Spatial Budgeting for Object Placement and Storage Constraints
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Solution Overview
Problem
Location-based service providers face challenges in automatically detecting and assessing the spatial impact of objects in environments, as the dynamic nature of object acquisition and placement complicates understanding their spatial and financial costs.
Innovation Solution
A system and method that uses sensors to determine the spatial volume and cost of objects, calculates an available spatial budget, and provides recommendations for optimal placement based on these metrics, incorporating geometrical, contextual, and visual costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If sensors are used to automatically detect and assess objects in an environment, then object detection capability is improved, but device complexity increases
Solution Approach 1:
The system segments object assessment into distinct components: spatial volume measurement, spatial cost calculation, and placement recommendation. Each component is handled by specific sensor types and processing modules, dividing the complex detection task into manageable segments that can be processed independently.
Solution Approach 2:
The patent introduces intermediate computational layers between sensor detection and final assessment. Spatial cost models and placement algorithms act as intermediaries that translate raw sensor data into meaningful spatial budget metrics, reducing the complexity of direct object-environment analysis.
2Measurement precision
If the system calculates detailed spatial costs and budgets for objects, then spatial assessment precision is improved, but computational complexity increases
Solution Approach 1:
The system transforms physical spatial parameters into standardized budget parameters. By converting diverse spatial measurements into a unified spatial cost and budget framework, the system achieves precise assessment while simplifying computational comparisons across different object types and environments.
Solution Approach 2:
The patent applies different spatial cost calculation methods based on local environmental characteristics and object properties. Rather than using a single complex model universally, the system adapts its assessment precision to the specific context, applying detailed calculations only where necessary.
3Ease of operation
If the system provides comprehensive placement recommendations based on spatial budget, then placement optimization is improved, but processing time increases
Solution Approach 1:
The system performs preliminary spatial budget calculations and placement assessments before actual object placement. By pre-computing spatial costs and evaluating potential placement locations in advance, the system reduces on-site decision time and enables faster deployment without sacrificing optimization quality.
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 users to declutter and optimize space by quantifying object spatial costs, suggesting placement, and providing financial insights, promoting sustainable living and resource management.
Implementation Method 1
initiating a scan of an object, an available space, or a combination thereof using a sensor to determine a spatial volume of the object
Data Source
AI summary
An approach is provided for associating an object with a spatial budget. The approach, for example, involves initiating a scan of an object, an available space, or a combination thereof using a sensor to determine a spatial volume of the object, a spatial volume of the available space for a storage or a placement of the object, or a combination thereof. The approach also involves determining a spatial cost of an object based on the spatial volume of the object. The approach further involves determining an available spatial budget based on the spatial volume of an available space. The approach further involves determining a spatial budget for the object based on the spatial cost of the object and the available spatial budget. The approach further involves providing the spatial budget of the object, the spatial cost of the object, the available spatial budget, or a combination thereof as an output.