Inverness, IL, United States of America

Yan-Ming Cheng

USPTO Granted Patents = 7 

Average Co-Inventor Count = 2.5

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2013-2024

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7 patents (USPTO):Explore Patents

Title: Yan-Ming Cheng: Innovator in Object Detection and Price Extraction Technologies

Introduction

Yan-Ming Cheng is a notable inventor based in Inverness, IL (US). He has made significant contributions to the fields of object detection and image processing, holding a total of 7 patents. His innovative methods have the potential to enhance various applications in retail and inventory management.

Latest Patents

Cheng's latest patents include a "Method and apparatus for object status detection." This invention involves a sophisticated method of detecting the status of objects supported by a shelf using shelf image data. The process includes obtaining multiple images of a shelf, registering them to a common frame of reference, and generating a consolidated gap indication to identify target objects. Another significant patent is the "Method and apparatus for extracting and processing price text from an image set." This method focuses on extracting price text from images of shelves, allowing for efficient processing of pricing information.

Career Highlights

Throughout his career, Yan-Ming Cheng has worked with prominent companies such as Symbol Technologies and Google. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Cheng has collaborated with talented individuals in his field, including Changxue Ma and Robert E. Beach. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Yan-Ming Cheng is a distinguished inventor whose work in object detection and price extraction technologies has made a significant impact. His patents reflect his commitment to innovation and his ability to solve complex problems in the retail sector.

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