17940206. METHOD OF ESTIMATING RELATIONSHIP BETWEEN OBJECTS AND ELECTRONIC DEVICE FOR THE SAME simplified abstract (HYUNDAI MOTOR COMPANY)

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METHOD OF ESTIMATING RELATIONSHIP BETWEEN OBJECTS AND ELECTRONIC DEVICE FOR THE SAME

Organization Name

HYUNDAI MOTOR COMPANY

Inventor(s)

Minhoe Hur of Seoul (KR)

Hyungseok Lee of Seoul (KR)

Jaesik Min of Seongnam, Gyeonggi-do (KR)

METHOD OF ESTIMATING RELATIONSHIP BETWEEN OBJECTS AND ELECTRONIC DEVICE FOR THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 17940206 titled 'METHOD OF ESTIMATING RELATIONSHIP BETWEEN OBJECTS AND ELECTRONIC DEVICE FOR THE SAME

Simplified Explanation

The patent application describes a method of using machine learning to estimate relationships between objects. Here is a simplified explanation of the abstract:

  • The method involves receiving a scan image.
  • The scan image is analyzed to recognize a starting point of a relationship line and an object code.
  • The method then determines if there is a relationship line between the recognized starting point and the recognized object code.
  • If a relationship line is present, a combination of the starting point and the object code connected by the relationship line is transmitted to a database.

Potential applications of this technology:

  • Data analysis: The method can be used to analyze relationships between objects in various types of data, such as graphs, diagrams, or network structures.
  • Knowledge management: The method can help in organizing and categorizing information by identifying relationships between different objects.
  • Image recognition: The technology can be applied to recognize and analyze relationships between objects in scanned images or photographs.

Problems solved by this technology:

  • Manual effort reduction: The method automates the process of identifying and estimating relationships between objects, saving time and effort compared to manual analysis.
  • Accuracy improvement: By utilizing machine learning, the method can potentially provide more accurate and consistent results in identifying relationships between objects.
  • Scalability: The technology can handle large amounts of data and can be applied to various types of objects and relationships.

Benefits of this technology:

  • Efficiency: The method allows for faster analysis and estimation of relationships between objects, improving overall efficiency in data processing.
  • Enhanced decision-making: By providing a systematic approach to understanding relationships, the technology can support better decision-making processes.
  • Data organization: The method helps in organizing and structuring data by identifying and categorizing relationships between objects, making it easier to retrieve and utilize information.


Original Abstract Submitted

Provided is a method of estimating a relationship between objects through machine learning, the method comprising receiving a scan image, recognizing a starting point of a relationship line and an object code in the scan image, determining whether a relationship line is present between the recognized starting point and the recognized object code, and, based on determining that the relationship line is present, transmitting a combination of the starting point and the object code connected with the relationship line to a database.

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