Honolulu, HI, United States of America

Kaleb-John Seijin Loo

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Kaleb-John Seijin Loo

Introduction

Kaleb-John Seijin Loo is an innovative inventor based in Honolulu, Hawaii. He has made significant contributions to the field of machine learning, particularly in the context of vehicle entry and exit systems. His work focuses on enhancing the efficiency and accuracy of parking facility operations.

Latest Patents

Kaleb-John holds a patent for "Machine learning solutions for matching of vehicle exit to unmatched entry events." This invention involves an edge device that generates an exit event for a vehicle leaving a parking facility. The device determines if the exit event corresponds with an entry event. If there is no match, it inputs images of the vehicle into a supervised machine learning model, which produces an exit feature vector. The edge device then retrieves entry feature vectors related to hanging entry events, which are entry events for vehicles with unknown identifiers. By inputting the exit feature vector and entry feature vectors into an unsupervised machine learning model, the device generates matching scores for each entry feature vector. Ultimately, it matches the exit event to one of the hanging entry events based on these scores.

Career Highlights

Kaleb-John is currently employed at Metropolis IP Holdings, LLC, where he continues to develop innovative solutions in the realm of machine learning and vehicle management systems. His work is instrumental in advancing technology that streamlines parking operations and enhances user experience.

Collaborations

Kaleb-John collaborates with talented individuals such as Ji Sung Hwang and Anil Kumar Nayak. Their combined expertise contributes to the success of their projects and the advancement of their technological innovations.

Conclusion

Kaleb-John Seijin Loo is a notable inventor whose work in machine learning is paving the way for smarter parking solutions. His innovative patent demonstrates the potential of technology to improve everyday experiences in urban environments.

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