This inventor holds 1 USPTO granted patent. Top assignee: Sm Instruments Co., Ltd. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: In-Keon Kim: Innovator in Acoustic Technology
Introduction
In-Keon Kim is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of acoustic technology, particularly through his innovative patent that addresses the detection of abnormal acoustic sources. His work is instrumental in advancing the capabilities of AI acoustic imaging.
Latest Patents
In-Keon Kim holds a patent titled "Method for determining abnormal acoustic source and AI acoustic image camera." This invention discloses an AI acoustic camera that includes several key components. The acoustic source localizing means unit generates position-specific acoustic level data by determining the position of an acoustic source. The AI acoustic analysis unit recognizes the type of acoustic source estimated as an abnormal source by extracting a regeneration time domain acoustic signal. This unit employs AI learning to recognize an acoustic feature image of the extracted signal. Additionally, the object recognition unit identifies the type of object positioned at the acoustic source through image analysis. Finally, the determination unit assesses whether the acoustic source is a true source based on the commonality between the types of acoustic source and object.
Career Highlights
In-Keon Kim is associated with Sm Instruments Co., Ltd., where he continues to develop innovative solutions in acoustic technology. His work has garnered attention for its practical applications and potential impact on various industries.
Collaborations
In his career, In-Keon Kim has collaborated with notable colleagues, including Young-Key Kim and Wook-Jin Jeong. These collaborations have contributed to the advancement of their shared goals in the field of acoustic technology.
Conclusion
In-Keon Kim's contributions to acoustic technology through his innovative patent demonstrate his expertise and commitment to advancing the field. His work not only enhances the understanding of acoustic sources but also paves the way for future innovations in AI acoustic imaging.