Pittsburgh, PA, United States of America

Zhijia Yuan


Average Co-Inventor Count = 2.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Huntington, NY (US) (2020)
  • Pittsburgh, PA (US) (2021)

Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Zhijia Yuan: Innovator in Sensor Technology

Introduction

Zhijia Yuan is a notable inventor based in Pittsburgh, PA (US), recognized for his contributions to sensor technology. He holds 2 patents that showcase his innovative approach to computing devices and methods for detecting sensor obstructions.

Latest Patents

Yuan's latest patents include a "Computing device and method of detecting sensor obstructions." This invention involves emitting a beam of light through a scan window toward a treaded surface. The method captures a sequence of images that help determine whether an obstruction is present in the scan window. The controller generates an alert if an obstruction is detected based on the intensity of reflections from the surface.

Another significant patent is the "Apparatus and method for determining tread depth." This device measures tread depth using an image sensor and depth sensing modules. It captures images as the device traverses a treaded surface, allowing for accurate depth measurements to be stored in memory.

Career Highlights

Zhijia Yuan is currently employed at Zebra Technologies Corporation, where he continues to develop innovative solutions in sensor technology. His work has significantly impacted the field, particularly in enhancing the accuracy and reliability of sensor-based measurements.

Collaborations

Yuan collaborates with talented individuals such as David S. Koch and Raghavendra Tenkasi Shankar, contributing to a dynamic work environment that fosters innovation.

Conclusion

Zhijia Yuan's contributions to sensor technology through his patents and work at Zebra Technologies Corporation highlight his role as a leading inventor in the field. His innovative methods for detecting obstructions and measuring tread depth demonstrate the potential for advancements in computing devices.

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