Xin-Jing Wang

Title: Xin-Jing Wang: Inventor Advancing Utility Asset Detection

Introduction

Xin-Jing Wang is an inventor based in Mountain View, California, whose work focuses on applying machine learning and image-based search to identify and map utility infrastructure. Wang is associated with X Development LLC and is credited with 2 patents.

Latest Patents

Wang’s recent patent work includes “Detecting Electrical Grid Assets.” The invention describes methods for mapping electrical grids by sampling locations across a geographic region and analyzing images from different perspectives with a machine-learning model. When the model identifies the same grid asset across images of a location, the system can examine smaller sublocations to refine detection.

Another patent, “Fast One-Shot Open Vocabulary Image-Conditioned Detection and Search Method for Utility Assets,” describes image-based detection and search in databases of utility assets. The method uses an input image and a query bounding box to identify relevant objects, generate image representations and textual labels, and retrieve images of other relevant utility assets.

Career Highlights

Wang’s disclosed inventions address practical challenges in locating and recognizing electrical grid and other utility assets. By combining machine learning, image analysis, and database search, the technologies aim to support more efficient infrastructure mapping and asset discovery.

Collaborations

Wang’s listed coworkers include Anthony Ha and Sze Mei Cat Wong. The patent descriptions also identify X Development LLC as the company associated with Wang’s work.

Conclusion

Xin-Jing Wang’s patents highlight the use of machine learning and image-based search to improve the detection, mapping, and discovery of utility assets.