Geun Hye Jo

Title: Geun Hye Jo: Innovator in Object Recognition Technology

Introduction

Geun Hye Jo is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the field of object recognition through his innovative patents. With a total of 2 patents, Jo's work focuses on utilizing machine learning models to enhance object detection and recognition systems.

Latest Patents

Geun Hye Jo's latest patents include groundbreaking methods and systems for recognizing objects using machine learning models. One of his patents describes an object recognizing method that involves obtaining an image for recognizing an object, predicting the object appearance area using a trained machine learning model, and recognizing the object based on the predicted area. Another patent outlines a method for limiting the object detection area in a mobile system equipped with a rotation sensor or position sensor. This method includes receiving an image from the image sensor and sensor information from a rotation detection sensor, determining the rotation of the mobile system, and limiting the object detection area accordingly.

Career Highlights

Geun Hye Jo is affiliated with Sungkyunkwan University, where he continues to advance research in the field of machine learning and object recognition. His work has garnered attention for its practical applications in various industries, including robotics and autonomous systems.

Collaborations

Geun Hye Jo collaborates with Dong Kun Shin, contributing to the development of innovative technologies in their field.

Conclusion

Geun Hye Jo's contributions to object recognition technology through his patents demonstrate his expertise and commitment to innovation. His work continues to influence advancements in machine learning and its applications in real-world scenarios.