Smart Glasses Data Processing With Host-Cloud Task Segmentation
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Solution Overview
Problem
Existing smart wearable devices in augmented reality technology have limitations in application scenarios and data processing, leading to a lower user experience.
Innovation Solution
A data processing method and system that includes a smart wearable device, a host, and a cloud, where the device captures image and voice information based on a target function mode, and processes this information through the host and/or cloud to generate accurate data processing results, which are then executed by the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If smart wearable devices process data locally, then response speed is improved, but processing accuracy deteriorates
Solution Approach 1:
The patent segments the data processing system into three distinct components: the smart wearable device (for local data acquisition and preliminary processing), the host device (for intermediate processing and coordination), and the cloud server (for complex analysis and high-accuracy processing). This segmentation allows each component to operate at its optimal level, with the wearable device providing fast local response and the cloud server providing high-accuracy processing for complex tasks.
Solution Approach 2:
The host device serves as an intermediary between the smart wearable device and the cloud server. It receives data from the wearable device, performs preliminary processing and filtering, and then transmits processed data to the cloud server. This intermediary role optimizes data transmission efficiency and allows the system to balance between local response speed and cloud-based processing accuracy.
2Measurement precision
If more processing power is allocated to the wearable device, then data processing accuracy is improved, but device complexity increases
Solution Approach 1:
The patent divides the processing workload across multiple devices rather than concentrating all processing power in the wearable device. The wearable device handles basic sensing and preliminary processing, while the host device and cloud server handle more complex processing tasks. This segmentation reduces the complexity requirements for each individual device while maintaining overall high processing accuracy.
Solution Approach 2:
The system employs a multi-functional architecture where the wearable device can operate in different modes depending on the task requirements. For simple tasks, it processes data locally; for complex tasks, it collaborates with the host device and cloud server. This multi-functionality allows the wearable device to maintain lower complexity while still achieving high processing accuracy when needed.
3Measurement precision
If cloud-based processing is used, then processing accuracy is improved, but response time increases
Solution Approach 1:
The wearable device performs preliminary data acquisition, filtering, and preliminary processing before transmitting data to the cloud server. This preliminary action reduces the amount of data that needs to be processed in the cloud and prepares the data in advance, thereby reducing the overall response time while maintaining cloud-based processing accuracy for complex tasks.
Solution Approach 2:
The system maintains continuous operation across all components - the wearable device continuously collects data and performs preliminary processing, the host device continuously manages data flow and coordination, and the cloud server continuously processes complex tasks. This continuity ensures that there are no idle periods or redundant transmissions, optimizing the balance between response time and processing accuracy.
Data Source
AI summary
Provided are a data processing method, system, and apparatus, a device, a storage medium, and a program product. The method includes fastening the smart wearable device to glasses worn by a target object; determining a target function mode; acquiring first image information captured from the viewpoint of the target object and/or first voice information of the target object based on the target function mode; receiving data processing result information corresponding to the target function mode based on the first image information and/or the first voice information; and executing the data processing result information.


