This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Jlk Inspection. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: The Innovative Contributions of Dong-Eog Kim
Introduction
Dong-Eog Kim is a prominent inventor based in Seoul, South Korea. He has made significant strides in the field of image analysis through his innovative patent. His work focuses on utilizing advanced technologies to enhance image processing capabilities.
Latest Patents
Dong-Eog Kim holds a patent for an "Apparatus and method for image analysis using virtual three-dimensional deep neural network." This invention includes an image acquisition unit that stacks multiple two-dimensional image data in a predetermined order. Additionally, it features a three-dimensional image generation unit that creates various three-dimensional data based on different types of information from the stacked two-dimensional images. Furthermore, a deep learning algorithm analysis unit applies a two-dimensional convolutional neural network to each of the three-dimensional data, combining the results for improved analysis.
Career Highlights
Dong-Eog Kim is associated with JLK Inspection, a company known for its innovative approaches in inspection technologies. His contributions to the field have been recognized for their potential to revolutionize image analysis processes.
Collaborations
He has collaborated with notable colleagues, including Myung Jae Lee and Jonghwan Back, who share a commitment to advancing technology in their respective fields.
Conclusion
Dong-Eog Kim's work exemplifies the spirit of innovation in image analysis, showcasing the impact of his inventions on technology. His contributions continue to pave the way for future advancements in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile