Shandong, China

Xiufeng Song


Average Co-Inventor Count = 1.6

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Xiufeng Song

Introduction

Xiufeng Song is a notable inventor based in Shandong, China. He has made significant contributions to the field of technology, particularly in screen defect detection and target recognition methods. With a total of 2 patents, his work showcases innovative approaches to solving complex problems in electronic devices.

Latest Patents

One of Xiufeng Song's latest patents is a "Screen defect detection method, apparatus, and electronic device." This invention involves identifying suspected defective pixel points from a detection image of a target screen. The method further includes determining a suspected defect region, dividing it into a general region and a core region, and judging whether the target screen has a transparent defect based on specific gray value calculations.

Another significant patent is the "Target recognition method and device based on MASK RCNN network model." This invention outlines a method for recognizing targets using a multi-stage network as a basic network. It involves selecting intermediate layers to extract feature maps and training MASK RCNN recognition networks with a dataset. This solution is particularly effective for small target recognition in flying UAVs.

Career Highlights

Xiufeng Song has worked with prominent companies such as Goertek Inc. and Goertek Optical Technology Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Xiufeng has collaborated with talented individuals in his field, including Yifan Zhang and Jie Liu. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Xiufeng Song's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His innovative methods in screen defect detection and target recognition continue to impact the industry positively.

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