Embedded 3D Object Data Extraction for Self-Describing Parts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for storing and retrieving metadata about 3D objects are limited by the capacity of external data codes like QR codes and RFID tags, which are obtrusive and expensive, and metadata expiration issues, making it difficult to access complete information about objects without external databases.
Innovation Solution
Embedding large volumes of data directly into 3D objects using physical representations such as cavities or metal particles, allowing 3D scanning devices to extract and process this data for display, transmission, or user input, and enabling 3D printing of copies based on embedded instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored externally using QR codes or RFID tags, then data access is enabled, but data capacity is limited and the codes are obtrusive
Solution Approach 1:
The patent merges the data storage function directly into the 3D object by embedding data during the manufacturing process. Instead of adding separate external codes or tags, the data becomes an integral part of the object's structure, achieved through modifying manufacturing instructions to include data embedding commands that incorporate data patterns into the object geometry.
Solution Approach 2:
The 3D object serves multiple functions: it maintains its primary functional purpose while simultaneously acting as a data storage medium. The embedded data can be extracted and used for various purposes such as authentication, tracking, or accessing additional information, making the object universal in its utility without requiring separate identification components.
2Loss of information
If external infrastructure is set up to hold metadata, then complete information about objects can be retrieved, but infrastructure costs are expensive
Solution Approach 1:
The patent extracts the data storage requirement from the external infrastructure context and relocates it directly onto the 3D object itself. By embedding the data within the object during manufacturing, the system eliminates the need for expensive external databases, servers, or cloud storage infrastructure, while still maintaining complete information availability.
3Device complexity
If data is stored externally with time limits, then storage costs are reduced, but data access becomes difficult after expiration
Solution Approach 1:
The patent applies preliminary action by embedding the data during the manufacturing process itself, before the object enters service. This ensures the data is permanently attached to the object's lifecycle, eliminating concerns about data expiration or external storage limitations. The data remains reliably accessible throughout the object's entire useful life without requiring ongoing external infrastructure.
Data Source
AI summary
A method of extracting data embedded in a 3D object includes a 3D scanning device scanning a 3D object and extracting data embedded as physical representations in the 3D object. A processing device will identify, from the extracted data, instructions for causing the processing device to perform an action such as identifying building instructions for printing a copy of the 3D object. The processing device will also perform the action to identify the building instructions, and cause a 3D printer to use the building instructions to print the copy of the 3D object. The processing device may be part of the 3D scanning device or part of another device or system that is in communication with the 3D scanning device.