Company Filing History:
Years Active: 2021-2022
Title: Innovations of Jung In Kwon
Introduction
Jung In Kwon is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of technology, particularly in image processing and robotics. With a total of 2 patents, his work focuses on enhancing the functionality and privacy of mobile robots and image conversion methods.
Latest Patents
Jung In Kwon's latest patents include a "Method for making space map and moving robot." This invention captures images of spaces traversed by mobile robots and ensures that any personal information within those images is obscured. By utilizing an object detection neural network and a frame prediction neural network, the invention effectively prevents the exposure of personal data. Additionally, the method allows for image processing in an Internet of Things (IoT) environment using a 5G network.
Another significant patent is the "Method and apparatus for image conversion." This invention involves receiving original image data and separating it into front and back view images for 3D conversion processing. A deep neural network, generated through machine learning, restores the background space between the two images, resulting in a converted 3D image. Similar to his other patent, this method also supports image processing in an IoT environment using a 5G network.
Career Highlights
Jung In Kwon is currently employed at LG Electronics Inc., where he continues to innovate and develop new technologies. His work at this leading electronics company allows him to collaborate with other talented professionals in the field.
Collaborations
Some of his notable coworkers include Seung Hyun Song and Soohyun Han. Their collaborative efforts contribute to the advancement of technology and innovation within the company.
Conclusion
Jung In Kwon's contributions to the fields of robotics and image processing demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of modern challenges, particularly in privacy and image conversion.