18311287. INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND METHOD simplified abstract (FUJIFILM Business Innovation Corp.)

From WikiPatents
Jump to navigation Jump to search

INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND METHOD

Organization Name

FUJIFILM Business Innovation Corp.

Inventor(s)

Yumi Sekiguchi of Kanagawa (JP)

Atsushi Ogihara of Kanagawa (JP)

Tomonari Takahashi of Kanagawa (JP)

Ryosuke Higashikata of Kanagawa (JP)

INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18311287 titled 'INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND METHOD

Simplified Explanation

The patent application describes an information processing apparatus that can analyze product manufacturing information from two-dimensional and three-dimensional drawing data to determine relationships and detect differences between them.

  • The processor determines relationships between pieces of product manufacturing information in 2D and 3D drawing data.
  • Based on the determined relationships, the processor generates first and second information indicating the relationships.
  • The apparatus then detects differences between the first and second information by identifying correspondence between them.

Potential Applications

This technology could be applied in industries such as manufacturing, engineering, and design to streamline the process of analyzing and comparing product manufacturing information from different types of drawing data.

Problems Solved

This technology solves the problem of efficiently analyzing and comparing product manufacturing information from 2D and 3D drawing data, which can be time-consuming and prone to errors when done manually.

Benefits

The benefits of this technology include increased accuracy in analyzing product manufacturing information, improved efficiency in detecting differences between 2D and 3D data, and enhanced productivity in the design and manufacturing process.

Potential Commercial Applications

One potential commercial application of this technology could be in software development for CAD (Computer-Aided Design) programs, where it could enhance the capabilities of analyzing and comparing product manufacturing information from different types of drawing data.

Possible Prior Art

One possible prior art for this technology could be existing CAD software that offers some level of analysis and comparison tools for product manufacturing information, but may not specifically focus on comparing data from 2D and 3D drawing data.

Unanswered Questions

How does this technology handle large volumes of product manufacturing information for analysis and comparison?

The patent application does not provide details on the scalability of the information processing apparatus for handling large amounts of data.

What are the potential limitations or challenges in accurately detecting differences between 2D and 3D product manufacturing information?

The patent application does not address any potential limitations or challenges that may arise in accurately detecting differences between 2D and 3D product manufacturing information, such as data inconsistencies or format variations.


Original Abstract Submitted

An information processing apparatus includes a processor configured to: determine a relationship between plural pieces of product manufacturing information included in two-dimensional drawing data and generate, on a basis of the determined relationship, first information indicating the relationship between the plural pieces of product manufacturing information; determine a relationship between a plural pieces of product manufacturing information included in three-dimensional drawing data and generate, on a basis of the determined relationship, second information indicating the relationship between the plural pieces of product manufacturing information; and detect a difference between the first information and the second information by identifying correspondence between the first information and the second information.