Dinglong Huang

Title: Innovations by Dinglong Huang

Introduction

Dinglong Huang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of machine vision, holding a total of 4 patents. His work focuses on developing advanced methods and systems that enhance the capabilities of machine vision models.

Latest Patents

Huang's latest patents include "Complexity-based progressive training for machine vision models" and "Mislabeled product detection." The first patent describes methods for training machine vision models (MVMs) using noisy training datasets. It involves designing a progressively-sequenced learning curriculum that allows the MVM to learn from easier examples first, gradually moving to more complex images. This approach ensures that the MVM accumulates knowledge effectively. The second patent addresses technologies for detecting mislabeled products. It captures an image of a product when its MRL is scanned and determines if there is a mismatch between the MRL and the product based on the size of the area containing the product.

Career Highlights

Huang has worked with Shenzhen Malong Technologies Co., Ltd., where he has contributed to various innovative projects. His expertise in machine vision has positioned him as a key player in the industry.

Collaborations

Some of his notable coworkers include Matthew Robert Scott and Sheng Guo. Their collaboration has likely contributed to the advancements in the projects they have worked on together.

Conclusion

Dinglong Huang's innovative work in machine vision continues to push the boundaries of technology. His patents reflect a deep understanding of complex systems and a commitment to improving machine learning processes.