured image in order to identify a captured image comprising a plurality of text associated with computer processing steps for processing a set of documents. In response to the identifying, converting the captured image into a text file and searching to find an optimal function for each step in the set of computer processing steps.