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

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


==Organization Name==

[[:Category:HYUNDAI MOTOR COMPANY|HYUNDAI MOTOR COMPANY]]


[[Category:HYUNDAI MOTOR COMPANY]]

==Inventor(s)==

[[:Category:Minhoe Hur of Seoul (KR)|Minhoe Hur of Seoul (KR)]][[Category:Minhoe Hur of Seoul (KR)]]

[[:Category:Hyungseok Lee of Seoul (KR)|Hyungseok Lee of Seoul (KR)]][[Category:Hyungseok Lee of Seoul (KR)]]

[[:Category:Jaesik Min of Seongnam, Gyeonggi-do (KR)|Jaesik Min of Seongnam, Gyeonggi-do (KR)]][[Category: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.



[[Category:G06V10/764]]
[[Category:G06V10/82]]