Company Filing History:
Years Active: 2024
Title: Kuan-Chuan Peng: Innovator in Contactless Elevator Technology
Introduction
Kuan-Chuan Peng is a notable inventor based in Charlestown, MA (US). He has made significant contributions to the field of elevator technology, particularly through his innovative approach to contactless elevator services. His work focuses on enhancing user experience and operational efficiency in elevator systems.
Latest Patents
Kuan-Chuan Peng holds a patent for a groundbreaking invention titled "Contactless elevator service for an elevator based on augmented datasets." This patent describes systems, methods, and devices for real-time contactless elevator service operation. The invention utilizes a trained neural network (TNN) model, which is trained using augmented datasets to perform elevator identifier recognition. The TNN model processes synthetic text images that are augmented with various geometrical and visual parameters, creating multiple variations for training purposes. A camera captures user images, from which a text image portion is extracted. The TNN model then detects the elevator identifier in this extracted portion, displaying it for user confirmation or cancellation. Upon user confirmation, a control command is generated based on the detected elevator identifier, facilitating seamless elevator service.
Career Highlights
Kuan-Chuan Peng is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to develop innovative technologies. His work at this esteemed organization has allowed him to push the boundaries of what is possible in elevator systems, making them more user-friendly and efficient.
Collaborations
Kuan-Chuan Peng has collaborated with notable colleagues such as Zafer Sahinoglu and Alan Sullivan. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Kuan-Chuan Peng is a pioneering inventor whose work in contactless elevator technology is shaping the future of elevator systems. His innovative patent demonstrates the potential of augmented datasets and neural networks in enhancing user experience.