Digital Human Capture Workflow With Edge Processing and Secure Storage
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Solution Overview
Problem
Current human scanning sessions for creating digital representations are inefficient, often confusing for subjects, result in incomplete image capture, generate excessive data, and require costly centralized computing infrastructure for storage and processing.
Innovation Solution
A method and system for capturing and processing images using a distributed computing environment with automated instructions, simultaneous photometric and photogrammetry data capture, and secure image storage with metadata synchronization, enabling efficient image processing and storage in a secure database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current centralized image capture and processing methods are used, then complete image data can be captured, but storage and computing costs are high and processing efficiency is low
Solution Approach 1:
The patent divides the centralized processing system into distributed edge devices that perform local image processing and filtering. Each edge device segments the overall processing task, capturing and processing images locally before transmitting only essential data to the central server, thereby reducing central storage and computing costs while maintaining complete image capture capability.
Solution Approach 2:
The patent extracts and removes unnecessary image data through automated filtering and processing at the edge devices before transmission. By taking out redundant information and transmitting only essential processed data, the system reduces storage requirements and bandwidth consumption while preserving the completeness of captured image data.
2Manufacturing precision
If manual image capture directions are provided to subjects, then image quality can be controlled, but the process is time-consuming and confusing for subjects
Solution Approach 1:
The patent implements automated feedback mechanisms where the system monitors subject position and image capture status in real-time, then provides targeted guidance only when corrections are needed. This feedback loop maintains image quality control while minimizing the time subjects spend receiving and following directions, as the system automatically adjusts and guides only when necessary.
Solution Approach 2:
The system enables subjects to perform capture actions autonomously through automated scripting and real-time monitoring. Subjects follow pre-programmed sequences with minimal human intervention, reducing the time-consuming nature of manual direction while maintaining quality through automated quality checks and real-time feedback.
3Reliability
If large amounts of image data are captured, then complete subject representation is achieved, but data storage and organization become difficult
Solution Approach 1:
The patent extracts and removes redundant image data through automated filtering and processing. By eliminating duplicate and unnecessary data before storage, the system maintains complete subject representation while significantly reducing storage complexity and organizational burden.
Solution Approach 2:
The patent segments image data into categorized groups based on subject, pose, lighting conditions, and other metadata. This segmentation organizes large volumes of image data into manageable, searchable segments, reducing storage and organization complexity while preserving complete subject representation across all categories.
4Power
If centralized processing infrastructure is used, then image processing capability is sufficient, but the system is costly and has severe storage and bandwidth limitations
Solution Approach 1:
The patent segments processing tasks between edge devices and central servers. Edge devices perform local filtering and preliminary processing, while the central server handles complex processing. This segmentation reduces bandwidth consumption by keeping processed data local and only transmitting essential information, while maintaining sufficient overall processing capability.
Solution Approach 2:
The patent introduces edge devices as intermediaries between image capture and central processing. These intermediaries perform local processing and filtering, reducing the data load on central infrastructure and bandwidth consumption, while maintaining sufficient processing capability through distributed computation.
Data Source
AI summary
The present disclosure provides, among other things, systems and methods for producing digital content in a time and memory-efficient manner. Among other things, the disclosed systems and methods enable a more efficient approach to (i) capturing image and metadata content of a subject, (ii) processing image and metadata content of a subject, (iii) storing data content of a subject, (iv) accessing and utilizing image content of a subject, (v) generating unique video content that includes a virtualization of the subject (e.g., a hyper model or virtual model) based on the stored image content of the subject, and/or (vi) securely limiting access to the image content of a subject.