Remote Sensor Queuing for Wearable AR Data Processing
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Solution Overview
Problem
Current systems lack efficient methods for remotely accessing and processing sensor data from wearable devices in real-time, particularly in augmented reality applications, which limits the ability to overlay interactive and dynamic information on real-world environments.
Innovation Solution
A network-based system that enables wearable devices to remotely activate sensors and transmit data to a server, which then processes and renders 3D models of physical objects, allowing users to interact with virtual objects overlaid on real-world environments through augmented reality applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data from wearable devices is remotely accessed and processed in real-time, then interactive 3D models can be generated and overlaid on real-world environments, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the augmented reality application into multiple components: wearable devices that capture sensor data, a server that processes and generates 3D models, and client devices that render and display the augmented reality content. This segmentation allows real-time processing capabilities to be distributed across multiple devices, reducing the complexity burden on any single component while maintaining overall system productivity.
Solution Approach 2:
A server acts as an intermediary between wearable devices and client devices, receiving sensor data from wearables, processing it to generate 3D models, and transmitting the processed data to clients. This intermediary architecture enables real-time data processing and model generation without requiring direct complex interactions between all system components, thereby managing system complexity while maintaining high productivity.
2Measurement precision
If multiple wearable devices transmit sensor data to the server simultaneously, then comprehensive 3D models can be generated, but network bandwidth and server processing load increase
Solution Approach 1:
The server maintains a queue of sensor data from multiple wearable devices and processes them in an optimized sequence. By preliminarily organizing and managing data transmission and processing orders, the system can generate comprehensive 3D models using data from multiple sources while controlling network bandwidth consumption and server processing load through efficient scheduling and batch processing.
3Speed
If sensor data is processed locally on wearable devices, then real-time response is achieved, but device power consumption and computational requirements increase
Solution Approach 1:
The system extracts the complex data processing and 3D model generation functions from the wearable devices and relocates them to a server with greater computational resources. The wearable devices only perform lightweight tasks such as capturing sensor data and transmitting it to the server, which significantly reduces their power consumption while the server handles the computationally intensive processing to maintain fast response times.
Data Source
AI summary
An application generates instructions to a wearable device to remotely activate a sensor in the wearable device and to receive sensor data from the sensor. A query related to a physical object is received. Instructions to wearable devices are generated to remotely activate at least one sensor of the wearable devices in response to the query. Sensor data is received from at least one of the wearable devices in response to that wearable device being within a range of the physical object.