Hongyi Fan

Title: Hongyi Fan: Advancing Symbol Reader Tuning

Introduction

Hongyi Fan is an inventor based in Franklin, Massachusetts, whose patent work addresses faster and more reliable processing of symbols. His disclosed invention focuses on tuning imaging systems so that symbol readers can capture images with quality suited to decoding.

Latest Patents

Fan is associated with 1 patent, titled “Systems and Methods for Tuning Symbol Readers.” The patent describes using a pre-trained deep learning model to identify a region of interest in an image based on attributes of the imaging device. A machine learning model then evaluates image quality and estimates whether the symbol can be decoded. The system can adjust imaging-device attributes and capture another image until the quality meets predetermined criteria. This approach is intended to support robust symbol processing with compact configurations and components that are easy to set up.

Career Highlights

Fan is associated with Cognex Corporation, a company focused on machine vision and industrial imaging technologies. His patent reflects the use of machine learning to improve the image-capture process for symbol-reading systems.

Collaborations

The patent’s listed collaborators include Xiangyun Ye and Ganesa Rukmani Ramdas Pillai. Their work is connected to the methods and systems described for tuning symbol readers.

Conclusion

Hongyi Fan’s patent combines deep learning, image-quality assessment, and adaptive camera settings to help symbol readers capture images that are more likely to decode successfully.