Mobile 3D Body Mapping for Noise-Reduced Digital Asset Capture
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Solution Overview
Problem
Existing technologies face challenges in accurately capturing and storing digital assets of real-world objects due to noise from positional and orientational differences, require high-end hardware, and lack efficient methods for data aggregation and access control, especially in blockchain applications.
Innovation Solution
A system and method using computer-enabled imaging devices with sensors like gyroscopes, accelerometers, and LIDAR for capturing 3D bodies, generating digital assets, and creating cryptographic non-fungible tokens, while utilizing blockchain technology for secure data storage and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image scanning methods are used to capture real-world objects, then digital data can be generated, but significant noise is introduced due to small differences in position or orientation
Solution Approach 1:
The patent introduces an intermediary alignment process that uses identified features from multiple images to compute transformation parameters. This intermediary step mediates between the noisy individual scans and the final aligned dataset, eliminating position and orientation differences through mathematical transformation rather than direct concatenation of raw data.
Solution Approach 2:
The patent replaces mechanical alignment methods with computational image processing techniques. Instead of physically repositioning or re-scanning objects to achieve alignment, the system uses algorithmic transformations based on feature identification and coordinate system calculations to achieve precise digital alignment.
2Measurement precision
If 3D surface reconstruction techniques are used to improve scanning accuracy, then measurement precision is enhanced, but high-end graphic processors or active depth sensors are required
Solution Approach 1:
The patent creates a digital copy or representation of the alignment problem that can be solved computationally. Instead of requiring complex hardware to physically capture perfectly aligned data, the system captures ordinary images and creates a computational model that replicates the effect of precise alignment through feature-based transformation.
Solution Approach 2:
The patent changes the parameters of the imaging system from requiring active depth sensors to using standard passive imaging sensors. By transforming the problem into the image domain rather than the depth domain, the system achieves 3D reconstruction capabilities with conventional cameras instead of specialized hardware.
3Reliability
If cryptographic assets are created for each digital asset, then data protection and origin tracking are improved, but the ability to combine and partition cryptographic assets for access purposes is limited
Solution Approach 1:
The patent segments cryptographic assets into modular components that can be independently managed and combined. The system allows cryptographic assets to be divided into parts that can be selectively assembled based on access requirements, enabling fine-grained control over data protection and sharing without requiring complete asset distribution.
Solution Approach 2:
The patent adds a new dimension to cryptographic asset management by introducing hierarchical or multi-layered access structures. Instead of treating cryptographic assets as flat, indivisible units, the system creates a multi-dimensional framework where assets can be accessed at different levels of granularity and combined in various configurations based on permissions and requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate capture and secure storage of digital assets with enhanced data access control, allowing for detailed spatial and temporal monitoring and evaluation of 3D bodies, suitable for various industrial applications.
Implementation Method 1
the plurality of sensors includes a gyroscope sensor
Implementation Method 2
the plurality of sensors includes an accelerometer sensor
Implementation Method 3
the plurality of sensors includes a light detection and range sensor (LIDAR)
Data Source
AI summary
Provided are systems, methods, and devices for generating digital and/or cryptographic assets. An initial state of an environment is acquired using sensors that includes a state of each sensor, a region of interest including a 3D body, and a state of light sources. The asset is associated with the 3D body. A plurality of boundary conditions associated with a workflow for capturing the asset is determined. A visualization of a set of boundary conditions is displayed on a display that includes a plurality of visual cues including first and second visual cues. Each respective visual cue provides a visual indication of a state of a corresponding boundary condition in the set of boundary conditions. At least one visual cue is updated when each boundary condition in the set of boundary conditions is satisfied. When satisfied, the workflow at the computer-enabled imaging device is executed, thereby capturing the asset.