Seongnam-si, South Korea

Jin Bok Kim


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Jin Bok Kim in Object Recognition Technology

Introduction

Jin Bok Kim is a notable inventor based in Seongnam-si, South Korea. He has made significant contributions to the field of object recognition technology, particularly in the context of vehicle safety systems. His innovative approach focuses on enhancing the capabilities of Around View Monitoring (AVM) systems through advanced deep learning techniques.

Latest Patents

Jin Bok Kim holds a patent for a "DNN-based object recognition method for multi-channel fisheye images of AVM video." This invention relates to a technology that recognizes objects in AVM video for vehicles. The method involves projecting multi-channel unit images from fisheye-lens cameras onto a cylindrical projection plane to create composite projection images. These images are then processed using a Deep Neural Network (DNN) model to achieve effective object recognition. This technology significantly aids in safe driving by monitoring surrounding objects and is designed to function efficiently even with the limited computing resources available in vehicles. He has 1 patent to his name.

Career Highlights

Jin Bok Kim is currently employed at Litbig Inc., where he continues to develop innovative solutions in the field of vehicle technology. His work is instrumental in advancing the safety features of modern vehicles, making them more reliable for drivers and passengers alike.

Collaborations

Jin Bok Kim collaborates with talented individuals such as Sang Gu Kim and In Sub Lee, who contribute to the development and refinement of his innovative projects.

Conclusion

Jin Bok Kim's contributions to object recognition technology exemplify the importance of innovation in enhancing vehicle safety. His work not only addresses current challenges in the automotive industry but also paves the way for future advancements in smart vehicle technologies.

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