AR Interaction for Virtual Industrial Automation Equipment
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Solution Overview
Problem
Current augmented reality systems lack efficient methods for users to interact with virtual industrial automation devices in an intuitive and natural manner, particularly in industrial settings, where gestures and voice commands that mimic real-world motions are not effectively utilized to control and design industrial systems within the AR environment.
Innovation Solution
An interactive augmented reality system that uses a head-mounted device to detect user gestures and voice commands, allowing users to select, move, couple, and decouple virtual industrial automation devices in a manner that simulates real-world interactions, while providing compatibility checks and error notifications, enabling intuitive design and visualization of industrial systems within the AR environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional AR interaction methods are used, then system control is achieved, but user interaction intuitiveness and naturalness deteriorate
Solution Approach 1:
The patent replaces traditional mechanical control interfaces (buttons, switches, keyboards) with gesture-based and voice command recognition systems. The head-mounted device captures user gestures and voice inputs, processes them through machine learning algorithms, and translates them into system commands, enabling more natural and intuitive interaction without physical contact with control devices.
Solution Approach 2:
The patent introduces an intermediary processing layer between user input and system response. The head-mounted device acts as a mediator that captures gestures and voice commands, processes them through recognition algorithms, and translates them into meaningful system commands. This intermediary layer enables natural interaction while managing system complexity through standardized processing protocols.
2Ease of operation
If gesture and voice command recognition is implemented, then interaction naturalness improves, but system complexity increases
Solution Approach 1:
The head-mounted device is designed with multi-functionality, serving as both a display device for AR content and a recognition system for gestures and voice commands. The device integrates camera sensors, microphone arrays, and processing units that can simultaneously handle multiple input modalities (visual gestures, auditory commands) and translate them into unified system commands, reducing overall system complexity through consolidation.
Solution Approach 2:
The system implements self-service through automated gesture and voice command recognition. The head-mounted device autonomously captures user inputs, processes them through integrated algorithms, and executes corresponding system commands without requiring external processing equipment or manual intervention. This self-service capability reduces system complexity by eliminating separate processing components.
3Productivity
If virtual industrial automation devices are manipulated in AR, then design efficiency improves, but interaction precision deteriorates
Solution Approach 1:
The patent implements preliminary action by providing compatibility checks and error notifications before finalizing virtual device configurations. The system pre-validates gesture commands and voice inputs against predefined compatibility rules, detecting potential errors in virtual device coupling or configuration before they are executed. This preliminary validation ensures manipulation precision while maintaining design efficiency through automated error detection.
Data Source
AI summary
A method may include receiving, via a processor, image data associated with a user's surrounding and generating, via the processor, a visualization that may include a virtual industrial automation device. The virtual industrial automation device may depict a virtual object within image data, and the virtual object may correspond to a physical industrial automation device. The method may include displaying, via the processor, the visualization via an electronic display and detecting, via the processor, a gesture in image data that may include the user's surrounding and the visualization. The gesture may be indicative of a request to move the virtual industrial automation device. The method may include tracking, via the processor, a user's movement, generating, via the processor, a visualization that may include an animation of the virtual industrial automation device moving based on the user's movement, and displaying, via the processor, the visualization via the electronic display.