Company Filing History:
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Years Active: 2019-2021
Title: Ruxiao Bao: Innovator in Vehicle Recognition Technologies
Introduction
Ruxiao Bao is a prominent inventor based in Mountain View, CA (US). He has made significant contributions to the field of vehicle recognition technologies, holding a total of 3 patents. His innovative work focuses on optimizing the recognition and decoding of vehicle license plates, enhancing the efficiency and accuracy of this technology.
Latest Patents
One of Ruxiao Bao's latest patents is titled "Optimized Vehicle License Plate Recognition." This patent introduces techniques for optimizing vehicle license plate recognition in images. The methods involve training a set of convolutional neural networks (CNNs) using images where license plates are identified as a whole, rather than by individual characters. This approach allows for improved detection and decoding of license plates under various conditions, including different lighting, deformations, and occlusions.
Another notable patent is the "Method and System of Annotation Densification for Semantic Segmentation." This patent outlines methods for enhancing semantic segmentation through image matting and the application of a trained ConvNet model. The process results in fine semantic segmentation annotation information, which can be used to train additional models for generating accurate semantic segmentation outputs.
Career Highlights
Ruxiao Bao has worked with several notable companies, including Ccc Information Services Inc. and Didi Research America, LLC. His experience in these organizations has contributed to his expertise in developing advanced technologies in the field of image recognition and processing.
Collaborations
Throughout his career, Ruxiao Bao has collaborated with talented individuals such as Xun Xu and Neda Hantehzadeh. These collaborations have likely enriched his work and led to innovative solutions in his projects.
Conclusion
Ruxiao Bao is a distinguished inventor whose work in vehicle recognition technologies has paved the way for advancements in the field. His patents reflect a commitment to improving the accuracy and efficiency of license plate recognition systems.
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