Video-Captured Peripheral Device Initialization via Computer Vision
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Solution Overview
Problem
Existing VR systems lack individualized, home-use devices that can integrate with various experience systems to deliver target-specific haptics with next-generation realism and low latency, and they do not employ learning-based approaches to enhance input processing efficiency and reduce latency in haptic outputs.
Innovation Solution
A modular haptic tower system that integrates with a CPU via a microcontroller, utilizing sensor data and machine learning to deliver variable airflow and temperature effects based on user input and virtual environment data, and processes audio/video signals to trigger haptic effects directly from the original programming feed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a plurality of end devices are manually paired one-by-one through a management application, then each device can be individually configured, but the initialization process becomes time-consuming and complex
Solution Approach 1:
The system creates a visual copy of the physical device array by detecting devices in a captured image and generating corresponding virtual representations on a digital canvas. This allows the system to process and initialize multiple devices simultaneously based on their visual positions, rather than requiring sequential manual pairing of each physical device.
Solution Approach 2:
The manual mechanical process of one-by-one device pairing through application menus is replaced with an automated computer vision system that detects devices in an image and automatically initializes them based on their visual positions, dramatically reducing initialization time while maintaining accurate device identification.
2Adaptability or versatility
If traditional VR systems use standard initialization protocols, then device compatibility is maintained, but latency in haptic output increases
Solution Approach 1:
The system performs preliminary device detection and virtual representation creation from a captured image before actual haptic initialization begins. This pre-positioning of virtual device representations on the digital canvas allows the system to establish spatial relationships and initialization sequences in advance, reducing latency during actual haptic output while maintaining compatibility through standard protocols.
Data Source
AI summary
A method for an image-captured initialization of an array of devices, said method comprising the steps of: receiving a video stream featuring a plurality of end devices in a gaming station, wherein said end device renders at least one of a lighting, haptic, or air-blowing effect from a specific location within the gaming station; detecting the plurality of end devices by vision processing at least a frame of the gaming station stream; and positioning a virtual representation of the detected end devices on a digital canvas representing a user's physical space based on a tonal frequency-dependent light-emission from a frequency-defined end device.