This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Korea Institute of Science and Technology. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Kihwan Choi: Innovator in Image Analysis Technology
Introduction
Kihwan Choi is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of image analysis through his innovative use of machine learning and artificial intelligence. His work focuses on enhancing image preprocessing techniques, which are crucial for accurate image analysis.
Latest Patents
Kihwan Choi holds a patent for an "Image analysis apparatus using machine learning-based artificial intelligence including preprocessing modules." This invention discloses an image preprocessing and analysis apparatus that utilizes machine learning-based artificial intelligence. The apparatus comprises a computing system that includes a processor, a communication interface for receiving input images, and an artificial neural network. The neural network generates preprocessing conditions through inference on the input image. The processor controls various modules to produce preprocessed images that are then analyzed for further insights.
Career Highlights
Kihwan Choi is affiliated with the Korea Institute of Science and Technology, where he continues to push the boundaries of technology in image analysis. His work has garnered attention for its innovative approach to integrating artificial intelligence with image processing.
Collaborations
Some of Kihwan Choi's notable coworkers include Jangho Kwon and Laehyun Kim. Their collaborative efforts contribute to the advancement of research and development in their respective fields.
Conclusion
Kihwan Choi's contributions to image analysis technology exemplify the impact of innovation in the realm of artificial intelligence. His patent reflects a significant step forward in enhancing image processing capabilities, showcasing the potential of machine learning in practical applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
