Lancaster, MA, United States of America

Zi Chan

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sharkninja Operating LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zi Chan. Retrieved from https://idiyas.com/inventor/zi-chan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zi Chan and Vacuum-Cleaner Proximity Detection

Introduction

Zi Chan is an inventor based in Lancaster, Massachusetts, and is associated with SharkNinja Operating LLC. His patent work addresses vacuum-cleaner performance and sensing near walls and other objects.

Latest Patents

The supplied information lists one patent for Zi Chan: “System and Method for Detecting Walls or Objects Within a Specific Proximity of a Vacuum Floor Nozzle.” The invention describes a vacuum cleaner with a suction motor, edge-detection sensors, a headlight assembly, light sensors, and a controller. The controller uses sensor input to determine whether the cleaner is near a vertical surface and, when it is, increases suction power to a predetermined level. It also measures ambient light and adjusts the headlight intensity accordingly. The supplied data reports 1 patent.

Career Highlights

Chan’s listed patent combines proximity detection, suction control, and adaptive lighting in a vacuum-cleaner system. The work is associated with SharkNinja Operating LLC.

Collaborations

The supplied information names Baoquan Yang and Jianshu Sun as Chan’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Zi Chan’s listed invention focuses on helping a vacuum cleaner respond to nearby surfaces and changing light conditions through coordinated sensing and control.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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