Information Processing Apparatus for Real-World Space Search
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Solution Overview
Problem
Existing technologies require complex operations for data collection, parameter adjustment, and response setup for each task in searching a real-world space, making the process cumbersome.
Innovation Solution
An information processing apparatus that acquires object placement information from measured real-world data, receives user queries, and uses an object placement characteristics database to predict responses, thereby simplifying the search process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional search systems are used for real-world space, then search functionality is achieved, but the process requires complex operations for data collection, parameter adjustment, and response setup for each task
Solution Approach 1:
The patent creates virtual copies of real-world spaces through 3D modeling and object placement information. Instead of directly interacting with complex physical search systems, users work with simplified virtual representations that replicate the essential spatial relationships and object positions, thereby reducing operational complexity while maintaining search functionality.
Solution Approach 2:
The system establishes a universal object placement characteristics database that can be applied across multiple different search tasks and real-world spaces. This database stores generalized object placement patterns that can be reused for various search scenarios, eliminating the need to perform complex data collection and parameter adjustment for each individual task, thus simplifying operations while reducing system complexity.
2Measurement precision
If detailed data collection and parameter adjustment are performed for each search task, then search accuracy is improved, but the time and effort required increases significantly
Solution Approach 1:
The system performs data collection and object placement analysis in advance, storing the results in an object placement characteristics database. By conducting these operations preliminarily and reusing the stored information for subsequent search tasks, the system maintains high search accuracy while significantly reducing the time and effort required for each individual task, as users no longer need to perform detailed data collection and parameter adjustment repeatedly.
Data Source
AI summary
An information processing apparatus acquires object placement information including types and a placement relations of object generated on the basis of measurement information acquired by measuring a real-world space, receives query information from a user, and predicts a response to the query information using an object placement characteristics database storing object placement characteristics representing a positional relation of a plurality of objects on the basis of the object placement information and the query information.