Ji Sung Hwang

Title: Innovations by Ji Sung Hwang in Machine Learning for Vehicle Exit Matching

Introduction

Ji Sung Hwang is an accomplished inventor based in Santa Monica, CA. He has made significant contributions to the field of machine learning, particularly in the context of vehicle exit and entry event matching. His innovative approach addresses challenges faced in parking facilities, enhancing the efficiency of vehicle management systems.

Latest Patents

Hwang holds a patent for a groundbreaking invention titled "Machine learning solutions for matching of vehicle exit to unmatched entry events." This patent describes an edge device that generates an exit event for a vehicle leaving a parking facility. The device determines whether the exit event corresponds with an entry event. If a match is not found, the device inputs images of the vehicle into a supervised machine learning model, producing an exit feature vector. It then retrieves entry feature vectors related to hanging entry events, which are entry events for vehicles with unknown identifiers. The edge device inputs both the exit feature vector and the entry feature vectors into an unsupervised machine learning model, generating matching scores for each entry feature vector. Ultimately, the device matches the exit event to one of the hanging entry events based on these scores.

Career Highlights

Ji Sung Hwang is currently employed at Metropolis IP Holdings, LLC, where he continues to develop innovative solutions in the realm of machine learning and vehicle management. His work has positioned him as a key player in the advancement of technology that streamlines parking operations.

Collaborations

Hwang collaborates with talented individuals such as Anil Kumar Nayak and Barry James O'Brien, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Ji Sung Hwang's contributions to machine learning and vehicle exit matching demonstrate his commitment to advancing technology in practical applications. His innovative patent reflects a significant step forward in the efficiency of parking management systems.