Programmatic Structure Design via Visual Input Translation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional design workflows for structures, such as those using Autocad or Revit, are labor-intensive and slow to iterate, requiring manual layout of elements like windows and ducts, whereas computational workflows involve programming, which can be a barrier for designers lacking programming knowledge.
Innovation Solution
Systems and methods generate programmatic descriptions of structures by receiving visual inputs, identifying features, selecting candidate components, resolving parameters, and performing error checks, allowing designers to interact with programmatic content intuitively through visual environments, using refactoring tools and geometric constraint solvers to assign continuous and discrete parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional manual design workflows are used, then designers can work with visual tools intuitively, but the process becomes labor-intensive and slow to iterate
Solution Approach 1:
The patent introduces an intermediary system that translates between visual design representations and programmatic descriptions. This mediator automatically converts manual visual layouts into executable code, enabling designers to work intuitively with visual tools while the system handles the computational complexity, thus resolving the contradiction between ease of operation and productivity.
Solution Approach 2:
The system enables self-service by automatically generating programmatic descriptions from visual inputs without requiring designers to manually write code. The automated translation process allows the design tool to serve itself by converting visual representations into structured data formats, improving iteration speed while maintaining intuitive visual interaction.
2Productivity
If computational workflows with programming are used, then design iteration speed increases, but it becomes a barrier for designers lacking programming knowledge
Solution Approach 1:
The patent introduces an intermediary system that translates between visual design representations and programmatic descriptions. This mediator automatically converts visual design inputs into executable code, enabling designers to work with visual tools without needing programming knowledge, thus resolving the contradiction between productivity and ease of operation.
Solution Approach 2:
The system creates automated copies of design intent by translating visual representations into programmatic descriptions. This copying process captures the designer's visual intent and automatically generates the corresponding code structure, allowing designers to leverage computational workflows without directly engaging with programming syntax or logic.
3Adaptability or versatility
If manual layout of design elements is performed, then designers maintain control over design details, but the effort required increases significantly
Solution Approach 1:
The patent applies preliminary action by automatically generating programmatic descriptions and component selections before the final design is completed. The system performs preliminary layout work, component identification, and parameter resolution based on visual inputs, reducing the time required for manual layout while preserving designer control over final design decisions.
Solution Approach 2:
The system performs self-service by automatically handling the labor-intensive tasks of layout generation, component selection, and parameter assignment. The automated processes handle routine design tasks without human intervention, freeing designers to focus on high-level creative decisions while significantly reducing the time spent on manual layout work.
Data Source
AI summary
Systems and methods for generating programmatic designs of structures in accordance with embodiments of the invention are illustrated. One embodiment includes a system for generating a programmatic description of a design of a structure, including a processing system, and a memory accessible by the processing system storing instructions that when read by the processing system direct the processing system to receive a visual description of a structure, identify features in the visual description of the structure, determine a list of candidate components corresponding to the identified features from the visual description of the structure, resolve parameters for each component in the list of candidate components, generate a programmatic description of the structure based on the list of candidate components of the resolved parameters and perform an error check to determine an amount that the programmatic description differs from the visual description.