Virtual Control Panel API: An Artificial Intelligence Driven Directive to Allow Programmers and Users to Create Customizable, Modular, and Virtual Control Panels and Systems to Control IoT Devices via Augmented Reality

Abstract

An incremental tide in IoT devices prompts a centralized control system where physical controls such as buttons and knobs can become virtual and centralized via augmented reality: especially headset AR. I conduct a literature mapping to identify gaps and create a front-end based virtual control panel API tool to allow programmers and end-users to rapidly create headset augmented reality-based virtual control systems for physical devices. I probe on how an artificial intelligence back-end aids in such a system in terms of panel creation and automation as well as panel usage and control scenarios. I delve into use cases of the virtual control panel API including mass usage and specialized scenarios. Furthermore, I specify the guidelines for a requirements elicitation study for such a system along with potential points of derivation. Next, I probe into implications and limitations of such a system in terms of artificial intelligence, usage, and precision. My work has implications for programmers and users of a virtual control system backed by artificial intelligence for the purpose of controlling physical IoT devices in mass usage as well as in specialized scenarios.