Company Filing History:
Years Active: 2025
Title: Anil Kumar Nayak: Innovator in Machine Learning Solutions
Introduction
Anil Kumar Nayak is a prominent inventor based in Los Angeles, California. He has made significant contributions to the field of machine learning, particularly in the context of vehicle entry and exit systems. His innovative approach addresses challenges in matching vehicle exit events to unmatched entry events.
Latest Patents
Anil Kumar Nayak holds a patent for "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 there is no match, the device 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, the edge device matches the exit event to one of the hanging entry events based on these scores.
Career Highlights
Anil Kumar Nayak 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 has garnered attention for its practical applications and potential to enhance parking facility operations.
Collaborations
Anil has collaborated with notable colleagues, including Ji Sung Hwang and Barry James O'Brien. Their combined expertise contributes to the advancement of technology in their field.
Conclusion
Anil Kumar Nayak is a key figure in the development of machine learning solutions for vehicle management. His innovative patent showcases his commitment to improving efficiency in parking systems. His contributions are paving the way for future advancements in this area.