Seoul, South Korea

Moonkyu Song

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Seoul, KR (2022 - 2023)
  • Suwon-si, KR (2022 - 2024)

Company Filing History:


Years Active: 2022-2024

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4 patents (USPTO):Explore Patents

Title: Moonkyu Song: Innovator in Optical Object Recognition

Introduction

Moonkyu Song is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of optical object recognition, holding a total of 4 patents. His work focuses on developing methods and devices that enhance the accuracy and efficiency of image recognition technologies.

Latest Patents

Among his latest patents, Moonkyu Song has developed a method and device for reference imaging and optical object recognition. This innovative method involves driving specific light sources within a display panel to obtain reference images for object recognition. By utilizing an object recognition sensor, multiple images are captured based on reflected light, allowing for the storage of a first reference image associated with a target object. Additionally, he has created a method for performing optical object recognition that includes obtaining environmental information to improve the recognition process.

Career Highlights

Moonkyu Song is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of technology in optical recognition. His work has been instrumental in advancing the capabilities of image processing systems, making them more effective in real-world applications.

Collaborations

Throughout his career, Moonkyu has collaborated with talented individuals such as Seongwook Song and Taeui Kim. These partnerships have fostered innovation and have contributed to the successful development of his patented technologies.

Conclusion

Moonkyu Song's contributions to optical object recognition exemplify the impact of innovative thinking in technology. His patents not only enhance the functionality of image recognition systems but also pave the way for future advancements in the field.

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