Zhuhai, China

Tjark Windisch

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Robert Bosch. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tjark Windisch. Retrieved from https://idiyas.com/inventor/tjark-windisch

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

Calculating rank

% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 66(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Tjark Windisch: Inventor of a Smoke Detection System

Introduction

Tjark Windisch is an inventor associated with Zhuhai, China, and Robert Bosch. His patent work includes an image-based approach to detecting smoke by monitoring changes in light scattering.

Latest Patents

Windisch is named on 1 patent: “Smoke Detection Device, Method for Detecting at Least One Smoke Detection Feature, and Computer Program.” The invention describes a device that can connect to a monitoring camera capturing images of an area containing a stationary lighting object. An analyzing device detects the lighting object and identifies changes in its light scattering as a feature indicating smoke.

Career Highlights

The patent reflects an approach to smoke detection that uses camera images and changes in how light scatters, rather than relying solely on conventional smoke-sensing methods. Windisch is associated with Robert Bosch.

Collaborations

The provided information lists Florian Kuhn and Anton Stadler as Windisch’s coworkers. The patent description focuses on the smoke-detection device, its image-analysis method, and related computer program.

Conclusion

Tjark Windisch’s recorded patent work centers on using changes in light scattering within camera images to identify smoke in a monitored area.

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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