Beijing, China

Song Jin


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Song Jin

Introduction

Song Jin is a prominent inventor based in Beijing, China. He has made significant strides in the field of information extraction through his innovative methods and devices. His work focuses on enhancing the way electronic devices process and display data, particularly in the context of histograms.

Latest Patents

One of Song Jin's notable patents is titled "Method and device for extracting information in histogram." This patent outlines a comprehensive method for extracting information from a histogram for display on electronic devices. The process involves inputting a document containing a histogram, detecting elements within the histogram using a Faster R-CNN model, performing text recognition on detected elements, and converting the information into structured data for display. This method leverages deep learning techniques to provide an effective solution for information extraction.

Career Highlights

Song Jin is currently associated with Abc Fintech Co., Ltd., where he continues to develop innovative solutions in the tech industry. His expertise in deep learning and data processing has positioned him as a valuable asset to his company. With a patent portfolio that includes 1 patent, he demonstrates a commitment to advancing technology in meaningful ways.

Collaborations

Song Jin collaborates with talented individuals such as Zhou Yu and Yongzhi Yang. Their combined efforts contribute to the innovative environment at Abc Fintech Co., Ltd., fostering creativity and technological advancement.

Conclusion

In summary, Song Jin's contributions to the field of information extraction through his innovative patent highlight his role as a leading inventor in Beijing. His work not only enhances the functionality of electronic devices but also showcases the potential of deep learning in data processing.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…