Intelligent Design Platform Using Video Context Models
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Solution Overview
Problem
In product design processes, real-world use and context of use are often absent from the design phase, leading to designs that do not fully account for industrialized contexts such as residential, commercial, and seasonal use.
Innovation Solution
An intelligent design platform that aggregates contextual requirements with designer-provided requirements by analyzing digital videos to generate product designs, using photogrammetry to create context models and extract contextual requirements, which are then combined with designer inputs to produce optimized product designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If designer-provided requirements are used alone in the design phase, then the design process is simple and quick, but the design does not account for real-world use and industrialized context
Solution Approach 1:
The system performs preliminary action by automatically generating contextual requirements from digital videos and industrialized data before the design phase begins. This pre-processing of contextual information (residential, commercial, seasonal usage patterns) is stored and ready to be integrated with designer requirements, ensuring real-world context is incorporated without adding complexity during the actual design process.
Solution Approach 2:
The patent introduces an intermediary system that acts as a bridge between industrialized data (videos, usage patterns) and the design process. This intermediary automatically extracts contextual requirements and merges them with designer-provided requirements, eliminating the need for designers to manually analyze industrialized context while ensuring comprehensive design quality.
2Adaptability or versatility
If contextual requirements from digital videos are analyzed and integrated, then real-world use context is incorporated into design, but the design process becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary action by pre-processing digital videos and industrialized data to extract contextual requirements before the design phase. Usage patterns, environmental conditions, and contextual information are automatically analyzed and stored in advance, so that during design generation, this pre-processed information is readily available for integration without time-consuming manual analysis.
Solution Approach 2:
The patent replaces manual mechanical analysis of contextual data with automated computer-based processing. Instead of designers manually reviewing videos and extracting contextual requirements, the system uses automated algorithms to analyze digital videos, extract usage patterns, and generate contextual requirements, dramatically reducing the time required while maintaining comprehensive adaptability.
3Ease of operation
If aggregate requirements combining contextual and designer requirements are used, then product designs better meet user needs, but the requirements aggregation process adds complexity
Solution Approach 1:
The system implements self-service by automatically performing the complex task of aggregating contextual requirements with designer requirements. The requirements aggregation module autonomously merges these requirement sets, resolves conflicts, and generates comprehensive aggregate requirements without requiring designer intervention in the complex aggregation process, thereby improving usability while managing complexity automatically.
Solution Approach 2:
The patent replaces manual requirements aggregation with automated computational processes. The system uses algorithms to automatically merge contextual requirements (from industrialized data) with designer requirements, prioritizing and resolving conflicts programmatically, which eliminates the need for manual analysis of complex requirement interactions while ensuring comprehensive usability considerations are incorporated.
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
The platform effectively incorporates industrialized context into the design process, resulting in product designs that better meet real-world use and user needs, enhancing the design's functionality and usability.
Implementation Method 1
actions further include providing context models by processing tagged images using photogrammetry
Data Source
AI summary
Implementations for include providing one or more product designs using an intelligent design platform receiving a product indicator that indicates a product that is to be designed, transmitting a request to a contextual requirements system, the request including the product identifier and requesting one or more contextual requirements, determining a set of context models based on the product identifier, each context model in the set of context models being generated based on one or more scenes represented in a digital video, each scene depicting a contextual use of the product, providing a set of contextual requirements to the design generation system based on one or more context models, and inputting a set of aggregate requirements to a generative design tool that generates the one or more product designs based on the set of aggregate requirements, the set of aggregate requirements including at least one contextual requirement.