Automated Device-Interaction Emulator for Mobile Provisioning
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Solution Overview
Problem
Current device management systems require manual intervention for provisioning and testing of mobile devices, which is inefficient and lacks automation, especially in simulating human interactions for software installation and testing.
Innovation Solution
The system employs automated device-interaction emulation using a processor, memory, and imaging systems to simulate human inputs via a human interface device or single board computer, utilizing computer vision techniques for analysis and adjustment of inputs to determine successful operating conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual intervention is used for provisioning and testing of mobile devices, then user selections can be made via UI, but the process is inefficient and lacks automation
Solution Approach 1:
The system enables automated self-service provisioning and testing by having the imaging system capture device display states, the processor analyze these states through computer vision, and automatically provide input signals to navigate UI elements without human intervention. This self-automating loop resolves the contradiction by making the system service itself through automated visual analysis and response generation.
Solution Approach 2:
The patent replaces manual mechanical interaction (human finger tapping, clicking, or keyboard input) with an automated signal generation system. The processor analyzes device states through computer vision and automatically generates appropriate input signals to simulate human interactions, substituting the mechanical human-operated system with an automated electronic control system that improves both automation extent and productivity.
2Productivity
If automated emulation is implemented, then efficiency improves, but system complexity increases due to imaging systems and computer vision processing
Solution Approach 1:
The processor serves multiple functions: it captures images via the imaging system, analyzes device display states through computer vision algorithms, determines appropriate input signals based on analyzed states, and generates control signals to simulate user interactions. This multi-functionality consolidates what could be separate complex subsystems into a unified processor-based solution, improving productivity while managing rather than increasing overall system complexity.
Solution Approach 2:
The imaging system acts as an intermediary between the device display and the processor's analysis capabilities. Instead of requiring direct complex integration between control logic and UI elements, the imaging system provides a standardized visual interface that the computer vision algorithms can process, simplifying the overall system architecture while enabling automated productivity improvements.
3Extent of automation
If computer vision techniques are used for analysis, then automated state determination is achieved, but measurement precision requirements increase
Solution Approach 1:
The system implements feedback by continuously capturing device display states through the imaging system, analyzing these states through computer vision, comparing analyzed states against expected states, and adjusting input signals based on the comparison results. This feedback loop enables automated state determination while managing precision requirements through iterative refinement and correction of analysis accuracy.
Data Source
AI summary
Systems and methods for automated device-interaction emulation for provisioning and testing of devices are disclosed. In some embodiments, a system includes a processor, and a memory, the memory storing processor-readable instructions configured to perform operations including: monitoring a display of a device using an imaging system; providing one or more input signals to the device to simulate one or more human inputs; analyzing information recorded by the imaging system to determine a state of the device responsive to the one or more input signals; and determining whether the state of the device is indicative of a successful operating condition based at least partially on the information recorded by the imaging system. The operations may include adjusting one or more input signals to the device, and re-analyzing information recorded by the imaging system to determine a new state of the device responsive to the adjusted one or more input signals.